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Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images.
Tanaka Y, Watanabe T, Katsura K, Tsujimoto Y, Takai T, Tanaka TST, Kawamura K, Saito H, Homma K, Mairoua SG, Ahouanton K, Ibrahim A, Senthilkumar K, Semwal VK, Matute EJG, Corredor E, El-Namaky R, Manigbas N, Quilang EJP, Iwahashi Y, Nakajima K, Takeuchi E, Saito K. Tanaka Y, et al. Among authors: saito k, saito h. Plant Phenomics. 2023 Jul 28;5:0073. doi: 10.34133/plantphenomics.0073. eCollection 2023. Plant Phenomics. 2023. PMID: 38239736 Free PMC article.
Improved climate risk simulations for rice in arid environments.
van Oort PA, de Vries ME, Yoshida H, Saito K. van Oort PA, et al. Among authors: saito k. PLoS One. 2015 Mar 16;10(3):e0118114. doi: 10.1371/journal.pone.0118114. eCollection 2015. PLoS One. 2015. PMID: 25774909 Free PMC article.
8,915 results