India is a worldwide agriculture business
powerhouse. Future of agriculture-based products depends on the
crop production. A mathematical model might be characterized as
a lot of equations that speak to the conduct of a framework. By
using mathematical model in agriculture field, we can predict the
production of crop in particular area. There are various factors
affecting crops such as Rainfall, GHG Emissions, Temperature,
Urbanization, climate, humidity etc. A mathematical model is a
simplified representation of a real-world system. It forms the
system using mathematical principles in the form of a condition
or a set of conditions. Suppose we need to increase the crop
production, at that time the mathematical model plays a major
role and our work can be easier, more significant by using the
mathematical model. Through the mathematical model we predict
the crop production in upcoming years. .AI, ML, IOT play a major
role to predict the future of agriculture, but without mathematical
models it is not possible to predict crop production accurately. To
solve the real-world agriculture problem, mathematical models
play a major role for accurate results. Correlation Analysis,
Multiple Regression analysis and fuzzy logic simulation standards
have been utilized for building a grain production benefit
depending model from crop production. Prediction of crop is
beneficiary to the farmer to analyze the crop management. By
using the present agriculture data set which is available on the
government website, we can build a mathematical model.