Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
---|---|---|---|
1 |
Material Type: Ata de Congresso
|
Deep learning based framework for crop yield predictionSucharitha, Yadala ; Reddy, Pundru Chandra Shaker ; Chitti, T. N. Babu, B. Sridhar ; Prasad, B Anjaneya ; Swamy, Adepu Kumara ; Kumar, KaushikAIP Conference Proceedings, 2023, Vol.2548 (1) [Periódico revisado por pares]Melville: American Institute of PhysicsSem texto completo |
|
2 |
Material Type: Ata de Congresso
|
The literature survey: Precision agriculture for crop yield optimizationMogilicharla, Surender ; Mummadi, Upendra Kumar Purohit, Rajesh ; Singh, Swadesh Kumar ; Muttil, Nitin ; Kotkunde, Nitin ; Nikhare, Chetan PAIP Conference Proceedings, 2024, Vol.3007 (1) [Periódico revisado por pares]Melville: American Institute of PhysicsSem texto completo |
|
3 |
Material Type: Ata de Congresso
|
Crop yield prediction in Indian agriculture using machine learningCherukupalli, Mallikarjuna Rao ; Goli, Ritwik ; Talakanti, Tarun Reddy ; Vuppu, Lokeish Sae Ram ; Medikonda, Shyam Kumar Haider, Julfikar ; Singh, Swadesh Kumar ; Nikhare, Chetan P ; Perveen, Asma ; Purohit, RajeshAIP Conference Proceedings, 2023, Vol.2754 (1) [Periódico revisado por pares]Melville: American Institute of PhysicsSem texto completo |
|
4 |
Material Type: Ata de Congresso
|
A review of crop yield prediction based on Indian agriculture sector using machine learningThomas, Deepthi Jaseena, K U ; Manzur Ali, P P ; Jasmine, P MAIP Conference Proceedings, 2023, Vol.2773 (1) [Periódico revisado por pares]Melville: American Institute of PhysicsSem texto completo |
|
5 |
Material Type: Ata de Congresso
|
INTRA-FIELD CROP YIELD VARIABILITY BY ASSIMILATING CUBESAT LAI IN THE APSIM CROP MODELZiliani, M. G. ; Altaf, M. U. ; Aragon, B. ; Houborg, R. ; Franz, T. E. ; Lu, Y. ; Sheffield, J. ; Hoteit, I. ; McCabe, M. F.International archives of the photogrammetry, remote sensing and spatial information sciences., 2022, Vol.XLIII-B3-2022, p.1045-1052 [Periódico revisado por pares]Gottingen: Copernicus GmbHTexto completo disponível |
|
6 |
Material Type: Ata de Congresso
|
IN AND END OF SEASON SOYBEAN YIELD PREDICTION WITH HISTOGRAM BASED DEEP LEARNINGErik, E. ; Durmaz, M. ; Ok, A. Ö.International archives of the photogrammetry, remote sensing and spatial information sciences., 2023, Vol.XLVIII-M-1-2023, p.95-100 [Periódico revisado por pares]Gottingen: Copernicus GmbHTexto completo disponível |
|
7 |
Material Type: Ata de Congresso
|
Studying hybrid combinations of corn based on diallel crossing schemeZaitsev, Sergey ; Babushkin, Denis ; Lyovkina, Albina ; Bychkova, Vera ; Gudova, Lyudmila ; Gutorova, Olga Gibadullin, Arthur ; Uzakov, GulomAIP Conference Proceedings, 2024, Vol.3184 (1) [Periódico revisado por pares]Melville: American Institute of PhysicsSem texto completo |
|
8 |
Material Type: Ata de Congresso
|
Combining ability and yield performances of Indonesian waxy corn linesSantoso, Sigit Budi ; Isnaini, Muzdalifah ; Iriany, R. Neni ; Makkulawu, A. Takdir Putri, Ezi Masdia ; Atmoko, Bayu Andri ; Kurniawan, Hakim ; Wulandari ; Widodo, Slamet ; Hudaya, Mohammad Firdaus ; Purba, Riris Delima ; Harsonowati, WiwiekAIP Conference Proceedings, 2024, Vol.2957 (1) [Periódico revisado por pares]Melville: American Institute of PhysicsSem texto completo |
|
9 |
Material Type: Ata de Congresso
|
Spatio-temporal analysis of rice yield and volume of rice production in Cagayan, PhilippinesArista, Ma. Junella C. ; Gaudillo, Shaina D. Hamid, Nur Nadiah Abd ; Ismail, Mohd Tahir ; Teh, Wen Chean ; Rahman, Norazrizal Aswad Abdul ; Kong, Voon Pang ; Lim, Johnny ; Sek, Siok KunAIP Conference Proceedings, 2024, Vol.3016 (1) [Periódico revisado por pares]Melville: American Institute of PhysicsSem texto completo |
|
10 |
Material Type: Ata de Congresso
|
APPLICATION OF UAV SURVEYS FOR EVALUATING THE PRODUCTIVITY LEVELS OF TRADITIONAL AND MECHANISED FARMERS IN A CUSTOMARY LAND TENURE SYSTEMOlayinka, D. N. ; Omolaye, K. L. ; Ilesanmi, A. J. ; Okolie, C. J. ; Arungwa, I. D.International archives of the photogrammetry, remote sensing and spatial information sciences., 2021, Vol.XLIII-B3-2021, p.617-622 [Periódico revisado por pares]Gottingen: Copernicus GmbHTexto completo disponível |