Date palm(Phoenix dactylifera L.)seeds,often discarded as by-products during date fruit processing,represent approximately 6-20%of the fruit’s mass depending on cultivar and maturity stage.Although traditionally used...Date palm(Phoenix dactylifera L.)seeds,often discarded as by-products during date fruit processing,represent approximately 6-20%of the fruit’s mass depending on cultivar and maturity stage.Although traditionally used for producing activated charcoal and in environmental remediation,their pharmacological potential remains underexplored.This study aimed to evaluate the chemical composition,biological activity,and potential commercial value of seeds from four widely consumed Saharan cultivars(Assiane,Boufegouss,Aziza,and Majhoul)collected in the Figuig region.Soxhlet extraction was employed to obtain seed extracts,which were subsequently characterized by qualitative and quantitative phytochemical screening.The analyses revealed the presence of polyphenols,flavonoids,terpenoids,steroids,alkaloids,and other secondary metabolites.The Aziza and Boufegouss varieties were particularly rich in flavonoids(82.09-139.61 mg quercetin equivalents/100 g dry matter)and total polyphenols(69.81-1183.96 mg gallic acid equivalents/100 g dry matter).Mineral profiling confirmed the occurrence of essential trace elements,including Zn,Cu,Fe,and Co.To investigate their antidiabetic potential,in vitro assays ofα-glucosidase andα-amylase inhibition were performed.Acetone extracts demonstrated significant inhibitory activity against both enzymes,suggesting a promising role of P.dactylifera seed extracts as natural agents for the management of type 2 diabetes mellitus.展开更多
In this study,an automated multimodal system for detecting,classifying,and dating fruit was developed using a two-stage YOLOv11 pipeline.In the first stage,the YOLOv11 detection model locates individual date fruits in...In this study,an automated multimodal system for detecting,classifying,and dating fruit was developed using a two-stage YOLOv11 pipeline.In the first stage,the YOLOv11 detection model locates individual date fruits in real time by drawing bounding boxes around them.These bounding boxes are subsequently passed to a YOLOv11 classification model,which analyzes cropped images and assigns class labels.An additional counting module automatically tallies the detected fruits,offering a near-instantaneous estimation of quantity.The experimental results suggest high precision and recall for detection,high classification accuracy(across 15 classes),and near-perfect counting in real time.This paper presents a multi-stage pipeline for date fruit detection,classification,and automated counting,employing YOLOv11-based models to achieve high accuracy while maintaining real-time throughput.The results demonstrated that the detection precision exceeded 90%,the classification accuracy approached 92%,and the counting module correlated closely with the manual tallies.These findings confirm the potential of reducing manual labour and enhancing operational efficiency in post-harvesting processes.Future studies will include dataset expansion,user-centric interfaces,and integration with harvesting robotics.展开更多
The ideology of being ready to make innovation and keeping abreast of the times is a defining feature of the Chinese civilization.IN several of his recent speeches President Xi Jinping stressed that the Chinese civili...The ideology of being ready to make innovation and keeping abreast of the times is a defining feature of the Chinese civilization.IN several of his recent speeches President Xi Jinping stressed that the Chinese civilization has the tradition of discarding the outdated in favor of the new and moving ahead with the times.In exploring a new philosophy that is suitable for governing China in the new era,China draws on its fine traditional culture to find ways of abolishing outdated ideas and making theoretical,practical,and institutional innovations,thus staying abreast of the time to create a better future.展开更多
