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Ish: Predicting rice diseases using advanced technologies at different scales: present status and future perspectives
Machine learning applications in genetics and genomics
Maxwell W. Libbrecht, William Stafford Noble
Sharh maqola20153 iqtibosABIMachine Learning for High-Throughput Stress Phenotyping in Plants
Arti Singh, Baskar Ganapathysubramanian, Asheesh K. Singh +1
Sharh maqola20153 iqtibosABIPlant pathogenicity and associated/related detection systems. A review
Rhea Patel, Bappa Mitra, Madhuri Vinchurkar +5
Sharh maqola20223 iqtibosABIPathways to engineering the phyllosphere microbiome for sustainable crop production
Chengfang Zhan, Haruna Matsumoto, Yufei Liu +1
Sharh maqola20223 iqtibosABILeaf chlorophyll content as a proxy for leaf photosynthetic capacity
Holly Croft, Jing M. Chen, Xiangzhong Luo +3
Maqola20162 iqtibosABICrop Phenomics and High-Throughput Phenotyping: Past Decades, Current Challenges, and Future Perspectives
Wanneng Yang, Hui Feng, Xuehai Zhang +5
Sharh maqola20202 iqtibosABIBacterial seed endophyte shapes disease resistance in rice
Haruna Matsumoto, Xiaoyan Fan, Yue Wang +12
Maqola20212 iqtibosABIUsing machine learning approaches for multi-omics data analysis: A review
Parminder Singh Reel, Smarti Reel, Ewan R. Pearson +2
Sharh maqola20212 iqtibosABIA Review of Vector-Borne Rice Viruses
Pengyue Wang, Jianjian Liu, Yajing Lyu +7
Sharh maqola20222 iqtibosABI