Regression Based ICT Model for Crop Yield Estimation

Abstract

Farming and agriculture is the primary occupation in a nation like India. It has always proved to be important that we work towards constructing projects and systems that subsequently help in making a social reform where it is needed the most. Hence, it comes as no surprise that not only the government but also prominent science project centres have always paid a lot of attention and never hesitated from taking initiatives and efforts in assisting build different projects that help in development and progress in the same field. We also aim in building a project that draws an estimation about which crop is yielded at which rate in which district of Maharashtra. There are a number of algorithms that have proven to be helpful in finding out the estimation. We have taken use of Multiple Regression algorithm, which helped us to compute the yield estimation. The foremost goal of our project is to facilitate farmers and cultivators with an estimation system that helps them approximate the yield of crops and ultimately leads to a better and smarter farming structure for farm level.