Optimizing sowing dates(SDs)represents a viable strategy for adapting maize production to climate change and enhancing yield.However,research remains limited regarding the integrated effects of lodging and yield in re...Optimizing sowing dates(SDs)represents a viable strategy for adapting maize production to climate change and enhancing yield.However,research remains limited regarding the integrated effects of lodging and yield in relation to climatic variables across different SDs.This study examines the patterns and distribution of key climatic variables during maize growth seasons,their influence on yield and lodging,and the critical factors affecting lodging at crucial growth stages under various SD scenarios.The research evaluated climate change impacts on yield and lodging through field experiments spanning 5 years(2015,2016,2019-2021),incorporating 25 SDs in the Sichuan Basin,China.Results indicated that lodging rate significantly affected the coefficient of variation(CV,3.31-10.50%)of maize yield.Each 1%increase in lodging rate resulted in a yield reduction of 58.05 kg ha^(-1).SD modifications notably influenced solar radiation(Sr)from emergence to silking(E-R1).The study determined that Sr accounted for 34.7%of lodging rate variation in E-R1.Analysis of historical meteorological data revealed significant inter-annual Sr variations,showing a decline of-8.7763 MJ m^(-2)yr^(-1)from 1990 to 2021,particularly evident from late May to early July.Variation partitioning analysis(VPA)demonstrated that climatic variables during emergence to physiological maturity(E-R6)and E-R1 explained 43.9 and 53.2%of yield variation across SDs,respectively,while contributing 56.0 and 45.4%to lodging.Random forest(RF)analysis established that SD changes primarily influenced lodging rates through modifications in basal internode morphology,explaining 69.79%of the variation.The research identified optimal sowing dates between late March and mid-April for achieving consistent high yields,attributed to increased Sr during E-R1.This study provides critical insights into climate change effects on stalk lodging and offers practical guidance for SD adjustment to reduce maize lodging rates.展开更多
Adjustment of the sowing date is a widely used measure in rice production for adapting to high-temperature conditions.However,the impact of a delayed sowing date(DS)on rice quality may vary by variety and ecological c...Adjustment of the sowing date is a widely used measure in rice production for adapting to high-temperature conditions.However,the impact of a delayed sowing date(DS)on rice quality may vary by variety and ecological conditions.In this study,we conducted experiments using four different sowing dates,the conventional sowing date 1(CS1),CS2(10 d later than CS1),DS1(30 d later than CS1),and DS2(30 d later than CS2),and three rice varieties,i.e.,Yixiangyou 2115,Fyou 498,and Chuanyou 6203.This experiment was conducted at four sites in the Sichuan Basin in 2018 and 2019 to evaluate the infuence of DS on the pasting properties of rice,which are a proxy for the eating and cooking quality(ECQ).In DS1 and DS2,the rice had a signifcantly greater amylose content(AC)but a lower protein content(PC),peak viscosity(PKV),cool paste viscosity(CPV),and hot paste viscosity(HPV)than in CS1 and CS2.Moreover,except for CS2 and DS1 in 2018,DS1 and DS2 led to 2.15-11.19%reductions in breakdown viscosity(BDV)and 23.46-108.47%increases in setback viscosity(SBV).However,the infuence of DS on rice pasting properties varied by study site and rice variety.In 2019,DS1 and DS2 led to BDV reductions of 2.35-9.33,2.61-8.61,10.03-17.78,and 2.06-8.93%,and SBV increases of 2.32-60.93,63.74-144.24,55.46-91.63,and-8.28-65.37%at the Dayi,Anzhou,Nanbu,and Shehong(except for SBV in CS2 and DS1)sites,respectively.DS resulted in greater reductions in PKV,HPV,CPV,and BDV and greater increases in the AC and SBV for Yixiangyou 2115 than for Chuanyou 6203 and Fyou 498.The correlation analysis indicated that PKV and HPV were signifcantly and positively related to the mean,maximum,and minimum temperatures after heading.These temperatures must be greater than 25.9,31.2,and 22.3℃,respectively,to increase the relative BDV and reduce the relative SBV of rice,thereby enhancing ECQ.In conclusion,DS might contribute to a signifcant deterioration in ECQ in machine-transplanted rice in the Sichuan Basin.A mean temperature above 25.9℃ after heading is required to improve the ECQ of rice.展开更多
