Search Results - Manigbas,N.

Progress in breeding for salinity tolerance and associated abiotic stresses in rice by Gregorio, G.B., Senadhira, D., Mendoza, R.D., Manigbas, N.L., Roxas, J.P., Guerta, C.Q.

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Deep learning-based estimation of rice yield using RGB image by Tanaka, Y, Watanabe, T., Katsura, K., Tsujimoto, Y., Takai, T., Tanaka, T., Kawamura, K., Saito, H., Homma, K., Mairoua, S., Ahouanton, K., Ibrahim, A., Senthilkumar, Kalimuthu, Semwal, V., Corredor, E., El-Namaky, R., Manigbas,N., Quilang, E.J.P., Iwahashi, Y., Nakajima, K., Takeuchi, E., Saito, Kazuki

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Monitoring canopy micrometeorology in diverse climates to improve the prediction of heat-induced spikelet sterility in rice under climate change by Yoshimoto, M., Fukuoka, M., Tsujimoto, Y., Matsui, T., Kobayasi, K., Oort, P.A.J. van, Inusah, B.I.Y., Vijayalakshmi, C., Vijayalakshmi, D., Weerakoon, W.M.W., Silva, L.C., TinMyint, T., Phyo, Z.C., Tian, X., Lur, H.S., Yang, C.M., Tarpley, L., Manigbas, N.L., Hasegawa, T.

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

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