Developing Yield Prediction model for Grapes under Climatic Scenario Along with Disease Management

Abstract

Crop development and yield are both influenced by the weather. A generic agro-climatic yield prediction model for grape is created and analytically solved in this research. In the field of mathematical biology, this model is valuable for research scholars, faculty members, and academics. To acquire the final form of the yield prediction model, an asymptotic analysis is performed. Climate, disease, and grape yield are all dependent parameters in the model creation process. Independent characteristics include infection rate, disease incidence, seasonality rate, and removal rate of grape production per harvest period. The model is also examined, with parameters estimated using field data from GRS during the period 2015-2021.On concentration curves, the impacts of various parameters are discussed. This model's stability analysis is also explained. The obtained analytical solution is found to be in satisfactory agreement with the numerical and stability studies