XAI in Agriculture

Abstract

In order to make an accurate prediction regarding the quantity of cotton that will be harvested, we have compiled a specialized dataset consisting of environmental parame- ters as part of this particular research project. The purpose of the dataset collection was to collect data on environmental parameters from a variety of locations in Gujarat, and we have utilized geographic information systems in order to accomplish this. For the purpose of utilizing artificial intelligence that can be explained, we decided to concentrate on this particular application that is associated with agriculture. Within the scope of this investigation, we have employed machine learning and deep learning models to make projections regarding yield, and we have utilized XAI models to offer an explanation concerning a particular prediction.