Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images

Rice (Oryza sativa L.) is one of the most important cereals, which provides 20% of the world’s food energy. However, its productivity is poorly assessed especially in the global South. Here, we provide a first study to perform a deep-learning-based approach for instantaneously estimating rice yield...

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Detalles Bibliográficos

Autores principales:	Tanaka, Y., Watanabe, T., Katsura, K., Tsujimoto, Y., Takai, T., Tanaka, T.S.T., Kawamura, K., Saito, H., Homma, K., Ahouanton, K., Ibrahim, A., Senthilkumar, K., Semwal, V.K., Matute, E.J.G., Corredor, E., El-Namaky, R., Manigbas, N., Quilang, E.J.P., Iwahashi, Y., Nakajima, K., Takeuchi, E., Saito, K., Mairoua, S.G.
Formato:	Journal Article
Lenguaje:	Inglés
Publicado:	Elsevier 2023
Materias:	energy data rice food systems
Acceso en línea:	https://hdl.handle.net/10568/132700