This experiment used pumpkin Longyuanlixiang as material to research the effect of different pruning ways with one branch, two branches, and three branches on the sugar-decreasing matters during the ripeness of pumpk...This experiment used pumpkin Longyuanlixiang as material to research the effect of different pruning ways with one branch, two branches, and three branches on the sugar-decreasing matters during the ripeness of pumpkin （Cucurbita moschata） fruits. The results showed that pectin contents of pumpkin fruits during the ripeness all increased at first and then dropped in every treatment. The pectin contents under the treatments of one branch and two branches reached the high apex after pollinated for 30 d as well as for 35 d under the treatment of three branches. Pentose and chromium contents of fruits had the same trend under different pruning ways and increased during the ripenes. Three kinds of sugar-decreasing matters contents under treatment of two branches were bigger than treatment of one branch, while treatment of three branches was the lowest.展开更多
The picked pear is often ripened naturally or artificially in ethylene solution to put the pear into market earlier.When Qiuxiang pear are ripened,a great deal of ethylene is produced,the content of soluble solid,tota...The picked pear is often ripened naturally or artificially in ethylene solution to put the pear into market earlier.When Qiuxiang pear are ripened,a great deal of ethylene is produced,the content of soluble solid,total sugar and titrable acidity are increased.The flesh is softened,the skin of fruit turns yellow,and the fruits are of aromatic favor.At different harvest time,respiration intensity appears different changing trends;the fruit qualities and the storage period are influenced too.Artificial ripening promotes fruit ripe and has a better effect than natural ripening.And Qiuxiang pear ripened artificially in earlier the middle or late of August can achieve better fruit qualities and higher economic value.展开更多
With F1 individuals of the cross combination 88-110 of 83-4-96 ( V. quinquangularis Rehd.) X Muscat Rose ( V. vinifera L.), the RAPD marker OPC15-1300 linked to ripe rot ( Gloeosporium fructi-genum Berk.) resistance g...With F1 individuals of the cross combination 88-110 of 83-4-96 ( V. quinquangularis Rehd.) X Muscat Rose ( V. vinifera L.), the RAPD marker OPC15-1300 linked to ripe rot ( Gloeosporium fructi-genum Berk.) resistance genes in Chinese wild Vitis was gained using bulked segregation analysis (BS A). And it was found that OPC15-1300 could be hereditary from the resistant parent (83-4-96) after the marker was tested in 50 Fj plants of the cross combination 88-110, 32 accessions of 8 Chinese wild Vitis species and 14 cultivars of V. vinifera L. Also, it has provided a solid basis for molecular marker-assisted selection (MAS) and for possibly cloning disease resistance genes in the future.展开更多
Plantain (</span><span style="font-family:Verdana;"><i></span><i><span style="font-family:Verdana;">Musa spp</span></i><i><span style="...Plantain (</span><span style="font-family:Verdana;"><i></span><i><span style="font-family:Verdana;">Musa spp</span></i><i><span style="font-family:Verdana;"></i></span></i><span style="font-family:Verdana;">.) constitute</span><span style="font-family:Verdana;">s</span><span style="font-family:""><span style="font-family:Verdana;"> an essential food crop in both tropical and subtropical areas. The staple’s nutritional value and provitamin A carotenoid potential has attracted more interest and usage. </span><a name="_Hlk56239143"></a><span style="font-family:Verdana;">Plantain (</span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><i></span></span><span style="font-family:Verdana;"><i><span style="font-family:Verdana;">Musa spp</span></i></span><span style="font-family:Verdana;"><i><span style="font-family:Verdana;"></i></span></i></span><span style="font-family:Verdana;"><span style="font-family:Verdana;">.) optimization into food recipes has been identified to increase patronage and minimises food wastage, due to the fruit’s (pulp) high perishability nature. In this study, local over ripe plantain (</span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><i></span></span><span style="font-family:Verdana;"><i><span style="font-family:Verdana;">Musa spp</span></i></span><span