Several quantitative trait genes(QTGs)related to rice heading date,a key factor for crop development and yield,have been identified,along with complex interactions among genes.However,a comprehensive genetic interacti...Several quantitative trait genes(QTGs)related to rice heading date,a key factor for crop development and yield,have been identified,along with complex interactions among genes.However,a comprehensive genetic interaction network for these QTGs has not yet been established.In this study,we use 18K-rice lines to identify QTGs and their epistatic interactions affecting rice heading date.We identify 264 pairs of interacting quantitative trait loci(QTL)and construct a comprehensive genetic network of these QTL.On average,the epistatic effects of QTL pairs are estimated to be approximately 12.5%of additive effects of identified QTL.Importantly,epistasis varies among different alleles of several heading date genes.Additionally,57 pairs of interacting QTGs are also significant in their epistatic effects on 12 other agronomic traits.The identified QTL genetic interactions are further validated using near-isogenic lines,yeast two-hybrid,and split-luciferase complementation assays.Overall,this study provides a genetic network of rice heading date genes,which plays a crucial role in regulating rice heading date and influencing multiple related agronomic traits.This network serves as a foundation for understanding the genetic mechanisms of rice quantitative traits and for advancing rice molecular breeding.展开更多
This study investigates the influence of date palm fibers(DPF)on the mechanical performance of bituminous mixtures using two experimental methodologies:the wet and dry processes.In the wet process,DPFs were pre-blende...This study investigates the influence of date palm fibers(DPF)on the mechanical performance of bituminous mixtures using two experimental methodologies:the wet and dry processes.In the wet process,DPFs were pre-blended with bitumen at varying contents ranging from 1%to 5%by weight,prior to mixing with aggregates.The resulting mixtures were evaluated based on several key performance indicators,including Marshall stability,creep resistance,compactness,and water sensitivity.The inclusion of fibers generally enhanced mechanical properties,with optimal improvements observed at 2%to 4%fiber content.Notably,the mixture with 3%DPF content demonstrated a 35.7%increase in Marshall stability,while the lowest compactness reduction(−1.9%)occurred at 1%fiber addition.In the dry process,the effects of both fiber length(1 cm,3 cm,and 5 cm)and fiber content(0.1%to 0.5%)were examined,focusing specifically on rutting and creep resistance.The results showed that 3 cm fibers significantly improved rutting resistance,whereas the 0.1%fiber content yielded the highest enhancement in creep resistance.However,no clear correlation was established between the two performance metrics,suggesting that the mechanical response is highly deformation-dependent.Overall,the addition of DPF contributed to improved durability,strength,and resistance to deformation in asphalt mixtures.The findings underscore the potential of date palm fibers as a sustainable,low-cost,and environmentally friendly additive in pavement engineering,particularly in regions where palm waste is readily available and underutilized.展开更多
With the aim of adapting agricultural practices to climate warming,this study projected sowing dates for summer maize in the 2030s(2031–2040)across the Huanghuaihai Plain by analyzing key photo-thermal variables deri...With the aim of adapting agricultural practices to climate warming,this study projected sowing dates for summer maize in the 2030s(2031–2040)across the Huanghuaihai Plain by analyzing key photo-thermal variables derived from field experiments and projected future climate data under Shared Socioeconomic Pathway 2–4.5 within a restricted planting season.Results showed that growing degree days(GDD)during the active dry matter accumulation period(AP),killing degree days(KDD)during AP,and GDD during the late dry matter accumulation period(LP)explained most yield variation and were used for determining suitable sowing windows.Thresholds of them were 571°C d,21°C d and 411°C d,respectively.In the 2030s,postponing sowing dates and shifting planting regions northward resulted in gradual declines in KDD during AP and GDD during LP.The proportion of regions limited by KDD and GDD changed from 66%to 0%and from 3%to 100%when sowing dates were postponed from June 1 to July 15.Suitable sowing dates for maize were determined as follows:June 25 to July 10 in regions south of 34°N,June 5 to June 30 between 34°N and 39°N,and before June 20 in regions north of 39°N.展开更多
