The reliability and efficiency of photovoltaic(PV)systems are essential for sustainable energy produc-tion,requiring accurate fault detection to minimize energy losses.This study proposes a hybrid model integrating Ne...The reliability and efficiency of photovoltaic(PV)systems are essential for sustainable energy produc-tion,requiring accurate fault detection to minimize energy losses.This study proposes a hybrid model integrating Neighborhood Components Analysis(NCA)with a Convolutional Neural Network(CNN)to improve fault detection and diagnosis.Unlike Principal Component Analysis(PCA),which may compromise class relationships during feature extraction,NCA preserves these relationships,enhancing classification performance.The hybrid model combines NCA with CNN,a fundamental deep learning architecture,to enhance fault detection and diagnosis capabilities.The performance of the proposed NCA-CNN model was evaluated against other models.The experimental evaluation demonstrates that the NCA-CNN model outperforms existing methods,achieving 100%fault detection accuracy and 99%fault diagnosis accuracy.These findings underscore the model’s potential in improving PV system reliability and efficiency.展开更多
The Ground Cover Rice Production System(GCRPS)has considerable potential for securing rice production in hilly areas.However,its impact on yields and nitrogen(N)fates remains uncertain under varying rainfall condition...The Ground Cover Rice Production System(GCRPS)has considerable potential for securing rice production in hilly areas.However,its impact on yields and nitrogen(N)fates remains uncertain under varying rainfall conditions.A two-year field experiment(2021–2022)was conducted in Ziyang,Sichuan Province,located in the hilly areas of Southwest China.The experiment included two cultivation methods:conventional flooding paddy(Paddy,W1)and GCRPS(W2).These methods were combined with three N management practices:N1(no-N fertilizer),N2(135 kg/hm^(2)urea as a base fertilizer in both W1 and W2),and N3(135 kg/hm^(2)urea with split application for W1 and 67.5 kg/hm^(2)urea and chicken manure separately for W2).The WHCNS(Soil Water Heat Carbon Nitrogen Simulator)model was calibrated and validated to simulate ponding water depth,soil water storage,soil mineral N content,leaf area index,aboveground dry matter,crop N uptake,and rice yield.Subsequently,this model was used to simulate the responses of rice yield and N fates to GCRPS under different types of precipitation years using meteorological data from 1980 to 2018.The results indicated that the WHCNS model performed well in simulating crop growth and N fates for both Paddy and GCRPS.Compared with Paddy,GCRPS reduced N leaching(35.1%–54.9%),ammonia volatilization(0.7%–13.6%),N runoff(71.1%–83.5%),denitrification(3.8%–6.7%),and total N loss(33.8%–56.9%)for all precipitation year types.However,GCRPS reduced crop N uptake and yield during wet years,while increasing crop N uptake and yield during dry and normal years.Fertilizer application reduced the stability and sustainability of rice yield in wet years,but increased the stability and sustainability of rice yield in dry and normal years.In conclusion,GCRPS is more suitable for normal and dry years in the study region,leading to increased rice yield and reduced N loss.展开更多
Paddy rice samples were parboiled by soaking at 65℃ for 180 min and steaming at 96℃ for 2–10 min,and then dried to achieve the final moisture content of 11% ± 1%. The degree of starch gelatinization （DSG） an...Paddy rice samples were parboiled by soaking at 65℃ for 180 min and steaming at 96℃ for 2–10 min,and then dried to achieve the final moisture content of 11% ± 1%. The degree of starch gelatinization （DSG） andseveral quality attributes （head rice yield （HRY）, color value and hardness） of parboiled rice were measured.Results showed that DSG （46.8%–77.9%）, color value （18.08–19.04） and hardness （118.6–219.2 N） allincreased following steaming. In contrast, the HRY increased （64.8%–67.1%） for steaming times between 2–4min but decreased （67.1%–65.0%） for steaming times between 4–10 min. Linear relations between DSG andcolor value （R2 = 0.87）, and DSG and hardness （R2 = 0.88） were observed. The suitable DSG of parboiled riceleading to the highest HRY was found to be 62.5%, obtained following 4 min of steaming.展开更多
Understanding the potential drought characteristics under climate change is essential to reduce vulnerability and establish adaptation strategies, especially in the Huang-Huai-Hai Plain （3H Plain）, which is a major ...Understanding the potential drought characteristics under climate change is essential to reduce vulnerability and establish adaptation strategies, especially in the Huang-Huai-Hai Plain （3H Plain）, which is a major grain production area in China. In this paper, we investigated the variations in drought characteristics （drought event frequency, duration, severity, and intensity） for the past 50 years （1961-2010） and under future scenarios （2010-2099）, based on the observed meteorological data and the Representative Concentration Pathway （RCP） 8.5 scenario, respectively. First, we compared the applicability of three climatic drought indices： the standardized precipitation index （SPI）, the standardized precipitation evapotranspiration index based on the Penman-Monteith equation （SPEI-PM） and the same index based on the Thornthwaite equation （SPEI-TH） to correlate the recorded agricultural drought areas. Then, we analyzed the drought characteristics using ＇run theory＇ for both historical and the future RCP 8.5 scenario based on the best performing index. Correlation analyses between drought indices and agricultural drought areas showed that SPEI-PM performed better than SPI and SPEI-TH in the 3H Plain. Based on the results of SPEI-PM, drought risks including duration, severity and intensity during 1961-2010 showed an decreasing trend. However, under the RCP 8.5 scenario, drought is expected to rise in frequency, duration, severity, and intensity from 2010-2099, although drought components during the 2010-2039 are predicted to be milder compared with historical conditions. This study highlights that the estimations for atmospheric evaporative demand would create differences in the prediction of long-term drought trends by different drought indices. The results of this study can help inform researchers and local policy makers to establish drought management strategies.展开更多
The species richness and propagule number of arbuscular mycorrhizal fungi(AMF)are high in intensively-managed agricultural soils.Past research has shown that AMF improve crop phosphorus(P)uptake under low soil P condi...The species richness and propagule number of arbuscular mycorrhizal fungi(AMF)are high in intensively-managed agricultural soils.Past research has shown that AMF improve crop phosphorus(P)uptake under low soil P conditions,however it is unclear if AMF play a role in high Olsen-P soils.In this study,we investigated whether native fungal benefits exist under high P input field conditions in-situ and contribute to P utilization.We installed in-grow tubes which were sealed with different membrane pore sizes(30 or 0.45μm)to allow or prevent AMF hyphae access to the hyphal compartment and prevent cotton roots from penetrating the chamber.We used the depletion of soil available P(Olsen-P)in the hyphae accessed compartment to indicate P uptake by the native AMF community.Our results showed that the native AMF mediated P depletion and microbial biomass P(MBP)turnover and caused the largest Olsen-P depletion ratio and MBP turnover ratio in the high P treatments(Olsen-P:78.29 mg kg^(-1)).The cotton roots in each fertilization regime were colonized by a unique AMF community and Glomus and Paraglomus were the dominant genera,implying the longterm fertilization regimes domesticated the AMF community.We conclude that native AMF caused the P depletion and P turnover even under high soil Olsen-P conditions.展开更多