style="font-family:Verdana;"><i><span style="font-family:Verdana;"></i></span></i></span><span style="font-family:Verdana;"><span style="font-family:Verdana;">.) was sampled and used in a beverage production. The beverage was processed from pureed ripe plantain, by three days fermentation of the pureed plantain mixture, boiling, and spicing, preservation with syrup, storage, and usage. The product’s processing was followed with a sensory evaluation of the new beverage on taste, appearance, color, flavour, and overall acceptability. Majority of the respondents indicated the new product was good and was well accepted. T</span></span><span style="font-family:Verdana;">he research sought to create food diversity, encourage more usage of the crop and to highlight the nutritional values of plantain (</span><span style="font-family:Verdana;"><i></span><i><span style="font-family:Verdana;">Musa spp</span></i><i><span style="font-family:Verdana;"></i></span></i><span style="font-family:Verdana;">.) which is particularly high in provitamin A carotenoid to address Vitamin A deficiency in low resource setting communities.展开更多
Remaining true to our original aspiration, PetroChina Research Institute of Petroleum Exploration and Development (RIPED) has been forging ahead, going through a glorious development course of 60 years.Here, let s ext...Remaining true to our original aspiration, PetroChina Research Institute of Petroleum Exploration and Development (RIPED) has been forging ahead, going through a glorious development course of 60 years.Here, let s extend our warmest congratulations.Over the past six decades, generations of petroleum science and technology workers from the展开更多
[ Objective] This study aimed to analyze the quality characteristics of the new middle-ripejapon/ca rico varieties in Jiangsu Province. [ Method] Four- teen new rice varieties included in the Middle-ripe Japon/ca Rice...[ Objective] This study aimed to analyze the quality characteristics of the new middle-ripejapon/ca rico varieties in Jiangsu Province. [ Method] Four- teen new rice varieties included in the Middle-ripe Japon/ca Rice Regional Test in 2011 were selected as the materials. Correlation analysis and cluster analysis were carried out on their quality traits. [Result] The rice cultivars possessed stable characteristics, which were difficult to be further improved. In addition, their quality traits had extremely complicated relationships, and the differences were significant between different groups. [ Conclusion] This study will provide reference for improving the quality traits of japonica rice.展开更多
Remaining true to our original aspiration, PetroChina Research Institute of Petroleum Exploration and Development (RIPED) has been forging ahead, going through a glorious development course of 60 years.Here, let s ext...Remaining true to our original aspiration, PetroChina Research Institute of Petroleum Exploration and Development (RIPED) has been forging ahead, going through a glorious development course of 60 years.Here, let s extend, our warmest congratulations.展开更多
On March 15, the general geologist of PetroChina and the dean of ResearchInstitute Petroleum Exploration and Development, CNPC (RIPED), Mr. Jia Chengzao, and the scientificand development principals in the aspects of ...On March 15, the general geologist of PetroChina and the dean of ResearchInstitute Petroleum Exploration and Development, CNPC (RIPED), Mr. Jia Chengzao, and the scientificand development principals in the aspects of exploration and development, refining & marketing,natural gas & pipelines and from RIPED met 8 specialists leading by Mr. Olivier Appert, the dean ofInstitut Francais du Petrole (IFP). The two sides exchanged ideas broadly on the research topicsthat both parties were interested in commonly and signed a memorandum of understanding for buildinga long-term cooperative partnership between RIPED and IFP.展开更多
SOUTH Africa is serious about encouraging further Chinese investment, especially in key areas like the beneficiation of mineral resources, improving indus trial capacity, enhancing agroprocessing and energy, said the ...SOUTH Africa is serious about encouraging further Chinese investment, especially in key areas like the beneficiation of mineral resources, improving indus trial capacity, enhancing agroprocessing and energy, said the country＇s President Jacob Zuma, He made the remarks on December 5 at the South AfricaChina Busi ness Forum in Beijing. during his state visit. A platform for Chinese and South African businesses to discuss cooperation in sectors like finance, energy,展开更多