The precise identification of date palm tree diseases is essential for maintaining agricultural productivity and promoting sustainable farming methods.Conventional approaches rely on visual examination by experts to d...The precise identification of date palm tree diseases is essential for maintaining agricultural productivity and promoting sustainable farming methods.Conventional approaches rely on visual examination by experts to detect infected palm leaves,which is time intensive and susceptible to mistakes.This study proposes an automated leaf classification system that uses deep learning algorithms to identify and categorize diseases in date palm tree leaves with high precision and dependability.The system leverages pretrained convolutional neural network architectures(InceptionV3,DenseNet,and MobileNet)to extract and examine leaf characteristics for classification purposes.A publicly accessible dataset comprising multiple classes of diseased and healthy date palm leaf samples was used for the training and assessment.Data augmentation techniques were implemented to enhance the dataset and improve model resilience.In addition,Synthetic Minority Oversampling Technique(SMOTE)was applied to address class imbalance and further improve the classification performance.The system was trained and evaluated using this dataset,and two of the models,DenseNet and MobileNet,achieved classification accuracies greater than 95%.MobileNetV2 emerged as the top-performing model among those assessed,achieving an overall accuracy of 96.99%and macro-average F1-score of 0.97.All nine categories of date palm leaf conditions were consistently and accurately identified,showing exceptional precision and dependability.Comparative experiments were conducted to assess the performance of the Convolutional Neural Network(CNN)architectures and demonstrate their potential for scalable and automated disease detection.This system has the potential to serve as a valuable agricultural tool for assisting in disease management and monitoring date palm cultivation.展开更多
Heading date is one of the most important agronomic traits that directly affect rice yield and determines the regional adaptability in specific growing environments.As a short-day plant,rice can grow under long-day(LD...Heading date is one of the most important agronomic traits that directly affect rice yield and determines the regional adaptability in specific growing environments.As a short-day plant,rice can grow under long-day(LD)conditions due to the synergistic regulation of many photosensitive genes.Using a set of chromosome segment substitution lines(CSSLs)with the indica cultivar Huanghuazhan(HHZ)as the recipient parent and Basmati Surkh 89-15(BAS)as the donor parent,we identified a QTL locus.展开更多
文摘Date palm(Phoenix dactylifera L.)seeds,often discarded as by-products during date fruit processing,represent approximately 6-20%of the fruit’s mass depending on cultivar and maturity stage.Although traditionally used for producing activated charcoal and in environmental remediation,their pharmacological potential remains underexplored.This study aimed to evaluate the chemical composition,biological activity,and potential commercial value of seeds from four widely consumed Saharan cultivars(Assiane,Boufegouss,Aziza,and Majhoul)collected in the Figuig region.Soxhlet extraction was employed to obtain seed extracts,which were subsequently characterized by qualitative and quantitative phytochemical screening.The analyses revealed the presence of polyphenols,flavonoids,terpenoids,steroids,alkaloids,and other secondary metabolites.The Aziza and Boufegouss varieties were particularly rich in flavonoids(82.09-139.61 mg quercetin equivalents/100 g dry matter)and total polyphenols(69.81-1183.96 mg gallic acid equivalents/100 g dry matter).Mineral profiling confirmed the occurrence of essential trace elements,including Zn,Cu,Fe,and Co.To investigate their antidiabetic potential,in vitro assays ofα-glucosidase andα-amylase inhibition were performed.Acetone extracts demonstrated significant inhibitory activity against both enzymes,suggesting a promising role of P.dactylifera seed extracts as natural agents for the management of type 2 diabetes mellitus.
基金supported by the Deanship of Scientific Research,Vice Presidency for Graduate Studies and Scientific Research,King Faisal University,Saudi Arabia,Grant No.KFU250098.