The authors dealt with the effects of dynamic high pressure micro-fluidization（untreated and 20-160 MPa treated） on the structure and physico-chemical properties of egg white solutions[6%（mass fraction） or 61.2 mg...The authors dealt with the effects of dynamic high pressure micro-fluidization（untreated and 20-160 MPa treated） on the structure and physico-chemical properties of egg white solutions[6%（mass fraction） or 61.2 mg protein/mL]. Micro-fluidization treatment resulted in a decrease in mean particle size, and little change in solubility. It was found that the residual denaturation enthalpy was decreased with the increase of pressure from 20 to 100 MPa and from 120 to 160 MPa, reaching into the maximum at 160 MPa. There was an increase of surface hydrophobicity with the maximum at 100 MPa observed. Simultaneously, micro-fluidization treatment also resulted in a decrease in the content of sulfhydryl groups.展开更多
Active carbons(ACs) were prepared through chemical activation of biochar from whole corn stalk(WCS)and corn stalk pith(CSP) at varying temperatures using potassium hydroxide as the activating agent. ACs were character...Active carbons(ACs) were prepared through chemical activation of biochar from whole corn stalk(WCS)and corn stalk pith(CSP) at varying temperatures using potassium hydroxide as the activating agent. ACs were characterized via pore structural analysis and scanning electron microscopy(SEM). These adsorbents were then assessed for their adsorption capacity for butanol vapor. It was found that WCS activated at900 °C for 1 h(WCS-900) had optimal butanol adsorption characteristics. The BET surface area and total pore volume of the WCS-900 were 2330 m2/g and 1.29 cm3/g, respectively. The dynamic adsorption capacity of butanol vapor was 410.0 mg/g, a 185.1% increase compared to charcoal-based commercial AC(143.8 mg/g).展开更多
Ultrasonic and light detection and ranging(LiDAR)sensors have been some of the most deeply investigated sensing technologies within the scope of digital horticulture.They can accurately estimate geometrical and struct...Ultrasonic and light detection and ranging(LiDAR)sensors have been some of the most deeply investigated sensing technologies within the scope of digital horticulture.They can accurately estimate geometrical and structural parameters of the tree canopies providing input information for high-throughput phenotyping and precision horticulture.A review was conducted in order to describe how these technologies evolved and identify the main investigated topics,applications,and key points for future investigations in horticulture science.Most research efforts have been focused on the development of data acquisition systems,data processing,and high-resolution 3D modeling to derive structural tree parameters such as canopy volume and leaf area.Reported applications of such sensors for precision horticulture were restricted to real-time variable-rate solutions where ultrasonic or LiDAR sensors were tested to adjust plant protection product or fertilizer dose rates according to the tree volume variability.More studies exploring other applications in site-specific management are encouraged;some that integrates canopy sensing data with other sources of information collected at the within-grove scale(e.g.,digital elevation models,soil type maps,historical yield maps,etc.).Highly accurate 3D tree models derived from LiDAR scanning demonstrate their great potential for tree phenotyping.However,the technology has not been widely adopted by researchers to evaluate the performance of new plant varieties or the outcomes from different management practices.Commercial solutions for tree scanning of whole groves,orchards,and nurseries would promote such adoption and facilitate more applied research in plant phenotyping and precision horticulture.展开更多
Accurate leaf area simulation is critical for the performance of crop growth models. Area of fully expanded individual leaves of maize hybrids released before 1995 (defined as old hybrids) has been simulated using a b...Accurate leaf area simulation is critical for the performance of crop growth models. Area of fully expanded individual leaves of maize hybrids released before 1995 (defined as old hybrids) has been simulated using a bell-shaped function (BSF) and the relationship between its parameters and total leaf number (TLNO). However, modern high-yielding maize hybrids show different canopy architectures. The function parameters calibrated for old hybrids will not accurately represent modern hybrids. In this study, we evaluated these functions using a dataset including old and modern hybrids that have been widely planted in China in recent years. Maximum individual leaf area (Y_0) and corresponding leaf position (X_0) were not predicted well by TLNO (R^2= 0.56 and R^2= 0.70) for modern hybrids. Using recalibrated shape parameters a and b with values of Y_0 and X_0 for modern hybrids, the BSF accurately predicted individual leaf area (R^2= 0.95–0.99) and total leaf area of modern hybrids (R^2= 0.98). The results show that the BSF is still a robust way to predict the fully expanded leaf area of maize when parameters a and b are modified and Y_0 and X_0 are fitted. Breeding programs have led to increases in TLNO of maize but have not altered Y_0 and X_0, reducing the correlation between Y_0, X_0, and TLNO. For modern hybrids, the values of Y_0 and X_0 are hybrid-specific. Modern hybrids tend to have less-negative values of parameter a and more-positive values of parameter b in the leaf profile. Growth conditions, such as plant density and environmental conditions, also affect the fully expanded leaf area but were not considered in the original published equations. Thus, further research is needed to accurately estimate values of Y_0 and X_0 of individual modern hybrids to improve simulation of maize leaf area in crop growth models.展开更多
