Search Results - Senthilkumar, K.
- Showing 1 - 8 results of 8
-
Farmer segmentation methodology training by Andriatsiorimanana, A., Assefa, B., Senthilkumar, K.
Published 2024Get full text
Informe técnico -
Standard Operating Procedure for Farmer Segmentation in Excellence in Agronomy Use Cases: Understanding farm diversity for more effective agronomic advisory services by Vandamme, E., Descheemaeker, Katrien K., Devkota, M., Ibrahim, I., Shrestha, N., Senthilkumar, K.
Published 2023Get full text
Manual -
Maize-grain zinc and iron concentrations as influenced by agronomic management and biophysical factors: a meta-analysis by Kihara, J., Mutambu, D.M., Kinyua, M., Sileshi, G.W., Senthilkumar, K., Mkhulani, S., Nturibi, L., Devkota, M., Saito, K., Bolo, P., Sila, A.
Published 2024Get full text
Conjunto de datos -
Farm typology for digital green and fertilizer Ethiopia use cases by Pawar, R.R., Ismael, A.D., Descheemaeker, K., Liben, F., Ebrahim, M., Eshete, M., Tigabie, A., Tsedalu, B., Desta, G., Tamene, Lulseged D., Aubert, C., Assefa, B., Vandamme, E., Senthilkumar, K.
Published 2023Get full text
Informe técnico -
Farm typology for targeting fertilizer advisory – digital green and fertilizer Ethiopia use cases by Pawar, R.R., Ismael, A.D., Descheemaeker, K., Liben, F., Ebrahim, M., Eshete, M., Tigabie, A., Tsedalu, B., Desta, G., Tamene, Lulseged D., Aubert, C., Assefa, B., Vandamme, E., Senthilkumar, K.
Published 2024Get full text
Informe técnico -
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.
Published 2023Get full text
Journal Article