INFRASTRUCTURE plays a central role in improving competitiveness, facilitating domestic and international trade, and enhancing the African conti- nent＇s integration into the global economy, accord- ing to Gratitude B...INFRASTRUCTURE plays a central role in improving competitiveness, facilitating domestic and international trade, and enhancing the African conti- nent＇s integration into the global economy, accord- ing to Gratitude Bulelani Magwanishe, South Africa＇s Deputy Minister of Public Enterprises. Magwanishe was speaking at the Opportunities for Investment Cooperation in South Africa forum on October 30, part of the 2013 COIFAIR - the World＇s Investment Summit.展开更多
Genetic Algorithm Neural Network(GANN)for multi-class was used to predict the ripeness grades of oil palm fresh fruit using Near Infrared(NIR)spectral data.NIR spectral data provide sufficient information about compou...Genetic Algorithm Neural Network(GANN)for multi-class was used to predict the ripeness grades of oil palm fresh fruit using Near Infrared(NIR)spectral data.NIR spectral data provide sufficient information about compound structure of samples from the near infrared light that passes through.The variables used in the GANN modeling process were the new variables obtained as a result of dimensional reduction from original NIR spectral data using Principal Component Analysis(PCA).Three statistical measures such asMean Absolute Error(MAE),Root Mean Squared Error(RMSE)and the percentage(%)of good classification were used to assess adequacy of the GANN model.Based on the results,the GANN model created was precise enough to be used as the model calibration for this multi-class problem.展开更多
Fruit is a key crop in worldwide agriculture feeding millions of people.The standard supply chain of fruit products involves quality checks to guarantee freshness,taste,and,most of all,safety.An important factor that ...Fruit is a key crop in worldwide agriculture feeding millions of people.The standard supply chain of fruit products involves quality checks to guarantee freshness,taste,and,most of all,safety.An important factor that determines fruit quality is its stage of ripening.This is usually manually classified by field experts,making it a labor-intensive and error-prone process.Thus,there is an arising need for automation in fruit ripeness classification.Many automatic methods have been proposed that employ a variety of feature descriptors for the food item to be graded.Machine learning and deep learning techniques dominate the top-performing methods.Furthermore,deep learning can operate on raw data and thus relieve the users from having to compute complex engineered features,which are often crop-specific.In this survey,we review the latest methods proposed in the literature to automatize fruit ripeness classification,highlighting the most common feature descriptors they operate on.展开更多
In order to address the challenge of non-destructive detection of tomato fruit ripeness in controlled environments,this study proposed a real-time instance segmentation method based on the edge device.This method comb...In order to address the challenge of non-destructive detection of tomato fruit ripeness in controlled environments,this study proposed a real-time instance segmentation method based on the edge device.This method combined the principles of phenotype robots and machine vision based on deep learning.A compact and remotely controllable phenotype detection robot was employed to acquire precise data on tomato ripeness.The video data were then processed by using an efficient backbone and the FeatFlowNet structure for feature extraction and analysis of key-frame to non-key-frame mapping from video data.To enhance the diversity of training datasets and the generalization of the model,an innovative approach was chosen by using random enhancement techniques.Besides,the PolyLoss optimization technique was applied to further improve the accuracy of the ripeness multi-class detection tasks.Through validation,the method of this study achieved real-time processing speeds of 90.1 fps(RTX 3070Ti)and 65.5 fps(RTX 2060 S),with an average detection accuracy of 97%compared to manually measured results.This is more accurate and efficient than other instance segmentation models according to actual testing in a greenhouse.Therefore,the results of this research can be deployed in edge devices and provide technical support for unmanned greenhouse monitoring devices or fruit-picking robots in facility environments.展开更多