Manure is an impending source of carbon(C), sulfur(S) and water(H_2 O). Consequently,microbial populations utilize these constituents to produce methane(CH4), carbon dioxide(CO_2), greenhouse gases(GHGs), and hydrogen...Manure is an impending source of carbon(C), sulfur(S) and water(H_2 O). Consequently,microbial populations utilize these constituents to produce methane(CH4), carbon dioxide(CO_2), greenhouse gases(GHGs), and hydrogen sulfide(H_2 S). Application of nanoparticles(NPs) to stored manure is an emerging GHG mitigation technique. In this study, two NPs: nano zinc oxide(nZnO) and nano silver(nAg) were tested in swine manure stored under anaerobic conditions to determine their effectiveness in mitigating gaseous emissions and total gas production. The biological sources of gas production, i.e., microbial populations were characterized via Quantitative Polymerase Chain Reaction(qPCR) analysis. Additionally, pH, redox, and VFAs were determined using standard methods. Each treatment of the experiment was replicated three times and NPs were applied at a dose of 3 g/L of manure. Also, headspace gas from all treatment replicates were analyzed for CH_4 and CO_2 gas concentrations using an SRI-8610 Gas Chromatograph and H_2 S concentrations were measured using a Jerome 631 X meter. Nanoparticles tested in this study reduced the cumulative gas volume by 16%–79% compared to the control. Among the NPs tested, only nZnO consistently reduced GHG concentrations by 37%–97%. Reductions in H_2 S concentrations ranged from 87% to97%. Gaseous reductions were likely due to decreases in the activity and numbers of specific gas producing methanogenic archaea and sulfate reducing bacterial(SRB)species.展开更多
In this study,aiming at optimization of a novel continuous biodiesel production system was developed by combining technologies based on microwaves and magnetic fields.Factors affecting microwave-assisted biodiesel(alk...In this study,aiming at optimization of a novel continuous biodiesel production system was developed by combining technologies based on microwaves and magnetic fields.Factors affecting microwave-assisted biodiesel(alkyl esters)production reaction were analyzed in this investigation.Studied factors included magnetic field intensity(0,0.225 and 0.450 T),microwave power(400,821,and 1181 W),percentages of KOH and Na OH catalysts at constant concentrations of 1 wt%(0,50%and 100%),and percentages of ethanol and methanol at a constant molar ratio of 6:1(0,50%and 100%).Response Surface Methodology(RSM)was used to optimize the reaction conditions.RSM-based analysis indicated that,all independent parameters had significant effects on the reaction efficiency.Results of the investigations reveal that the largest effects on the conversion efficiency were due to type of alcohol and magnetic field intensity.The optimized conditions were found to be a magnetic field intensity of 0.331 T,a microwave power of 677.77 W,catalyst percentages of 30.35%and 69.65%for KOH and Na OH,respectively,and alcohol percentages of 80.47%and 19.53%for methanol and ethanol,respectively.Under the optimal conditions,yield of the reaction was 96.2%.展开更多
Tree improvement programs on loblolly pine(Pinus taeda) in the southeastern USA has focused primarily on improving growth, form, and disease tolerance.However, due to the recent reduction of design values for visually...Tree improvement programs on loblolly pine(Pinus taeda) in the southeastern USA has focused primarily on improving growth, form, and disease tolerance.However, due to the recent reduction of design values for visually graded southern yellow pine lumber(including loblolly pine), attention has been drawn to the material quality of genetically improved loblolly pine. In this study,we used the time-of-flight(TOF) acoustic tool to assess the effect of genetic families on diameter, slenderness, fiber length, microfibril angle(MFA), velocity and dynamic stiffness estimated using green density(DMOEG) and basic density(DMOEB) of 14-year-old loblolly pine stands selected from two sites. All the 184 and 204 trees of the selected eight half-sib genetic families on sites 1 and 2 respectively were tested using TOF acoustic tool, and two 5 mm core samples taken at breast height level(1.3 m)used to for the anatomical and physical properties analysis.The results indicated a significant positive linear relationship between dynamic MOEs(DMOEGand DMOEB)versus tree diameter, slenderness, and fiber length while dynamic MOEs negatively but nonsignificant correlated with MFA. While there was no significant difference in DMOEBbetween sites; velocity 2 for site 1 was significantly higher than site 2 but DMOEGwas higher for site 2 than site 1. Again, the mean DMOEGand DMOEBreported in the present study presents a snapshot of the expected static MOE for green and 12% moisture conditions respectively for loblolly pine. Furthermore, there were significant differences between families for most of the traits measured and this suggests that forest managers have the opportunity to select families that exhibit the desired fiber morphology for final product performance. Lastly,since the dynamic MOE based on green density(DMOEG),basic density(DMOEB) and velocity 2 present difference conclusions, practitioners of this type of acoustic technique should take care when extrapolating results across the sites.展开更多
Freezing is the most common method used to preserve and minimize loss in quality of catfish during storage.Since freezing is a heat transfer process,the design and selection of freezing equipment require knowledge of ...Freezing is the most common method used to preserve and minimize loss in quality of catfish during storage.Since freezing is a heat transfer process,the design and selection of freezing equipment require knowledge of thermophysical properties such as freezing temperature,enthalpy of freezing,unfreezable water and specific heat.Channel catfish thermophysical properties at freezing temperature were determined using differential scanning calorimetry.Using the combination of Raoult's law and Classius-Clapeyron equations,the amount of unfreezable(bound water)was estimated to be 0.129 g H20 g^-1 During freezing(or melting),the specific heat increased from about 1.5 J g^-1℃^-1 to about 30.6 J g^-1℃^-1 It was found that freezing of catfish occur over a wide temperature range with the peak and incident freezing temperatures occurring at temperatures of-1.88℃and-6.10℃,respectively.About 250 J g^-1 of heat have to be removed from catfish when it is to be frozen to-40℃.The implication is that any system that will be designed to freeze catfish must be able to remove 250 J g^-1 of heat.展开更多
Pseudomonas putida KT217 was grown on a complex medium comprised of co-products of the ethanol and biodiesel industries to assess the organism's capability to produce medium-chain-length polyhydroxyalkanoate (mcl-...Pseudomonas putida KT217 was grown on a complex medium comprised of co-products of the ethanol and biodiesel industries to assess the organism's capability to produce medium-chain-length polyhydroxyalkanoate (mcl-PHA). The growth phase was carried out in a medium containing 400 g/L condensed corn solubles (CCS), supplemented with ammonium hydroxide as a nitrogen source. Following the exponential phase, co-products of the biodiesel industry (soapstock and glycerin) were fed into the reactor to trigger PHA production. When glycerin was added to the bioreactor (75 g/L total addition), the final cell dry weight (CDW) and PHA content were 30 g/L and 31%, respectively. The monomeric composition in the PHA formed was relatively uniform throughout incubation with 3-hydroxydecanoate dominating. When a total of 153 g/L of sunflower soapstock was added to the bioreactor in a fed-batch manner, the final CDW and PHA content were 17 g/L and 17%, respectively. Following addition of soapstock the monomeric composition of the polymer changed dramatically, with the 3-hydroxyoctanoate monomer becoming dominant and greater unsaturation present in the PHA.展开更多