文摘In this study,an automated multimodal system for detecting,classifying,and dating fruit was developed using a two-stage YOLOv11 pipeline.In the first stage,the YOLOv11 detection model locates individual date fruits in real time by drawing bounding boxes around them.These bounding boxes are subsequently passed to a YOLOv11 classification model,which analyzes cropped images and assigns class labels.An additional counting module automatically tallies the detected fruits,offering a near-instantaneous estimation of quantity.The experimental results suggest high precision and recall for detection,high classification accuracy(across 15 classes),and near-perfect counting in real time.This paper presents a multi-stage pipeline for date fruit detection,classification,and automated counting,employing YOLOv11-based models to achieve high accuracy while maintaining real-time throughput.The results demonstrated that the detection precision exceeded 90%,the classification accuracy approached 92%,and the counting module correlated closely with the manual tallies.These findings confirm the potential of reducing manual labour and enhancing operational efficiency in post-harvesting processes.Future studies will include dataset expansion,user-centric interfaces,and integration with harvesting robotics.
文摘The ideology of being ready to make innovation and keeping abreast of the times is a defining feature of the Chinese civilization.IN several of his recent speeches President Xi Jinping stressed that the Chinese civilization has the tradition of discarding the outdated in favor of the new and moving ahead with the times.In exploring a new philosophy that is suitable for governing China in the new era,China draws on its fine traditional culture to find ways of abolishing outdated ideas and making theoretical,practical,and institutional innovations,thus staying abreast of the time to create a better future.
基金supported by the National Key Research and Development Program of China(2022YFD190160304)the Key Program of Natural Science Foundation of Sichuan Province,China(2022NSFSC0013)+1 种基金the Sichuan Maize Innovation Team Construction Project,China(SCCXTD-2023-02)the National Science and Technology Support Projects,China(2015BAC05B05)。
文摘Optimizing sowing dates(SDs)represents a viable strategy for adapting maize production to climate change and enhancing yield.However,research remains limited regarding the integrated effects of lodging and yield in relation to climatic variables across different SDs.This study examines the patterns and distribution of key climatic variables during maize growth seasons,their influence on yield and lodging,and the critical factors affecting lodging at crucial growth stages under various SD scenarios.The research evaluated climate change impacts on yield and lodging through field experiments spanning 5 years(2015,2016,2019-2021),incorporating 25 SDs in the Sichuan Basin,China.Results indicated that lodging rate significantly affected the coefficient of variation(CV,3.31-10.50%)of maize yield.Each 1%increase in lodging rate resulted in a yield reduction of 58.05 kg ha^(-1).SD modifications notably influenced solar radiation(Sr)from emergence to silking(E-R1).The study determined that Sr accounted for 34.7%of lodging rate variation in E-R1.Analysis of historical meteorological data revealed significant inter-annual Sr variations,showing a decline of-8.7763 MJ m^(-2)yr^(-1)from 1990 to 2021,particularly evident from late May to early July.Variation partitioning analysis(VPA)demonstrated that climatic variables during emergence to physiological maturity(E-R6)and E-R1 explained 43.9 and 53.2%of yield variation across SDs,respectively,while contributing 56.0 and 45.4%to lodging.Random forest(RF)analysis established that SD changes primarily influenced lodging rates through modifications in basal internode morphology,explaining 69.79%of the variation.The research identified optimal sowing dates between late March and mid-April for achieving consistent high yields,attributed to increased Sr during E-R1.This study provides critical insights into climate change effects on stalk lodging and offers practical guidance for SD adjustment to reduce maize lodging rates.