Strawberry is one of the popular fruits with numerous nutrients.The ripeness of this fruits was estimated using the hyperspectral imaging(HSI)system in field and laboratory conditions in this study.Strawberry at early...Strawberry is one of the popular fruits with numerous nutrients.The ripeness of this fruits was estimated using the hyperspectral imaging(HSI)system in field and laboratory conditions in this study.Strawberry at early ripe and ripe stageswere collected HSI data,coveredwavelength ranges from370 to 1015 nm.Spectral featurewavelengths were selected using the sequential feature selection(SFS)algorithm.Two wavelengths selected for field(530 and 604 nm)and laboratory(528 and 715 nm)samples,respectively.Then,reliability of such spectral featureswas validated based on support vectormachine(SVM)classifier.Performance of SVMclassification models had good resultswith receiver operating characteristic values for samples under both field and laboratory conditions higher than 0.95.Meanwhile,the spatial feature images were extracted from the spectral feature wavelength and the first three principal components for laboratory samples.Pretrained AlexNet convolutional neural network(CNN)was used to classify the early ripe and ripe strawberry samples,which obtained the accuracy of 98.6%for test dataset.The above results indicated real-time HSI system was promising for estimating strawberry ripeness under field and laboratory conditions,which could be a potential application technique for evaluating the harvesting time management for farmers and producers.展开更多
基金Supported by Heilongjiang Province Natural Science Foundation (C2004-24)
文摘This experiment used pumpkin Longyuanlixiang as material to research the effect of different pruning ways with one branch, two branches, and three branches on the sugar-decreasing matters during the ripeness of pumpkin （Cucurbita moschata） fruits. The results showed that pectin contents of pumpkin fruits during the ripeness all increased at first and then dropped in every treatment. The pectin contents under the treatments of one branch and two branches reached the high apex after pollinated for 30 d as well as for 35 d under the treatment of three branches. Pentose and chromium contents of fruits had the same trend under different pruning ways and increased during the ripenes. Three kinds of sugar-decreasing matters contents under treatment of two branches were bigger than treatment of one branch, while treatment of three branches was the lowest.
文摘The picked pear is often ripened naturally or artificially in ethylene solution to put the pear into market earlier.When Qiuxiang pear are ripened,a great deal of ethylene is produced,the content of soluble solid,total sugar and titrable acidity are increased.The flesh is softened,the skin of fruit turns yellow,and the fruits are of aromatic favor.At different harvest time,respiration intensity appears different changing trends;the fruit qualities and the storage period are influenced too.Artificial ripening promotes fruit ripe and has a better effect than natural ripening.And Qiuxiang pear ripened artificially in earlier the middle or late of August can achieve better fruit qualities and higher economic value.
文摘With F1 individuals of the cross combination 88-110 of 83-4-96 ( V. quinquangularis Rehd.) X Muscat Rose ( V. vinifera L.), the RAPD marker OPC15-1300 linked to ripe rot ( Gloeosporium fructi-genum Berk.) resistance genes in Chinese wild Vitis was gained using bulked segregation analysis (BS A). And it was found that OPC15-1300 could be hereditary from the resistant parent (83-4-96) after the marker was tested in 50 Fj plants of the cross combination 88-110, 32 accessions of 8 Chinese wild Vitis species and 14 cultivars of V. vinifera L. Also, it has provided a solid basis for molecular marker-assisted selection (MAS) and for possibly cloning disease resistance genes in the future.