Seven zoysiagrass genotypes were evaluated for salt tolerance in a greenhouse study.The plant materials included Zoysia matrella'Diamond',Z.japonica'Palisades',three Z.matrella×Z.japonica hybrids ...Seven zoysiagrass genotypes were evaluated for salt tolerance in a greenhouse study.The plant materials included Zoysia matrella'Diamond',Z.japonica'Palisades',three Z.matrella×Z.japonica hybrids DALZ 1701,DALZ 1713,and'Innovation',and two Z.minima×Z.matrella hybrids(DALZ 1309 and'Lazer').Treatments included a control(nutrient solution)and two saline treatments representing moderate and high salt levels.The electrical conductivity(EC)was 1.3 dS m−1 for control and moderate(EC5)and high salinity(EC10)were 5.0 and 10.0 dS m−1,respectively.At the end of eight-weeks of treatment,the relative(percent control)shoot dry weight(DW)was greatest in'Diamond'in EC10,and the relative root DW was greatest in DALZ 1309 in EC5.A cluster analysis based on the relative tissue dry weight identified'Diamond',DALZ 1309,and DALZ 1713 as the most salt tolerant genotypes.Additionally,the green leaf area(GLA)index of'Diamond'and DALZ 1713 were 98.8%and 100%,respectively,indicating excellent visual appearance under high salt levels.Bi-weekly clipping DW showed that'Diamond'continued to produce biomass throughout the duration of the study under the EC10 treatment.Sodium(Na^(+))and chloride(Cl−)content in the shoot tissue of the seven turfgrass genotypes indicated that lower concentrations corresponded to greater salt tolerance indicating exclusion of Na+and Cl−from the shoot tissue.Taken together,the genotypes'Diamond'and DALZ 1713 were determined to be the most salt tolerant and recommended for use in areas with high soil or water salinity.展开更多
Fusarium crown rot (FCR) is a chronic disease in many regions of the world in wheat, caused by Fusarium culmorum, Fusarium pseudograminearum, and Fusarium graminearum. The operational efficacy of pesticide application...Fusarium crown rot (FCR) is a chronic disease in many regions of the world in wheat, caused by Fusarium culmorum, Fusarium pseudograminearum, and Fusarium graminearum. The operational efficacy of pesticide applications using unmanned aerial vehicles (UAVs) significantly affects the biological efficacy of the pesticides. This study aimed to compare the effectiveness of unmanned aerial vehicle and field sprayer applications in controlling crown rot diseases frequently observed in wheat crops in the Thrace region, Turkey. A licensed fungicide containing the active ingredients, prochloraz plus trifloxystrobin plus cyproconazole mixture was applied to wheat during the ZGS 27 growth stage. The disease severity, disease incidence, and the effectiveness of fungicide treatment on disease severity (%) were evaluated for F. culmorum crown rot disease. The results showed that the severity of the disease during the seedling stage was 11.25% and 18.33% for unmanned aerial vehicle and field sprayer applications, respectively. In the harvest stage, the incidence of disease was 28.33%-39.99% and 48.75%-51.25%, respectively, and the effectiveness of unmanned aerial vehicle application was found to be high, approximately 52%, during the seedling and harvest stages. The unmanned aerial vehicle, acting similarly to the field sprayer, exhibited higher grain quality under conditions of stress from disease. Furthermore, spike weight, grain weight, and number of grains exhibited stronger positive correlations compared to unmanned aerial vehicle treatment. Therefore, unmanned aerial vehicles have promising potential as viable options to manage FCR when the prevailing environmental conditions are not conducive to the use of field sprayer. The results of this research will guide future studies to investigate the efficacy of UAVs on a wider range of pesticides and to further develop the technology to investigate its effectiveness, cost-effectiveness, and sustainability in agricultural applications.展开更多
This paper presents a comprehensive model for selecting optimal sites for geothermal heated greenhouses in the agricultural industry.The research involves two main components:assessing the geothermal energy resource u...This paper presents a comprehensive model for selecting optimal sites for geothermal heated greenhouses in the agricultural industry.The research involves two main components:assessing the geothermal energy resource using geological,geochemical and geophysical indicators;and developing a siting model based on fuzzy logic that considers technical,environmental and socio-economic factors.The study focuses on East Azerbaijan province in Iran-a cold region.The results indicate that~3.24%of the total area of the province is suitable for constructing geothermal greenhouses,resulting in potential savings of~148000 and 745978 m3 of natural gas in areas with high and very high suitability,respectively.展开更多
Facilitating non-contact measurement,a computer-imaging system was devised and evaluated to predict the chlorophyll content in potato leaves.A charge-coupled device(CCD)camera paired with two optical filters and light...Facilitating non-contact measurement,a computer-imaging system was devised and evaluated to predict the chlorophyll content in potato leaves.A charge-coupled device(CCD)camera paired with two optical filters and light chamber was used to acquire green(550±40 nm)and red band(700±40 nm)images from the same leaf.Potato leaves from 15 plants differing in coloration(green to yellow)and age were selected for this study.Histogram based image features,such as mean and variances of green and red band images,were extracted from the histogram.Regression analyses demonstrated that the variations in SPAD meter reading could be explained by themeangrayandvariances of gray scale values.The fitted least square models based on the mean gray scale levels were inversely related to the chlorophyll content of the potato leaf with a R^2 of 0.87 using a green band image and with an R2 of 0.79 using a red band image.With the extracted four image features,the developed multiple linear regression model predicted the chlorophyll content with a high R^2 of 0.88).The multiple regression model(using all features)provided an average prediction accuracy of 85.08% and amaximum accuracy of 99.8%.The prediction model using only mean gray value of red band showed an average accuracy of 81.6% with a maximum accuracy of 99.14%.展开更多
文摘The reliability and efficiency of photovoltaic(PV)systems are essential for sustainable energy produc-tion,requiring accurate fault detection to minimize energy losses.This study proposes a hybrid model integrating Neighborhood Components Analysis(NCA)with a Convolutional Neural Network(CNN)to improve fault detection and diagnosis.Unlike Principal Component Analysis(PCA),which may compromise class relationships during feature extraction,NCA preserves these relationships,enhancing classification performance.The hybrid model combines NCA with CNN,a fundamental deep learning architecture,to enhance fault detection and diagnosis capabilities.The performance of the proposed NCA-CNN model was evaluated against other models.The experimental evaluation demonstrates that the NCA-CNN model outperforms existing methods,achieving 100%fault detection accuracy and 99%fault diagnosis accuracy.These findings underscore the model’s potential in improving PV system reliability and efficiency.
