THE BIG PICTURE - SATELLITE REMOTE SENSING APPLICATIONS IN RANGELAND ASSESSMENT AND CROP INSURANCE [PDF]
Livestock Production/Industries, Risk and Uncertainty,
Atwood, Joseph A. +3 more
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Exploring the potential role of multi-source remote sensing data during different growth stages in crop yield prediction. [PDF]
PeerJGu X, Xu E, Chi Y, Zhou L, Liang Q.
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A hybrid SERWI ensemble model for crop yield prediction using an inverse RMSE weighting strategy. [PDF]
Sci RepRavikumar A +4 more
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Federated learning for crop yield prediction: A comprehensive review of techniques and applications. [PDF]
MethodsXHiremani V +7 more
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An explainable AI-based hybrid machine learning model for interpretability and enhanced crop yield prediction. [PDF]
MethodsXYenkikar A, Mishra VP, Bali M, Ara T.
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Evaluating crop yield prediction models in illinois using aquacrop, semi-physical model and artificial neural networks. [PDF]
Sci RepGautam V, Gani A, Pathak S, Shukla AK.
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On-device AI for climate-resilient farming with intelligent crop yield prediction using lightweight models on smart agricultural devices. [PDF]
Sci RepDhanaraj RK +3 more
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Crop yield prediction in agriculture: A comprehensive review of machine learning and deep learning approaches, with insights for future research and sustainability. [PDF]
HeliyonJabed MA, Azmi Murad MA.
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Explanatory models in crop physiology [PDF]
, 1979 Loomis, R.S., Ng, E., Rabbinge, R.
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A REVIEW ON CROP YIELD PREDICTION
Globus An International Journal of Management & IT, 2019 K.P. Jayant, Nandini Kakran
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