文摘Plantain (</span><span style="font-family:Verdana;"><i></span><i><span style="font-family:Verdana;">Musa spp</span></i><i><span style="font-family:Verdana;"></i></span></i><span style="font-family:Verdana;">.) constitute</span><span style="font-family:Verdana;">s</span><span style="font-family:""><span style="font-family:Verdana;"> an essential food crop in both tropical and subtropical areas. The staple’s nutritional value and provitamin A carotenoid potential has attracted more interest and usage. </span><a name="_Hlk56239143"></a><span style="font-family:Verdana;">Plantain (</span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><i></span></span><span style="font-family:Verdana;"><i><span style="font-family:Verdana;">Musa spp</span></i></span><span style="font-family:Verdana;"><i><span style="font-family:Verdana;"></i></span></i></span><span style="font-family:Verdana;"><span style="font-family:Verdana;">.) optimization into food recipes has been identified to increase patronage and minimises food wastage, due to the fruit’s (pulp) high perishability nature. In this study, local over ripe plantain (</span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><i></span></span><span style="font-family:Verdana;"><i><span style="font-family:Verdana;">Musa spp</span></i></span><span style="font-family:Verdana;"><i><span style="font-family:Verdana;"></i></span></i></span><span style="font-family:Verdana;"><span style="font-family:Verdana;">.) was sampled and used in a beverage production. The beverage was processed from pureed ripe plantain, by three days fermentation of the pureed plantain mixture, boiling, and spicing, preservation with syrup, storage, and usage. The product’s processing was followed with a sensory evaluation of the new beverage on taste, appearance, color, flavour, and overall acceptability. Majority of the respondents indicated the new product was good and was well accepted. T</span></span><span style="font-family:Verdana;">he research sought to create food diversity, encourage more usage of the crop and to highlight the nutritional values of plantain (</span><span style="font-family:Verdana;"><i></span><i><span style="font-family:Verdana;">Musa spp</span></i><i><span style="font-family:Verdana;"></i></span></i><span style="font-family:Verdana;">.) which is particularly high in provitamin A carotenoid to address Vitamin A deficiency in low resource setting communities.
文摘Remaining true to our original aspiration, PetroChina Research Institute of Petroleum Exploration and Development (RIPED) has been forging ahead, going through a glorious development course of 60 years.Here, let s extend our warmest congratulations.Over the past six decades, generations of petroleum science and technology workers from the
基金Supported by the Project for Science and Technology Transformation in Jiangsu Province(BA2008083)
文摘[ Objective] This study aimed to analyze the quality characteristics of the new middle-ripejapon/ca rico varieties in Jiangsu Province. [ Method] Four- teen new rice varieties included in the Middle-ripe Japon/ca Rice Regional Test in 2011 were selected as the materials. Correlation analysis and cluster analysis were carried out on their quality traits. [Result] The rice cultivars possessed stable characteristics, which were difficult to be further improved. In addition, their quality traits had extremely complicated relationships, and the differences were significant between different groups. [ Conclusion] This study will provide reference for improving the quality traits of japonica rice.
文摘Remaining true to our original aspiration, PetroChina Research Institute of Petroleum Exploration and Development (RIPED) has been forging ahead, going through a glorious development course of 60 years.Here, let s extend, our warmest congratulations.
文摘On March 15, the general geologist of PetroChina and the dean of ResearchInstitute Petroleum Exploration and Development, CNPC (RIPED), Mr. Jia Chengzao, and the scientificand development principals in the aspects of exploration and development, refining & marketing,natural gas & pipelines and from RIPED met 8 specialists leading by Mr. Olivier Appert, the dean ofInstitut Francais du Petrole (IFP). The two sides exchanged ideas broadly on the research topicsthat both parties were interested in commonly and signed a memorandum of understanding for buildinga long-term cooperative partnership between RIPED and IFP.
文摘SOUTH Africa is serious about encouraging further Chinese investment, especially in key areas like the beneficiation of mineral resources, improving indus trial capacity, enhancing agroprocessing and energy, said the country＇s President Jacob Zuma, He made the remarks on December 5 at the South AfricaChina Busi ness Forum in Beijing. during his state visit. A platform for Chinese and South African businesses to discuss cooperation in sectors like finance, energy,
文摘INFRASTRUCTURE plays a central role in improving competitiveness, facilitating domestic and international trade, and enhancing the African conti- nent＇s integration into the global economy, accord- ing to Gratitude Bulelani Magwanishe, South Africa＇s Deputy Minister of Public Enterprises. Magwanishe was speaking at the Opportunities for Investment Cooperation in South Africa forum on October 30, part of the 2013 COIFAIR - the World＇s Investment Summit.