基金supported by the National Natural Science Foundation of China (Grant No.41977008)the 2115 Talent Development Program of China Agricultural University (Grant No.1191-00109011)。
文摘The Ground Cover Rice Production System(GCRPS)has considerable potential for securing rice production in hilly areas.However,its impact on yields and nitrogen(N)fates remains uncertain under varying rainfall conditions.A two-year field experiment(2021–2022)was conducted in Ziyang,Sichuan Province,located in the hilly areas of Southwest China.The experiment included two cultivation methods:conventional flooding paddy(Paddy,W1)and GCRPS(W2).These methods were combined with three N management practices:N1(no-N fertilizer),N2(135 kg/hm^(2)urea as a base fertilizer in both W1 and W2),and N3(135 kg/hm^(2)urea with split application for W1 and 67.5 kg/hm^(2)urea and chicken manure separately for W2).The WHCNS(Soil Water Heat Carbon Nitrogen Simulator)model was calibrated and validated to simulate ponding water depth,soil water storage,soil mineral N content,leaf area index,aboveground dry matter,crop N uptake,and rice yield.Subsequently,this model was used to simulate the responses of rice yield and N fates to GCRPS under different types of precipitation years using meteorological data from 1980 to 2018.The results indicated that the WHCNS model performed well in simulating crop growth and N fates for both Paddy and GCRPS.Compared with Paddy,GCRPS reduced N leaching(35.1%–54.9%),ammonia volatilization(0.7%–13.6%),N runoff(71.1%–83.5%),denitrification(3.8%–6.7%),and total N loss(33.8%–56.9%)for all precipitation year types.However,GCRPS reduced crop N uptake and yield during wet years,while increasing crop N uptake and yield during dry and normal years.Fertilizer application reduced the stability and sustainability of rice yield in wet years,but increased the stability and sustainability of rice yield in dry and normal years.In conclusion,GCRPS is more suitable for normal and dry years in the study region,leading to increased rice yield and reduced N loss.
文摘Paddy rice samples were parboiled by soaking at 65℃ for 180 min and steaming at 96℃ for 2–10 min,and then dried to achieve the final moisture content of 11% ± 1%. The degree of starch gelatinization （DSG） andseveral quality attributes （head rice yield （HRY）, color value and hardness） of parboiled rice were measured.Results showed that DSG （46.8%–77.9%）, color value （18.08–19.04） and hardness （118.6–219.2 N） allincreased following steaming. In contrast, the HRY increased （64.8%–67.1%） for steaming times between 2–4min but decreased （67.1%–65.0%） for steaming times between 4–10 min. Linear relations between DSG andcolor value （R2 = 0.87）, and DSG and hardness （R2 = 0.88） were observed. The suitable DSG of parboiled riceleading to the highest HRY was found to be 62.5%, obtained following 4 min of steaming.
基金supported by the National Basic Research Program of China (973 Program,2012CB955904)the National Key Technologies R&D Program of China during the 12th Five-year Plan period (2012BAD09B01)the National Science Foundation for Young Scientists of China (41401510)
文摘Understanding the potential drought characteristics under climate change is essential to reduce vulnerability and establish adaptation strategies, especially in the Huang-Huai-Hai Plain （3H Plain）, which is a major grain production area in China. In this paper, we investigated the variations in drought characteristics （drought event frequency, duration, severity, and intensity） for the past 50 years （1961-2010） and under future scenarios （2010-2099）, based on the observed meteorological data and the Representative Concentration Pathway （RCP） 8.5 scenario, respectively. First, we compared the applicability of three climatic drought indices： the standardized precipitation index （SPI）, the standardized precipitation evapotranspiration index based on the Penman-Monteith equation （SPEI-PM） and the same index based on the Thornthwaite equation （SPEI-TH） to correlate the recorded agricultural drought areas. Then, we analyzed the drought characteristics using ＇run theory＇ for both historical and the future RCP 8.5 scenario based on the best performing index. Correlation analyses between drought indices and agricultural drought areas showed that SPEI-PM performed better than SPI and SPEI-TH in the 3H Plain. Based on the results of SPEI-PM, drought risks including duration, severity and intensity during 1961-2010 showed an decreasing trend. However, under the RCP 8.5 scenario, drought is expected to rise in frequency, duration, severity, and intensity from 2010-2099, although drought components during the 2010-2039 are predicted to be milder compared with historical conditions. This study highlights that the estimations for atmospheric evaporative demand would create differences in the prediction of long-term drought trends by different drought indices. The results of this study can help inform researchers and local policy makers to establish drought management strategies.
