Crop yield is an extremely difficult trait identified using many factors like genotype, environment and their interaction. Accurate Yield Prediction (CYP) necessitates the basic understanding of functional relativity among yields collaborative factor. Disclosing such connection requires both wide-ranging datasets efficient model. The CYP important to accomplish irrigation scheduling assessing l...

Objective: To propose Multi-parametric Deep Neural Network (MDNN) for modeling the impact of climate changes, multiple parameters related to weather and soil accurate crop yield prediction. Methods: In MDNN, a measure called Growing-Degree Day (GDD) is introduced measuring overall effect conditions yield. One key elements in MDNN neuron’s layer-wise activation function. order enhance predictive...