Crop yield prediction using machine learning and deep learning

Abstract

Bangladesh is an agrarian country. Though, a substantial portion of our economy and workforce depends directly or indirectly on agriculture. However, due to climate change, floods, insufficient incentives, and less grist our farmers are getting demotivated in farming. As a result, more and more farmers are leaving the agriculture sector every year and this can cause devastating effects for Bangladesh. Moreover, there is little or no research on improving Bangladesh agriculture using cutting-edge machine learning techniques. So, this research works on Crop yield prediction Using Machine learning and deep learning. This work explores the different state-of-the-art machine learning and deep learning techniques and relevant dataset to develop an effective Crop yield prediction system for Bangladeshi farmers. So that our farmers can decide which crop to cultivate for gaining the maximum yield by following our prediction system.