RICE_LEAF

作品数：35被引量：132H指数：7
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相关作者：李晓利刘明博楼佳唐延林更多>>
相关机构：贵州大学南京农业大学更多>>
相关期刊：《Molecular Plant》《Journal of Agricultural Science and Technology(A)》《Plant Diseases and Pests》《Journal of Computer and Communications》更多>>
相关基金：国家自然科学基金国家高技术研究发展计划广东省自然科学基金国家重点基础研究发展计划更多>>
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DeepRice: A deep learning and deep feature based classification of Rice leaf disease subtypes
《Artificial Intelligence in Agriculture》2024年第1期34-49,共16页P.Isaac Ritharson Kumudha Raimond X.Anitha Mary Jennifer Eunice Robert Andrew J 
Rice stands as a crucial staple food globally,with its enduring sustainability hinging on the prompt detection of rice leaf diseases.Hence,efficiently detecting diseases when they have already occurred holds paramount...
关键词：Rice leaf disease Deep learning CNN Crop yield AGRICULTURE Food security 
Optimised hybrid classification approach for rice leaf disease prediction with proposed texture features
《Journal of Control and Decision》2024年第1期84-97,共14页Sakhamuri Sridevi K.Kiran Kumar 
This paper aims to frame a new rice disease prediction model that included three major phases.Initially,median filtering(MF)is deployed during pre-processing and then‘proposed Fuzzy Means Clustering(FCM)based segment...
关键词：Rice disease improved fuzzy hybrid classifiers optimised LSTM IW-SSO algorithm 
Identification of Rice Leaf Disease Using Improved ShuffleNet V2被引量：3
《Computers, Materials & Continua》2023年第5期4501-4517,共17页Yang Zhou Chunjiao Fu Yuting Zhai Jian Li Ziqi Jin Yanlei Xu 
This work is supported in part by the Ji Lin provincial science and technology department international science and technology cooperation project under Grant 20200801014GH;the Changchun City Science and Technology Bureau key science and technology research projects under Grant 21ZGN28.
Accurate identification of rice diseases is crucial for controlling diseases and improving rice yield.To improve the classification accuracy of rice diseases,this paper proposed a classification and identification met...
关键词：Deep learning convolution neural network rice diseases lightweight network 
Lightweight Multi-scale Convolutional Neural Network for Rice Leaf Disease Recognition被引量：1
《Computers, Materials & Continua》2023年第1期983-994,共12页Chang Zhang Ruiwen Ni Ye Mu Yu Sun Thobela Louis Tyasi 
supported by National key research and development program sub-topics[2018YFF0213606-03(Mu Y.,Hu T.L.,Gong H.,Li S.J.and Sun Y.H.)http://www.most.gov.cn];Jilin Province Science and Technology Development Plan focuses on research and development projects[20200402006NC(Mu Y.,Hu T.L.,Gong H.and Li S.J.)http://kjt.jl.gov.cn];Science and technology support project for key industries in southern Xinjiang[2018DB001(Gong H.,and Li S.J.)http://kjj.xjbt.gov.cn];Key technology R&D project of Changchun Science and Technology Bureau of Jilin Province[21ZGN29(Mu Y.,Bao H.P.,Wang X.B.)http://kjj.changchun.gov.cn].
In the field of agricultural information,the identification and prediction of rice leaf disease have always been the focus of research,and deep learning(DL)technology is currently a hot research topic in the field of ...
关键词：Rice leaf diseases deep learning lightweight convolution neural networks VGG 
Different developments of rice leaf and their response to nitrogen
《Technology in Agronomy》2022年第1期9-17,共9页Cambula D.Elidio Chao Ding Xuhui Zhu Gang Hua Li 
funded by the National Key Research and Development Program of China(2017YFD0300100,2017YFD0301204,and 2018YFD0300803);Jiangsu Key Research and Development Program(BE2017369).
