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Corn Yield Prediction Model with Deep Neural Networks for Smallholder Farmer Decision Support System
Crop yield prediction has been modeled on the assumption that there is no interaction between weather and soil variables. However, this paper argues that an interaction exists, and it can be finely modelled using the Kendall Correlation coefficient.
Externí odkaz:
http://arxiv.org/abs/2401.03768