基金financially supported by the Beijing Natural Science Foundation,China(6202015)the National Natural Science Foundation of China(U1703232)the Hatch Project(ALA014-1-16016)funded by the National Institute of Food and Agriculture,US Department of Agriculture。
文摘The species richness and propagule number of arbuscular mycorrhizal fungi(AMF)are high in intensively-managed agricultural soils.Past research has shown that AMF improve crop phosphorus(P)uptake under low soil P conditions,however it is unclear if AMF play a role in high Olsen-P soils.In this study,we investigated whether native fungal benefits exist under high P input field conditions in-situ and contribute to P utilization.We installed in-grow tubes which were sealed with different membrane pore sizes(30 or 0.45μm)to allow or prevent AMF hyphae access to the hyphal compartment and prevent cotton roots from penetrating the chamber.We used the depletion of soil available P(Olsen-P)in the hyphae accessed compartment to indicate P uptake by the native AMF community.Our results showed that the native AMF mediated P depletion and microbial biomass P(MBP)turnover and caused the largest Olsen-P depletion ratio and MBP turnover ratio in the high P treatments(Olsen-P:78.29 mg kg^(-1)).The cotton roots in each fertilization regime were colonized by a unique AMF community and Glomus and Paraglomus were the dominant genera,implying the longterm fertilization regimes domesticated the AMF community.We conclude that native AMF caused the P depletion and P turnover even under high soil Olsen-P conditions.
基金Supported by the National Natural Science Foundation of China(No.20666004)Program for Changjiang Scholars and Innovative Research Team in University of China(No.IRT0540)
文摘The authors dealt with the effects of dynamic high pressure micro-fluidization（untreated and 20-160 MPa treated） on the structure and physico-chemical properties of egg white solutions[6%（mass fraction） or 61.2 mg protein/mL]. Micro-fluidization treatment resulted in a decrease in mean particle size, and little change in solubility. It was found that the residual denaturation enthalpy was decreased with the increase of pressure from 20 to 100 MPa and from 120 to 160 MPa, reaching into the maximum at 160 MPa. There was an increase of surface hydrophobicity with the maximum at 100 MPa observed. Simultaneously, micro-fluidization treatment also resulted in a decrease in the content of sulfhydryl groups.
基金supported by following projects:“Development of high value carbon based adsorbents from thermochemically produced biochar”USDA-NIFA2011-67009-20030 through the USDA-NIFA Agriculture and Food Research Initiative Sustainable Bioenergy Program which funded the Micropore analyzer and instruments for modifying AC+1 种基金NSF EPSCoR TrackⅡDakota Bio Con center(National Science Foundation/EPSCo R Award No.1330842)supported Mr.Cao Yuhe for his PhD study and GC–MS instrumentDOE Sun Grant Concept Project“Developing Gas Stripping-Adsorption/Desorption Separation Processes based on Porous Carbon Adsorbents for Biofuel Purification from Bioreactors”(North Central Sun Grant Award No.1300478)supported upgrading the Chemical Adsorption Analyzer
文摘Active carbons(ACs) were prepared through chemical activation of biochar from whole corn stalk(WCS)and corn stalk pith(CSP) at varying temperatures using potassium hydroxide as the activating agent. ACs were characterized via pore structural analysis and scanning electron microscopy(SEM). These adsorbents were then assessed for their adsorption capacity for butanol vapor. It was found that WCS activated at900 °C for 1 h(WCS-900) had optimal butanol adsorption characteristics. The BET surface area and total pore volume of the WCS-900 were 2330 m2/g and 1.29 cm3/g, respectively. The dynamic adsorption capacity of butanol vapor was 410.0 mg/g, a 185.1% increase compared to charcoal-based commercial AC(143.8 mg/g).
基金We thank the São Paulo Research Foundation(FAPESP)for providing a scholarship to the first author(grant:2013/18853-0)the Coordination for the Improvement of Higher Education Personnel(CAPES),for funding the first author at the University of Lleida(grant:bex_3751/15-5).
文摘Ultrasonic and light detection and ranging(LiDAR)sensors have been some of the most deeply investigated sensing technologies within the scope of digital horticulture.They can accurately estimate geometrical and structural parameters of the tree canopies providing input information for high-throughput phenotyping and precision horticulture.A review was conducted in order to describe how these technologies evolved and identify the main investigated topics,applications,and key points for future investigations in horticulture science.Most research efforts have been focused on the development of data acquisition systems,data processing,and high-resolution 3D modeling to derive structural tree parameters such as canopy volume and leaf area.Reported applications of such sensors for precision horticulture were restricted to real-time variable-rate solutions where ultrasonic or LiDAR sensors were tested to adjust plant protection product or fertilizer dose rates according to the tree volume variability.More studies exploring other applications in site-specific management are encouraged;some that integrates canopy sensing data with other sources of information collected at the within-grove scale(e.g.,digital elevation models,soil type maps,historical yield maps,etc.).Highly accurate 3D tree models derived from LiDAR scanning demonstrate their great potential for tree phenotyping.However,the technology has not been widely adopted by researchers to evaluate the performance of new plant varieties or the outcomes from different management practices.Commercial solutions for tree scanning of whole groves,orchards,and nurseries would promote such adoption and facilitate more applied research in plant phenotyping and precision horticulture.
基金the National Basic Research Program of China (973-2015CB150400)the National Institute of Food and Agriculture (ALA014-1-16016)U.S. Department of Agriculture,Hatch project under ALA014-1-16016
文摘Accurate leaf area simulation is critical for the performance of crop growth models. Area of fully expanded individual leaves of maize hybrids released before 1995 (defined as old hybrids) has been simulated using a bell-shaped function (BSF) and the relationship between its parameters and total leaf number (TLNO). However, modern high-yielding maize hybrids show different canopy architectures. The function parameters calibrated for old hybrids will not accurately represent modern hybrids. In this study, we evaluated these functions using a dataset including old and modern hybrids that have been widely planted in China in recent years. Maximum individual leaf area (Y_0) and corresponding leaf position (X_0) were not predicted well by TLNO (R^2= 0.56 and R^2= 0.70) for modern hybrids. Using recalibrated shape parameters a and b with values of Y_0 and X_0 for modern hybrids, the BSF accurately predicted individual leaf area (R^2= 0.95–0.99) and total leaf area of modern hybrids (R^2= 0.98). The results show that the BSF is still a robust way to predict the fully expanded leaf area of maize when parameters a and b are modified and Y_0 and X_0 are fitted. Breeding programs have led to increases in TLNO of maize but have not altered Y_0 and X_0, reducing the correlation between Y_0, X_0, and TLNO. For modern hybrids, the values of Y_0 and X_0 are hybrid-specific. Modern hybrids tend to have less-negative values of parameter a and more-positive values of parameter b in the leaf profile. Growth conditions, such as plant density and environmental conditions, also affect the fully expanded leaf area but were not considered in the original published equations. Thus, further research is needed to accurately estimate values of Y_0 and X_0 of individual modern hybrids to improve simulation of maize leaf area in crop growth models.
