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...

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Detalles Bibliográficos
Autores principales: Tan, Suiyan, Liu, Jingbin, Lu, Henghui, Lan, Maoyang, Yu, Jie, Liao, Guanzhong, Wang, Yuwei, Li, Zehua, Qi, Long, Ma, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
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

Internet

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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