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Иш: 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
Шарҳ мақола20153 иқтибосABIMachine Learning for High-Throughput Stress Phenotyping in Plants
Arti Singh, Baskar Ganapathysubramanian, Asheesh K. Singh +1
Шарҳ мақола20153 иқтибосABIPlant pathogenicity and associated/related detection systems. A review
Rhea Patel, Bappa Mitra, Madhuri Vinchurkar +5
Шарҳ мақола20223 иқтибосABIPathways to engineering the phyllosphere microbiome for sustainable crop production
Chengfang Zhan, Haruna Matsumoto, Yufei Liu +1
Шарҳ мақола20223 иқтибосABILeaf chlorophyll content as a proxy for leaf photosynthetic capacity
Holly Croft, Jing M. Chen, Xiangzhong Luo +3
Мақола20162 иқтибосABIBacterial seed endophyte shapes disease resistance in rice
Haruna Matsumoto, Xiaoyan Fan, Yue Wang +12
Мақола20212 иқтибосABIUsing machine learning approaches for multi-omics data analysis: A review
Parminder Singh Reel, Smarti Reel, Ewan R. Pearson +2
Шарҳ мақола20212 иқтибосABIA Review of Vector-Borne Rice Viruses
Pengyue Wang, Jianjian Liu, Yajing Lyu +7
Шарҳ мақола20222 иқтибосABI