基金The USDA National Institute of Food and Agriculture award#2015-67022-22996 supported this worksupported by the USDA National Institute of Food and Agriculture,Hatch project number ND01477
文摘Manure is an impending source of carbon(C), sulfur(S) and water(H_2 O). Consequently,microbial populations utilize these constituents to produce methane(CH4), carbon dioxide(CO_2), greenhouse gases(GHGs), and hydrogen sulfide(H_2 S). Application of nanoparticles(NPs) to stored manure is an emerging GHG mitigation technique. In this study, two NPs: nano zinc oxide(nZnO) and nano silver(nAg) were tested in swine manure stored under anaerobic conditions to determine their effectiveness in mitigating gaseous emissions and total gas production. The biological sources of gas production, i.e., microbial populations were characterized via Quantitative Polymerase Chain Reaction(qPCR) analysis. Additionally, pH, redox, and VFAs were determined using standard methods. Each treatment of the experiment was replicated three times and NPs were applied at a dose of 3 g/L of manure. Also, headspace gas from all treatment replicates were analyzed for CH_4 and CO_2 gas concentrations using an SRI-8610 Gas Chromatograph and H_2 S concentrations were measured using a Jerome 631 X meter. Nanoparticles tested in this study reduced the cumulative gas volume by 16%–79% compared to the control. Among the NPs tested, only nZnO consistently reduced GHG concentrations by 37%–97%. Reductions in H_2 S concentrations ranged from 87% to97%. Gaseous reductions were likely due to decreases in the activity and numbers of specific gas producing methanogenic archaea and sulfate reducing bacterial(SRB)species.
基金the university research deputy for its financial resources.
文摘In this study,aiming at optimization of a novel continuous biodiesel production system was developed by combining technologies based on microwaves and magnetic fields.Factors affecting microwave-assisted biodiesel(alkyl esters)production reaction were analyzed in this investigation.Studied factors included magnetic field intensity(0,0.225 and 0.450 T),microwave power(400,821,and 1181 W),percentages of KOH and Na OH catalysts at constant concentrations of 1 wt%(0,50%and 100%),and percentages of ethanol and methanol at a constant molar ratio of 6:1(0,50%and 100%).Response Surface Methodology(RSM)was used to optimize the reaction conditions.RSM-based analysis indicated that,all independent parameters had significant effects on the reaction efficiency.Results of the investigations reveal that the largest effects on the conversion efficiency were due to type of alcohol and magnetic field intensity.The optimized conditions were found to be a magnetic field intensity of 0.331 T,a microwave power of 677.77 W,catalyst percentages of 30.35%and 69.65%for KOH and Na OH,respectively,and alcohol percentages of 80.47%and 19.53%for methanol and ethanol,respectively.Under the optimal conditions,yield of the reaction was 96.2%.
基金supported by the Auburn University Intramural funds
文摘Tree improvement programs on loblolly pine(Pinus taeda) in the southeastern USA has focused primarily on improving growth, form, and disease tolerance.However, due to the recent reduction of design values for visually graded southern yellow pine lumber(including loblolly pine), attention has been drawn to the material quality of genetically improved loblolly pine. In this study,we used the time-of-flight(TOF) acoustic tool to assess the effect of genetic families on diameter, slenderness, fiber length, microfibril angle(MFA), velocity and dynamic stiffness estimated using green density(DMOEG) and basic density(DMOEB) of 14-year-old loblolly pine stands selected from two sites. All the 184 and 204 trees of the selected eight half-sib genetic families on sites 1 and 2 respectively were tested using TOF acoustic tool, and two 5 mm core samples taken at breast height level(1.3 m)used to for the anatomical and physical properties analysis.The results indicated a significant positive linear relationship between dynamic MOEs(DMOEGand DMOEB)versus tree diameter, slenderness, and fiber length while dynamic MOEs negatively but nonsignificant correlated with MFA. While there was no significant difference in DMOEBbetween sites; velocity 2 for site 1 was significantly higher than site 2 but DMOEGwas higher for site 2 than site 1. Again, the mean DMOEGand DMOEBreported in the present study presents a snapshot of the expected static MOE for green and 12% moisture conditions respectively for loblolly pine. Furthermore, there were significant differences between families for most of the traits measured and this suggests that forest managers have the opportunity to select families that exhibit the desired fiber morphology for final product performance. Lastly,since the dynamic MOE based on green density(DMOEG),basic density(DMOEB) and velocity 2 present difference conclusions, practitioners of this type of acoustic technique should take care when extrapolating results across the sites.
文摘Freezing is the most common method used to preserve and minimize loss in quality of catfish during storage.Since freezing is a heat transfer process,the design and selection of freezing equipment require knowledge of thermophysical properties such as freezing temperature,enthalpy of freezing,unfreezable water and specific heat.Channel catfish thermophysical properties at freezing temperature were determined using differential scanning calorimetry.Using the combination of Raoult's law and Classius-Clapeyron equations,the amount of unfreezable(bound water)was estimated to be 0.129 g H20 g^-1 During freezing(or melting),the specific heat increased from about 1.5 J g^-1℃^-1 to about 30.6 J g^-1℃^-1 It was found that freezing of catfish occur over a wide temperature range with the peak and incident freezing temperatures occurring at temperatures of-1.88℃and-6.10℃,respectively.About 250 J g^-1 of heat have to be removed from catfish when it is to be frozen to-40℃.The implication is that any system that will be designed to freeze catfish must be able to remove 250 J g^-1 of heat.