基金supported by the National Natural Science Foundation of China(U20A2022 and 32372217)the National Key Research and Development Program of China(2022YFD2300700)the Free Exploration Program of State Key Laboratory of Crop Gene Exploration and Utilization in Sichuan Basin,China(SKL-ZY202216)。
文摘Adjustment of the sowing date is a widely used measure in rice production for adapting to high-temperature conditions.However,the impact of a delayed sowing date(DS)on rice quality may vary by variety and ecological conditions.In this study,we conducted experiments using four different sowing dates,the conventional sowing date 1(CS1),CS2(10 d later than CS1),DS1(30 d later than CS1),and DS2(30 d later than CS2),and three rice varieties,i.e.,Yixiangyou 2115,Fyou 498,and Chuanyou 6203.This experiment was conducted at four sites in the Sichuan Basin in 2018 and 2019 to evaluate the infuence of DS on the pasting properties of rice,which are a proxy for the eating and cooking quality(ECQ).In DS1 and DS2,the rice had a signifcantly greater amylose content(AC)but a lower protein content(PC),peak viscosity(PKV),cool paste viscosity(CPV),and hot paste viscosity(HPV)than in CS1 and CS2.Moreover,except for CS2 and DS1 in 2018,DS1 and DS2 led to 2.15-11.19%reductions in breakdown viscosity(BDV)and 23.46-108.47%increases in setback viscosity(SBV).However,the infuence of DS on rice pasting properties varied by study site and rice variety.In 2019,DS1 and DS2 led to BDV reductions of 2.35-9.33,2.61-8.61,10.03-17.78,and 2.06-8.93%,and SBV increases of 2.32-60.93,63.74-144.24,55.46-91.63,and-8.28-65.37%at the Dayi,Anzhou,Nanbu,and Shehong(except for SBV in CS2 and DS1)sites,respectively.DS resulted in greater reductions in PKV,HPV,CPV,and BDV and greater increases in the AC and SBV for Yixiangyou 2115 than for Chuanyou 6203 and Fyou 498.The correlation analysis indicated that PKV and HPV were signifcantly and positively related to the mean,maximum,and minimum temperatures after heading.These temperatures must be greater than 25.9,31.2,and 22.3℃,respectively,to increase the relative BDV and reduce the relative SBV of rice,thereby enhancing ECQ.In conclusion,DS might contribute to a signifcant deterioration in ECQ in machine-transplanted rice in the Sichuan Basin.A mean temperature above 25.9℃ after heading is required to improve the ECQ of rice.
基金supported by the National Natural Science Foundation of China(32222064 and 32341030)the Natural Science Foundation of Shanghai(22ZR1445800)Zhejiang Provincial Natural Science Foundation of China(LQ24C130008).
文摘Several quantitative trait genes(QTGs)related to rice heading date,a key factor for crop development and yield,have been identified,along with complex interactions among genes.However,a comprehensive genetic interaction network for these QTGs has not yet been established.In this study,we use 18K-rice lines to identify QTGs and their epistatic interactions affecting rice heading date.We identify 264 pairs of interacting quantitative trait loci(QTL)and construct a comprehensive genetic network of these QTL.On average,the epistatic effects of QTL pairs are estimated to be approximately 12.5%of additive effects of identified QTL.Importantly,epistasis varies among different alleles of several heading date genes.Additionally,57 pairs of interacting QTGs are also significant in their epistatic effects on 12 other agronomic traits.The identified QTL genetic interactions are further validated using near-isogenic lines,yeast two-hybrid,and split-luciferase complementation assays.Overall,this study provides a genetic network of rice heading date genes,which plays a crucial role in regulating rice heading date and influencing multiple related agronomic traits.This network serves as a foundation for understanding the genetic mechanisms of rice quantitative traits and for advancing rice molecular breeding.
