《Plant Phenomics》

作品数：232被引量：307H指数：9
导出分析报告
《Plant Phenomics》
主办单位：南京农业大学
最新期次：2024年3期更多>>
发文主题：PHENOTYPINGBREEDINGHIGH-THROUGHPUTPLANTWHEAT更多>>
发文领域：农业科学自动化与计算机技术生物学电子电信更多>>
发文基金：国家自然科学基金World Health Organization中国博士后科学基金高等学校学科创新引智计划更多>>
-
在结果中检索

检索结果分析

结果分析中...
共 条 记 录，以下是1-10
全选清除导出
参考文献引证文献引用追踪
视图：
排序：
Noninvasive Abiotic Stress Phenotyping of Vascular Plant in Each Vegetative Organ View
《Plant Phenomics》2024年第3期708-723,共16页Libin Wu Han Shao Jiayi Li Chen Chen Nana Hu Biyun Yang Haiyong Weng Lirong Xiang Dapeng Ye 
supported by the Natural Science Foundation of Fujian Province,China(2022J01611);Subsidy for the Construction of Fujian Key Laboratory of Agricultural Information Sensing Technology(KJG22052A);Agricultural Artificial Intelligence(133/71202020);Subtropical Fruit Intelligent Production Service Team(11899170167);the Program of Interdisciplinary Integration Promoting the Development of Intelligent Agriculture(Horticulture)(No.000-71202103B).
The last decades have witnessed a rapid development of noninvasive plant phenotyping,capable of detecting plant stress scale levels from the subcellular to the whole population scale.However,even with such a broad ran...
关键词：VEGETATIVE stress plant EACH VIEW ABIOTIC NONINVASIVE organ PHENOTYPING vascular 
Three-Dimensional Leaf Edge Reconstruction Combining Two-and Three-Dimensional Approaches
《Plant Phenomics》2024年第3期532-546,共15页Hidekazu Murata Koji Noshita 
supported by Japan Society for the Promotion of Science(JSPS)KAKENHI Grant Numbers 20H0-1381,21K14947,and 22H04727(to K.N.);Japan Science and Technology Agency(JST)PRESTO Grant Number JPMJPR16O5(to K.N.);JST MIRAI Grant Number JPMJMI20G6(to K.N.);Moonshot R&D Grant Number JPMJMS2021(to K.N.);Bio-oriented technology Research Advancement InstitusioN(BRAIN)Moonshot R&D Grant Number JPJ009237(to K.N.).
Leaves,crucial for plant physiology,exhibit various morphological traits that meet diverse functional needs.Traditional leaf morphology quantification,largely 2-dimensional(2D),has not fully captured the 3-dimensional...
关键词：EDGE LEAF APPROACHES COMBINING DIMENSIONAL RECONSTRUCTION three 
SDC-DeepLabv3+:Lightweight and Precise Localization Algorithm for Safflower-Harvesting Robots
《Plant Phenomics》2024年第3期621-637,共17页Zhenyu Xing Zhenguo Zhang Yunze Wang Peng Xu Quanfeng Guo Chao Zeng Ruimeng Shi 
supported in part by the National Natural Science Foundation of China[grant numbers 52265041 and 31901417];the Open Subjects of Zhejiang Provincial Key Laboratory for Agricultural Intelligent Equipment and Robotics,China[grant number 202ZJZD2202];the Graduate School-level Research and Innovation Program of Xinjiang Agricultural University,China[grant number XJAUGRI2023021].
Harvesting robots had difficulty extracting filament phenotypes for small,numerous filaments,heavy cross-obscuration,and similar phenotypic characteristics with organs.Robots experience difficulty in localizing under ...
关键词：LIGHTWEIGHT localization algorithm HARVESTING PRECISE ROBOTS SAFFLOWER sdc-deeplabv3+ 
DEKR-SPrior:An Efficient Bottom-Up Keypoint Detection Model for Accurate Pod Phenotyping in Soybean
《Plant Phenomics》2024年第3期655-668,共14页Jingjing He Lin Weng Xiaogang Xu Ruochen Chen Bo Peng Nannan Li Zhengchao Xie Lijian Sun Qiang Han Pengfei He Fangfang Wang Hui Yu Javaid Akhter Bhat Xianzhong Feng 
supported in part by the National Key Research and Development Program of China(2023YFD-1202600);the National Natural Science Foundation of China(62103380);the Research and Development Project from the Department of Science and Technology of Zhejiang Province(2023C01042);Soybean Intelligent Computational Breeding and Application of the Zhejiang Lab(2021PE0AC04);Intelligent Technology and Platform Development for Rice Breeding of the Zhejiang Lab(2021PE0AC05);Fine-grained Semantic Modeling and Cross modal Encoding-Decoding for Multilingual Scene Text Extraction(2022M722911).
The pod and seed counts are important yield-related traits in soybean.High-precision soybean breeders face the major challenge of accurately phenotyping the number of pods and seeds in a high-throughput manner.Recent ...
关键词：BOTTOM-UP detection model ACCURATE dekr-sprior EFFICIENT keypoint PHENOTYPING SOYBEAN 
UAV-Assisted Dynamic Monitoring of Wheat Uniformity toward Yield and Biomass Estimation
《Plant Phenomics》2024年第3期610-620,共11页Yandong Yang Qing Li Yue Mu Haitao Li Hengtong Wang Seishi Ninomiya Dong Jiang 
supported by the National Key R&D Program of China(no.2022YFE0116200);the“JBGS”Project of Seed Industry Revitalization in Jiangsu Province(JBGS[2021]007);the National Natural Science Foundation of China(32272213,32030076,U1803235,and 32021004);the Fundamental Research Funds for the Central Universities(XUEKEN2023013);the National Key Research and Development Program of China(2020YFE0202900).
