Gumma, M.K.; Nukala, R.M.; Panjala, P.; Bellam, P.K.; Gajjala, S.; Dubey, S.K.; Sehgal, V.K.; Mohammed, I.; Deevi, K.C.
Optimizing Crop Yield Estimation through Geospatial Technology: A Comparative Analysis of a Semi-Physical Model, Crop Simulation, and Machine Learning Algorithms. AgriEngineering 2024, 6, 786-802.
https://doi.org/10.3390/agriengineering6010045
AMA Style
Gumma MK, Nukala RM, Panjala P, Bellam PK, Gajjala S, Dubey SK, Sehgal VK, Mohammed I, Deevi KC.
Optimizing Crop Yield Estimation through Geospatial Technology: A Comparative Analysis of a Semi-Physical Model, Crop Simulation, and Machine Learning Algorithms. AgriEngineering. 2024; 6(1):786-802.
https://doi.org/10.3390/agriengineering6010045
Chicago/Turabian Style
Gumma, Murali Krishna, Ramavenkata Mahesh Nukala, Pranay Panjala, Pavan Kumar Bellam, Snigdha Gajjala, Sunil Kumar Dubey, Vinay Kumar Sehgal, Ismail Mohammed, and Kumara Charyulu Deevi.
2024. "Optimizing Crop Yield Estimation through Geospatial Technology: A Comparative Analysis of a Semi-Physical Model, Crop Simulation, and Machine Learning Algorithms" AgriEngineering 6, no. 1: 786-802.
https://doi.org/10.3390/agriengineering6010045
APA Style
Gumma, M. K., Nukala, R. M., Panjala, P., Bellam, P. K., Gajjala, S., Dubey, S. K., Sehgal, V. K., Mohammed, I., & Deevi, K. C.
(2024). Optimizing Crop Yield Estimation through Geospatial Technology: A Comparative Analysis of a Semi-Physical Model, Crop Simulation, and Machine Learning Algorithms. AgriEngineering, 6(1), 786-802.
https://doi.org/10.3390/agriengineering6010045