文摘Genetic Algorithm Neural Network(GANN)for multi-class was used to predict the ripeness grades of oil palm fresh fruit using Near Infrared(NIR)spectral data.NIR spectral data provide sufficient information about compound structure of samples from the near infrared light that passes through.The variables used in the GANN modeling process were the new variables obtained as a result of dimensional reduction from original NIR spectral data using Principal Component Analysis(PCA).Three statistical measures such asMean Absolute Error(MAE),Root Mean Squared Error(RMSE)and the percentage(%)of good classification were used to assess adequacy of the GANN model.Based on the results,the GANN model created was precise enough to be used as the model calibration for this multi-class problem.
文摘Fruit is a key crop in worldwide agriculture feeding millions of people.The standard supply chain of fruit products involves quality checks to guarantee freshness,taste,and,most of all,safety.An important factor that determines fruit quality is its stage of ripening.This is usually manually classified by field experts,making it a labor-intensive and error-prone process.Thus,there is an arising need for automation in fruit ripeness classification.Many automatic methods have been proposed that employ a variety of feature descriptors for the food item to be graded.Machine learning and deep learning techniques dominate the top-performing methods.Furthermore,deep learning can operate on raw data and thus relieve the users from having to compute complex engineered features,which are often crop-specific.In this survey,we review the latest methods proposed in the literature to automatize fruit ripeness classification,highlighting the most common feature descriptors they operate on.
基金funded by the National Key R&D Program(Grant No.2022YFD2002305)Beijing Nova Program(Grant No.Z211100002121065,20220484202)Collaborative Innovation Center of Beijing Academy of Agricultural and Forestry Sciences(Grant No.KJCX201917).
文摘In order to address the challenge of non-destructive detection of tomato fruit ripeness in controlled environments,this study proposed a real-time instance segmentation method based on the edge device.This method combined the principles of phenotype robots and machine vision based on deep learning.A compact and remotely controllable phenotype detection robot was employed to acquire precise data on tomato ripeness.The video data were then processed by using an efficient backbone and the FeatFlowNet structure for feature extraction and analysis of key-frame to non-key-frame mapping from video data.To enhance the diversity of training datasets and the generalization of the model,an innovative approach was chosen by using random enhancement techniques.Besides,the PolyLoss optimization technique was applied to further improve the accuracy of the ripeness multi-class detection tasks.Through validation,the method of this study achieved real-time processing speeds of 90.1 fps(RTX 3070Ti)and 65.5 fps(RTX 2060 S),with an average detection accuracy of 97%compared to manually measured results.This is more accurate and efficient than other instance segmentation models according to actual testing in a greenhouse.Therefore,the results of this research can be deployed in edge devices and provide technical support for unmanned greenhouse monitoring devices or fruit-picking robots in facility environments.
基金This researchwas supported by National Natural Science Foundation of China(Nos.31701325,31671632)This work was also funded by China Scholarship Council(No.201709135004)Post-doctor Fund of Jiangsu Province.
文摘Strawberry is one of the popular fruits with numerous nutrients.The ripeness of this fruits was estimated using the hyperspectral imaging(HSI)system in field and laboratory conditions in this study.Strawberry at early ripe and ripe stageswere collected HSI data,coveredwavelength ranges from370 to 1015 nm.Spectral featurewavelengths were selected using the sequential feature selection(SFS)algorithm.Two wavelengths selected for field(530 and 604 nm)and laboratory(528 and 715 nm)samples,respectively.Then,reliability of such spectral featureswas validated based on support vectormachine(SVM)classifier.Performance of SVMclassification models had good resultswith receiver operating characteristic values for samples under both field and laboratory conditions higher than 0.95.Meanwhile,the spatial feature images were extracted from the spectral feature wavelength and the first three principal components for laboratory samples.Pretrained AlexNet convolutional neural network(CNN)was used to classify the early ripe and ripe strawberry samples,which obtained the accuracy of 98.6%for test dataset.The above results indicated real-time HSI system was promising for estimating strawberry ripeness under field and laboratory conditions,which could be a potential application technique for evaluating the harvesting time management for farmers and producers.
