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Работы, на которые ссылается эта работа
Работ: 96
Работа: Predicting rice diseases using advanced technologies at different scales: present status and future perspectives
Leaf Image-Based Plant Disease Identification Using Color and Texture Features
Nisar Ahmad, Hafiz Muhammad Shahzad Asif, Gulshan Saleem +3
Статья2021Цитирований: 3ABIMachine learning applications in genetics and genomics
Maxwell W. Libbrecht, William Stafford Noble
Обзорная статья2015Цитирований: 3ABIMachine Learning for High-Throughput Stress Phenotyping in Plants
Arti Singh, Baskar Ganapathysubramanian, Asheesh K. Singh +1
Обзорная статья2015Цитирований: 3ABIPlant pathogenicity and associated/related detection systems. A review
Rhea Patel, Bappa Mitra, Madhuri Vinchurkar +5
Обзорная статья2022Цитирований: 3ABIPathways to engineering the phyllosphere microbiome for sustainable crop production
Chengfang Zhan, Haruna Matsumoto, Yufei Liu +1
Обзорная статья2022Цитирований: 3ABICucumber disease recognition based on Global-Local Singular value decomposition
Статья2016Цитирований: 2ABILeaf chlorophyll content as a proxy for leaf photosynthetic capacity
Holly Croft, Jing M. Chen, Xiangzhong Luo +3
Статья2016Цитирований: 2ABICrop Phenomics and High-Throughput Phenotyping: Past Decades, Current Challenges, and Future Perspectives
Wanneng Yang, Hui Feng, Xuehai Zhang +5
Обзорная статья2020Цитирований: 2ABIBacterial seed endophyte shapes disease resistance in rice
Haruna Matsumoto, Xiaoyan Fan, Yue Wang +12
Статья2021Цитирований: 2ABIUsing machine learning approaches for multi-omics data analysis: A review
Parminder Singh Reel, Smarti Reel, Ewan R. Pearson +2
Обзорная статья2021Цитирований: 2ABIA Review of Vector-Borne Rice Viruses
Pengyue Wang, Jianjian Liu, Yajing Lyu +7
Обзорная статья2022Цитирований: 2ABIPhyllosphere microbiome induces host metabolic defence against rice false-smut disease
Xiaoyu Liu, Haruna Matsumoto, Tianxing Lv +12
Статья2023Цитирований: 2ABI