Madras Agricultural Journal
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Research Article | Open Access | Peer Review

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

Volume : 110
Issue: March(1-3)
Pages: 48 - 57
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Published: April 17, 2023
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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.

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Pages
48 - 57
Creative Commons
Copyright
© The Author(s), 2025. Published by Madras Agricultural Students' Union in Madras Agricultural Journal (MAJ). This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited by the user.

Keywords


Seasonality rate; Grape yield; Disease incidence; Infection rate; Mathematical modeling; Simulation

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