The study evaluates and compares the leaf number(LN)of two rice types,Hybrid Indica(HI)and Japonica(J),and their response to three different nitrogen rates.A split plot experiment was conducted in Danyang District,Jia...
关键词：CULTIVAR PANICLE furthermore 
Comparison of 2-Acetyl-1-Pyrroline (2AP) in Rice Leaf at Different Growth Stages Using Gas Chromatography
《Agricultural Sciences》2022年第2期165-176,共12页Manoch Kongchum Dustin L. Harrell Steve D. Linscombe 
Aromatic rice lines were examined for 2-Acetyl-1-Pyrroline (2AP) content in leaf tissue at five different growth stages (tillering, panicle initiation, 50% heading, booting, and maturity). A small plot trial with plot...
关键词：2-Acetyl-1-Pyrroline (2AP) Aromatic Rice Leaf Tissue Gas Chromatography 
Bph30confers resistance to brown planthopperby fortifying sclerenchyma in rice leaf sheaths被引量：10
《Molecular Plant》2021年第10期1714-1732,共19页Shaojie Shi Huiying Wang Lingyun Nie Di Tan Cong Zhou Qian Zhang YiLi Bo Du Jianping Guo Jin Huang DiWu Xiaohong Zheng Wei Guan Junhan Shan Lili Zhu Rongzhi Chen Longjian Xue Linda L.Walling Guangcun He 
This work was supported by the Major Program of Guangdong Basic andApplied Research,China(2019B030302006);the National Program onResearch and Development of Transgenic Plants of China(2016ZX08009-003);grants from the National Natural Science Foundationof China(31630063);the National Key Research and DevelopmentProgram of China(2016YFD0100600 and 2016YFD0100900).
Phloem-feeding insects cause massive losses in agriculture and horticulture.Host plant resistance to phloem-feeding insects is often mediated by changes in phloem composition,which deter insect settling and feeding an...
关键词：rice brown planthopper fortified sclerenchyma-mediated resistance cell wall leaf sheath BREEDING 
An Efficient Disease Detection Technique of Rice Leaf Using AlexNet被引量：1
《Journal of Computer and Communications》2020年第12期49-57,共9页Md. Mafiul Hasan Matin Amina Khatun Md. Golam Moazzam Mohammad Shorif Uddin 
As nearly half of the people in the world live on rice, so the rice leaf disease detection is very important for our agricultural sector. Many researchers worked on this problem and they achieved different results acc...
关键词：AlexNet Leaf Diseases Disease Prediction Rice Leaf Disease Dataset Disease Classification 
Field effect of Cnaphalocrocis medinalis granulovirus (CnmeGV) on the pest of rice leaffolder被引量：4
《Journal of Integrative Agriculture》2019年第9期2115-2122,共8页XU Jian LIU Qin LI Chuan-ming HAN Guang-jie 
supported by the National Natural Science Foundation of China (31071740 and 31701792);the Jiangsu Science Foundation of China (BK20181283);the Jiangsu Agricultural Science and Technology Innovation Fund, China (ZX(17)2002)
Rice leaffolder,Cnaphalocrocis medinalis(Guenée),has become a major pest throughout the rice cultivating areas of China and caused severe damage to rice production.Cnaphalocrocis medinalis granulovirus(CnmeGV),a natu...
关键词：RICE leaffolder Cnaphalocrocis medinalis GRANULOVIRUS FIELD effect 
Research on Rice Leaf Disease Recognition Based on BP Neural Network被引量：1
《Journal of Northeast Agricultural University(English Edition)》2019年第3期75-86,共12页Shen Wei-zheng Guan Ying Wang Yan Jing Dong-jun 
Supported by Quality and Brand Construction of"Internet+County Characteristic Agricultural Products"(ZY17C06)
To solve the problem of mistake recognition among rice diseases, automatic recognition methods based on BP(back propagation) neural network were studied in this paper for blast, sheath blight and bacterial blight. Cho...
关键词：rice LEAF disease recognition FEATURE extraction optimization o f CHARACTERISTIC paramete BP NEURAL network 
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