Machine learning ensembles, neural network, hybrid and sparse regression approaches for weather based rainfed cotton yield forecast
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Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00484-024-02661-1.pdf
Reference68 articles.
1. Abbaszadeh P, Gavahi K, Alipour A, Deb P, Moradkhani H (2022) Bayesian multi-modeling of deep neural nets for probabilistic crop yield prediction. Agric For Meteorol 314:108773
2. Ali AM, Abouelghar M, Belal AA, Saleh N, Yones M, Selim AI, Amin ME, Elwesemy A, Kucher DE, Maginan S, Savin I (2022) Crop yield prediction using multi sensors remote sensing. Egypt J Remote Sens Space Sci 25(3):711–716. https://doi.org/10.1016/j.ejrs.2022.04.006
3. Amaratunga V, Wickramasinghe L, Perera A, Jayasinghe J, Rathnayake U (2020) Artifcial neural network to estimate the paddy yield prediction using climatic data. Math Probl Eng:8627824. https://doi.org/10.1155/2020/8627824
4. Aravind K, Vashisth A, Krishanan P, Das B (2022) Wheat yield prediction based on weather parameters using multiple linear, neural network and penalised regression models. J Agrometeorol 24(1):18–25. https://doi.org/10.54386/jam.v24i1.1002
5. Bali N, Singla A (2021) Deep learning based wheat crop yield prediction model in Punjab region of North India. App Artificial Intel 35(15):1304–1328. https://doi.org/10.1080/08839514.2021.1976091
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1. Harnessing the power of machine learning for crop improvement and sustainable production;Frontiers in Plant Science;2024-08-12
2. Correction to: Machine learning ensembles, neural network, hybrid and sparse regression approaches for weather based rainfed cotton yield forecast;International Journal of Biometeorology;2024-05-01
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