文摘This study investigates the influence of date palm fibers(DPF)on the mechanical performance of bituminous mixtures using two experimental methodologies:the wet and dry processes.In the wet process,DPFs were pre-blended with bitumen at varying contents ranging from 1%to 5%by weight,prior to mixing with aggregates.The resulting mixtures were evaluated based on several key performance indicators,including Marshall stability,creep resistance,compactness,and water sensitivity.The inclusion of fibers generally enhanced mechanical properties,with optimal improvements observed at 2%to 4%fiber content.Notably,the mixture with 3%DPF content demonstrated a 35.7%increase in Marshall stability,while the lowest compactness reduction(−1.9%)occurred at 1%fiber addition.In the dry process,the effects of both fiber length(1 cm,3 cm,and 5 cm)and fiber content(0.1%to 0.5%)were examined,focusing specifically on rutting and creep resistance.The results showed that 3 cm fibers significantly improved rutting resistance,whereas the 0.1%fiber content yielded the highest enhancement in creep resistance.However,no clear correlation was established between the two performance metrics,suggesting that the mechanical response is highly deformation-dependent.Overall,the addition of DPF contributed to improved durability,strength,and resistance to deformation in asphalt mixtures.The findings underscore the potential of date palm fibers as a sustainable,low-cost,and environmentally friendly additive in pavement engineering,particularly in regions where palm waste is readily available and underutilized.
基金supported by National Natural Science Foundation of China(32172115)National Modern Agriculture Industry Technology System(CARS-02-21).
文摘With the aim of adapting agricultural practices to climate warming,this study projected sowing dates for summer maize in the 2030s(2031–2040)across the Huanghuaihai Plain by analyzing key photo-thermal variables derived from field experiments and projected future climate data under Shared Socioeconomic Pathway 2–4.5 within a restricted planting season.Results showed that growing degree days(GDD)during the active dry matter accumulation period(AP),killing degree days(KDD)during AP,and GDD during the late dry matter accumulation period(LP)explained most yield variation and were used for determining suitable sowing windows.Thresholds of them were 571°C d,21°C d and 411°C d,respectively.In the 2030s,postponing sowing dates and shifting planting regions northward resulted in gradual declines in KDD during AP and GDD during LP.The proportion of regions limited by KDD and GDD changed from 66%to 0%and from 3%to 100%when sowing dates were postponed from June 1 to July 15.Suitable sowing dates for maize were determined as follows:June 25 to July 10 in regions south of 34°N,June 5 to June 30 between 34°N and 39°N,and before June 20 in regions north of 39°N.
基金funded by the Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R821),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
文摘The precise identification of date palm tree diseases is essential for maintaining agricultural productivity and promoting sustainable farming methods.Conventional approaches rely on visual examination by experts to detect infected palm leaves,which is time intensive and susceptible to mistakes.This study proposes an automated leaf classification system that uses deep learning algorithms to identify and categorize diseases in date palm tree leaves with high precision and dependability.The system leverages pretrained convolutional neural network architectures(InceptionV3,DenseNet,and MobileNet)to extract and examine leaf characteristics for classification purposes.A publicly accessible dataset comprising multiple classes of diseased and healthy date palm leaf samples was used for the training and assessment.Data augmentation techniques were implemented to enhance the dataset and improve model resilience.In addition,Synthetic Minority Oversampling Technique(SMOTE)was applied to address class imbalance and further improve the classification performance.The system was trained and evaluated using this dataset,and two of the models,DenseNet and MobileNet,achieved classification accuracies greater than 95%.MobileNetV2 emerged as the top-performing model among those assessed,achieving an overall accuracy of 96.99%and macro-average F1-score of 0.97.All nine categories of date palm leaf conditions were consistently and accurately identified,showing exceptional precision and dependability.Comparative experiments were conducted to assess the performance of the Convolutional Neural Network(CNN)architectures and demonstrate their potential for scalable and automated disease detection.This system has the potential to serve as a valuable agricultural tool for assisting in disease management and monitoring date palm cultivation.
基金supported by the Zhejiang Provincial Natural Science Foundation of China(Grant Nos.LZ24C130004 and LQ24C130008)。
文摘Heading date is one of the most important agronomic traits that directly affect rice yield and determines the regional adaptability in specific growing environments.As a short-day plant,rice can grow under long-day(LD)conditions due to the synergistic regulation of many photosensitive genes.Using a set of chromosome segment substitution lines(CSSLs)with the indica cultivar Huanghuazhan(HHZ)as the recipient parent and Basmati Surkh 89-15(BAS)as the donor parent,we identified a QTL locus.
