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Detection of waterlogging stress based on hyperspectral images of oilseed rape leaves (Brassica napus L.).

, , , , , , , , , and . Comput. Electron. Agric., (2019)

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Detection of waterlogging stress based on hyperspectral images of oilseed rape leaves (Brassica napus L.)., , , , , , , , , and . Comput. Electron. Agric., (2019)Analysis of Changes in Agronomic Parameters and Disease Index of Rapeseed Leaf Leukoplakia Based on Spectra., , , , , , , and . CCTA (1), volume 478 of IFIP Advances in Information and Communication Technology, page 637-653. (2015)Hyperspectral Identification and Classification of Oilseed Rape Waterlogging Stress Levels Using Parallel Computing., , , , , , , , , and . IEEE Access, (2018)Nitrogen Revising of Rapeseed (Brassica napus L.) Phenology and Leaf Number Models., , , , , , , , , and 5 other author(s). CCTA, volume 452 of IFIP Advances in Information and Communication Technology, page 54-66. Springer, (2014)Research and Application of Cultivation-Simulation-Optimization Decision Making System for Rapeseed (Brassica Napus L.)., , , , , , , , , and 4 other author(s). CCTA (2), volume 345 of IFIP Advances in Information and Communication Technology, page 441-456. Springer, (2010)Researches of Digital Design System of Rice Cultivation Based on Web and Simulation Models., , , , , and . CCTA, volume 259 of IFIP Advances in Information and Communication Technology, page 1077-1086. Springer, (2007)Intellectualized Identifying and Precision Control System for Horticultural Crop Diseases Based on Small Unmanned Aerial Vehicle., , , , , , , , , and 2 other author(s). CCTA (2), volume 393 of IFIP Advances in Information and Communication Technology, page 196-202. Springer, (2012)Biomass-Based Leaf Curvilinear Model for Rapeseed (Brassica napus L.)., , , , , , , , and . CCTA (1), volume 478 of IFIP Advances in Information and Communication Technology, page 459-472. (2015)Rapeseed (Brassica napus L.) Primary Ramification Morphological Structural Model Based on Biomass., , , , , , , and . CCTA (1), volume 478 of IFIP Advances in Information and Communication Technology, page 502-518. (2015)Visible-near infrared spectrum-based classification of apple chilling injury on cloud computing platform., , , , , and . Comput. Electron. Agric., (2018)