文摘Pseudomonas putida KT217 was grown on a complex medium comprised of co-products of the ethanol and biodiesel industries to assess the organism's capability to produce medium-chain-length polyhydroxyalkanoate (mcl-PHA). The growth phase was carried out in a medium containing 400 g/L condensed corn solubles (CCS), supplemented with ammonium hydroxide as a nitrogen source. Following the exponential phase, co-products of the biodiesel industry (soapstock and glycerin) were fed into the reactor to trigger PHA production. When glycerin was added to the bioreactor (75 g/L total addition), the final cell dry weight (CDW) and PHA content were 30 g/L and 31%, respectively. The monomeric composition in the PHA formed was relatively uniform throughout incubation with 3-hydroxydecanoate dominating. When a total of 153 g/L of sunflower soapstock was added to the bioreactor in a fed-batch manner, the final CDW and PHA content were 17 g/L and 17%, respectively. Following addition of soapstock the monomeric composition of the polymer changed dramatically, with the 3-hydroxyoctanoate monomer becoming dominant and greater unsaturation present in the PHA.
基金Funding for this project is provided by USDA NIFA to Project No.2017-68007-26318through the Agriculture and Food Research Initiative,Water for Agricultural Challenge Area,and hatch project TEX07726.
文摘Seven zoysiagrass genotypes were evaluated for salt tolerance in a greenhouse study.The plant materials included Zoysia matrella'Diamond',Z.japonica'Palisades',three Z.matrella×Z.japonica hybrids DALZ 1701,DALZ 1713,and'Innovation',and two Z.minima×Z.matrella hybrids(DALZ 1309 and'Lazer').Treatments included a control(nutrient solution)and two saline treatments representing moderate and high salt levels.The electrical conductivity(EC)was 1.3 dS m−1 for control and moderate(EC5)and high salinity(EC10)were 5.0 and 10.0 dS m−1,respectively.At the end of eight-weeks of treatment,the relative(percent control)shoot dry weight(DW)was greatest in'Diamond'in EC10,and the relative root DW was greatest in DALZ 1309 in EC5.A cluster analysis based on the relative tissue dry weight identified'Diamond',DALZ 1309,and DALZ 1713 as the most salt tolerant genotypes.Additionally,the green leaf area(GLA)index of'Diamond'and DALZ 1713 were 98.8%and 100%,respectively,indicating excellent visual appearance under high salt levels.Bi-weekly clipping DW showed that'Diamond'continued to produce biomass throughout the duration of the study under the EC10 treatment.Sodium(Na^(+))and chloride(Cl−)content in the shoot tissue of the seven turfgrass genotypes indicated that lower concentrations corresponded to greater salt tolerance indicating exclusion of Na+and Cl−from the shoot tissue.Taken together,the genotypes'Diamond'and DALZ 1713 were determined to be the most salt tolerant and recommended for use in areas with high soil or water salinity.
基金the student team members Arife Adak,Cagatay Dayan,Alara Uzuner,KemalÇelik,Aysenur Topcu,and Gurkan Simsek for their important contributions.
文摘Fusarium crown rot (FCR) is a chronic disease in many regions of the world in wheat, caused by Fusarium culmorum, Fusarium pseudograminearum, and Fusarium graminearum. The operational efficacy of pesticide applications using unmanned aerial vehicles (UAVs) significantly affects the biological efficacy of the pesticides. This study aimed to compare the effectiveness of unmanned aerial vehicle and field sprayer applications in controlling crown rot diseases frequently observed in wheat crops in the Thrace region, Turkey. A licensed fungicide containing the active ingredients, prochloraz plus trifloxystrobin plus cyproconazole mixture was applied to wheat during the ZGS 27 growth stage. The disease severity, disease incidence, and the effectiveness of fungicide treatment on disease severity (%) were evaluated for F. culmorum crown rot disease. The results showed that the severity of the disease during the seedling stage was 11.25% and 18.33% for unmanned aerial vehicle and field sprayer applications, respectively. In the harvest stage, the incidence of disease was 28.33%-39.99% and 48.75%-51.25%, respectively, and the effectiveness of unmanned aerial vehicle application was found to be high, approximately 52%, during the seedling and harvest stages. The unmanned aerial vehicle, acting similarly to the field sprayer, exhibited higher grain quality under conditions of stress from disease. Furthermore, spike weight, grain weight, and number of grains exhibited stronger positive correlations compared to unmanned aerial vehicle treatment. Therefore, unmanned aerial vehicles have promising potential as viable options to manage FCR when the prevailing environmental conditions are not conducive to the use of field sprayer. The results of this research will guide future studies to investigate the efficacy of UAVs on a wider range of pesticides and to further develop the technology to investigate its effectiveness, cost-effectiveness, and sustainability in agricultural applications.
文摘This paper presents a comprehensive model for selecting optimal sites for geothermal heated greenhouses in the agricultural industry.The research involves two main components:assessing the geothermal energy resource using geological,geochemical and geophysical indicators;and developing a siting model based on fuzzy logic that considers technical,environmental and socio-economic factors.The study focuses on East Azerbaijan province in Iran-a cold region.The results indicate that~3.24%of the total area of the province is suitable for constructing geothermal greenhouses,resulting in potential savings of~148000 and 745978 m3 of natural gas in areas with high and very high suitability,respectively.
文摘Facilitating non-contact measurement,a computer-imaging system was devised and evaluated to predict the chlorophyll content in potato leaves.A charge-coupled device(CCD)camera paired with two optical filters and light chamber was used to acquire green(550±40 nm)and red band(700±40 nm)images from the same leaf.Potato leaves from 15 plants differing in coloration(green to yellow)and age were selected for this study.Histogram based image features,such as mean and variances of green and red band images,were extracted from the histogram.Regression analyses demonstrated that the variations in SPAD meter reading could be explained by themeangrayandvariances of gray scale values.The fitted least square models based on the mean gray scale levels were inversely related to the chlorophyll content of the potato leaf with a R^2 of 0.87 using a green band image and with an R2 of 0.79 using a red band image.With the extracted four image features,the developed multiple linear regression model predicted the chlorophyll content with a high R^2 of 0.88).The multiple regression model(using all features)provided an average prediction accuracy of 85.08% and amaximum accuracy of 99.8%.The prediction model using only mean gray value of red band showed an average accuracy of 81.6% with a maximum accuracy of 99.14%.
