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Machine Learning Approaches for Rice Seedling Growth Stages Detection
Recognizing rice seedling growth stages to timely do field operations, such as temperature control, fertilizer, irrigation, cultivation, and disease control, is of great significance of crop management, provision of standard and well-nourished seedlings for mechanical transplanting, and increase of...
Autores principales: | Tan, Suiyan, Liu, Jingbin, Lu, Henghui, Lan, Maoyang, Yu, Jie, Liao, Guanzhong, Wang, Yuwei, Li, Zehua, Qi, Long, Ma, Xu |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225317/ https://www.ncbi.nlm.nih.gov/pubmed/35755682 http://dx.doi.org/10.3389/fpls.2022.914771 |
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