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of 3
pro vyhledávání: '"Vimal Semwal"'
Autor:
Oluyemi Akintayo, Isaac Daniel, Shittu Afeez, Okanlawon Jolayemi, Vimal Semwal, Ramaiah Venuprasad
Publikováno v:
Crop Science. 63:1246-1256
Autor:
Toshiyuki Takai, Norvie Manigbas, Vimal Semwal, Kota Nakajima, Tomoya Watanabe, Kensuke Kawamura, Eisuke Takeuchi, Keisuke Katsura, Kalimuthu Senthilkumar, Koki Homma, Takashi Tanaka, Edgar Corredor, Yu Tanaka, Raafat El-Namaky, Salifou Mairoua, Yu Iwahashi, Eduardo Quilang, Kokou Ahouanton, Kazuki Saito, Hiroki Saito, Eduardo Jose Graterol Matute, Ali Ibrahim, Yasuhiro Tsujimoto
Crop productivity is poorly assessed globally. Here, we provide a deep learning-based approach for estimating rice yield using RGB images. During ripening stage and at harvest, over 22,000 digital images were captured vertically downwards over the ri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca0383851759488472c37fd2f487489c
https://doi.org/10.21203/rs.3.rs-1026695/v1
https://doi.org/10.21203/rs.3.rs-1026695/v1
Iron toxicity is a major constraint to rice production, particularly in highly-weathered soils of inland valleys in sub-Saharan Africa where the rice area is rapidly expanding. Although there is wide variation in tolerance in the rice germplasm, prog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2812acc0ae2ea103f6117688a131ae57
https://doi.org/10.22541/au.162341103.33294032/v1
https://doi.org/10.22541/au.162341103.33294032/v1