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1
Deep learning based framework for crop yield prediction
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Deep learning based framework for crop yield prediction

Sucharitha, Yadala ; Reddy, Pundru Chandra Shaker ; Chitti, T. N. Babu, B. Sridhar ; Prasad, B Anjaneya ; Swamy, Adepu Kumara ; Kumar, Kaushik

AIP Conference Proceedings, 2023, Vol.2548 (1) [Periódico revisado por pares]

Melville: American Institute of Physics

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2
The literature survey: Precision agriculture for crop yield optimization
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The literature survey: Precision agriculture for crop yield optimization

Mogilicharla, Surender ; Mummadi, Upendra Kumar Purohit, Rajesh ; Singh, Swadesh Kumar ; Muttil, Nitin ; Kotkunde, Nitin ; Nikhare, Chetan P

AIP Conference Proceedings, 2024, Vol.3007 (1) [Periódico revisado por pares]

Melville: American Institute of Physics

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3
Crop yield prediction in Indian agriculture using machine learning
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Crop yield prediction in Indian agriculture using machine learning

Cherukupalli, 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, Rajesh

AIP Conference Proceedings, 2023, Vol.2754 (1) [Periódico revisado por pares]

Melville: American Institute of Physics

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4
A review of crop yield prediction based on Indian agriculture sector using machine learning
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A review of crop yield prediction based on Indian agriculture sector using machine learning

Thomas, Deepthi Jaseena, K U ; Manzur Ali, P P ; Jasmine, P M

AIP Conference Proceedings, 2023, Vol.2773 (1) [Periódico revisado por pares]

Melville: American Institute of Physics

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5
INTRA-FIELD CROP YIELD VARIABILITY BY ASSIMILATING CUBESAT LAI IN THE APSIM CROP MODEL
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INTRA-FIELD CROP YIELD VARIABILITY BY ASSIMILATING CUBESAT LAI IN THE APSIM CROP MODEL

Ziliani, 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 GmbH

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6
IN AND END OF SEASON SOYBEAN YIELD PREDICTION WITH HISTOGRAM BASED DEEP LEARNING
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IN AND END OF SEASON SOYBEAN YIELD PREDICTION WITH HISTOGRAM BASED DEEP LEARNING

Erik, 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 GmbH

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7
Studying hybrid combinations of corn based on diallel crossing scheme
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Studying hybrid combinations of corn based on diallel crossing scheme

Zaitsev, Sergey ; Babushkin, Denis ; Lyovkina, Albina ; Bychkova, Vera ; Gudova, Lyudmila ; Gutorova, Olga Gibadullin, Arthur ; Uzakov, Gulom

AIP Conference Proceedings, 2024, Vol.3184 (1) [Periódico revisado por pares]

Melville: American Institute of Physics

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8
Combining ability and yield performances of Indonesian waxy corn lines
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Combining ability and yield performances of Indonesian waxy corn lines

Santoso, 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, Wiwiek

AIP Conference Proceedings, 2024, Vol.2957 (1) [Periódico revisado por pares]

Melville: American Institute of Physics

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9
Spatio-temporal analysis of rice yield and volume of rice production in Cagayan, Philippines
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Spatio-temporal analysis of rice yield and volume of rice production in Cagayan, Philippines

Arista, 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 Kun

AIP Conference Proceedings, 2024, Vol.3016 (1) [Periódico revisado por pares]

Melville: American Institute of Physics

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10
APPLICATION OF UAV SURVEYS FOR EVALUATING THE PRODUCTIVITY LEVELS OF TRADITIONAL AND MECHANISED FARMERS IN A CUSTOMARY LAND TENURE SYSTEM
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APPLICATION OF UAV SURVEYS FOR EVALUATING THE PRODUCTIVITY LEVELS OF TRADITIONAL AND MECHANISED FARMERS IN A CUSTOMARY LAND TENURE SYSTEM

Olayinka, 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 GmbH

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