Crop uniformity is a comprehensive indicator used to describe crop growth and is important for assessing crop yield and biomass potential.However,there is still a lack of continuous monitoring of uniformity throughout...
关键词：YIELD dynamic biomass estimation monitoring TOWARD uav-assisted UNIFORMITY WHEAT 
Grain Protein Content Phenotyping in Rice via Hyperspectral Imaging Technology and a Genome-Wide Association Study
《Plant Phenomics》2024年第3期684-695,共12页Hengbiao Zheng Weijie Tang Tao Yang Meng Zhou Caili Guo Tao Cheng Weixing Cao Yan Zhu Yunhui Zhang Xia Yao 
supported by the National Key Research and Development Program of China(2021YFD2000100);the National Natural Science Foundation of China(32101617);the Fundamental Research Funds for the Central Universities(JSJL2023005);the Zhongshan Biological Breeding Laboratory(ZSBBL-KY2023-05);the Key Independent Research Project of Jjiangsu Key Laboratory of Information Agriculture(KLIAZZ2301);the Jiangsu Collaborative Innovation Center for Modern Crop Production(JCICMCP).
Efficient and accurate acquisition of the rice grain protein content(GPC)is important for selecting high-quality rice varieties,and remote sensing technology is an attractive potential method for this task.However,the...
关键词：ASSOCIATION technology content imaging protein GRAIN study RICE GENOME-WIDE HYPERSPECTRAL 
Characterization and Identification of NPK Stress in Rice Using Terrestrial Hyperspectral Images
《Plant Phenomics》2024年第3期638-654,共17页Jinfeng Wang Yuhang Chu Guoqing Chen Minyi Zhao Jizhuang Wu Ritao Qu Zhentao Wang 
supported by China's National Key R&D Plan(2021YFD200060502);China's National Key R&D Plan(2018YFD0300105);China's National Key R&D Plan(2016YFD0300909).
Due to nutrient stress,which is an important constraint to the development of the global agricultural sector,it is now vital to timely evaluate plant health.Remote sensing technology,especially hyperspectral imaging t...
关键词：IDENTIFICATION STRESS RICE character hyperspectral images TERRESTRIAL USING 
AppleQSM:Geometry-Based 3D Characterization of Apple Tree Architecture in Orchards
《Plant Phenomics》2024年第3期737-754,共18页Tian Qiu Tao Wang Tao Han Kaspar Kuehn Lailiang Cheng Cheng Meng Xiangtao Xu Kenong Xu Jiang Yu 
supported by the USDA NIFA Hatch project(accession no.1025032);USDA NIFA Specialty Crop Research Initiative(award no.2020-51181-32197);the McIntire-Stennis award(accession 1027551)from the United States Department of Agriculture Institute of Food and Agriculture;Cornell Institute of Digital Agriculture Research Innovation Fund;Beijing Municipal Natural Science Foundation(grant no.1232019);National Natural Science Foundation of China(grant no.12101606);Renmin University of China Research Fund Program for Young Scholars.
The architecture of apple trees plays a pivotal role in shaping their growth and fruit-bearing potential,forming the foundation for precision apple management.Traditionally,2D imaging technologies were employed to del...
关键词：ARCHITECTURE TREE tion appleqsm CHARACTER geometry-based ORCHARDS 
Detection and Identification of Tassel States at Different Maize Tasseling Stages Using UAV Imagery and Deep Learning
《Plant Phenomics》2024年第3期563-578,共16页Jianjun Du Jinrui Li Jiangchuan Fan Shenghao Gu Xinyu Guo Chunjiang Zhao 
supported by the National Key Research and Development Program(2022YFD1900701);the Heilongjiang Province“Enlisting and Leading”Science and Technology Research Projects(20212XJ05A02);the Construction of Colaborative Innovation Center of Beijing Academy of Agriculture and Forestry Science(KJCX20230429);the National Natural Science Foundation of China(U21A20205).
The tassel state in maize hybridization fields not only reflects the growth stage of the maize but also reflects the performance of the detasseling operation.Existing tassel detection models are primarily used to iden...
关键词：IDENTIFICATION DIFFERENT learning imagery DETECTION deep MAIZE stages STATES tasseling 
StripeRust-Pocket:A Mobile-Based Deep Learning Application for Efficient Disease Severity Assessment of Wheat Stripe Rust
《Plant Phenomics》2024年第3期771-786,共16页Weizhen Liu Yuxi Chen Zhaoxin Lu Xiaoyu Lu Ze Wu Ziyao Zheng Yongqiang Suo Caixia Lan Xiaohui Yuan 
partially supported by the National Natural Science Foundation of China(Grant Nos.32200331 and 32090061);the Major Science and Technology Research Project of Hubei Province(Grant No.2021 AFB002);the Natural Science Foundation of Chongqing(Grant No.cstc2021jcyj-msxmX1050);the Open Project of Wuhan University of Technology Chongqing Research Institute(Grant No.ZL2021-3).
Wheat stripe rust poses a marked threat to global wheat production.Accurate and effective disease severity assessments are crucial for disease resistance breeding and timely management of field diseases.In this study,...
关键词：APPLICATION learning POCKET deep ASSESSMENT disease EFFICIENT mobile-based severity striperust 
全选清除导出
共24页<12345678910>
检索报告 对象比较 聚类工具 使用帮助 返回顶部