Detection of Pathogens:A Comprehensive Study to Improve the Precision Agriculture

Abstract

For human livelihood, agriculture is an extremely important sector in Indian Agronomy. Environmental toxic farm impact affects all fields, making it difficult to manage numerous challenging situations. In order to get benefited of a crop for farmers and end user’s point of view, agriculture must adapt different technologies according to the day to day life environmental changes. Early identification of crop diseases will help farmers instead of entering into dangerous life threatening situations. For finding crop diseases along with close observation of a farmer, computer technologies will help a lot to maintain sustainable and healthy crop. Among several computing technologies, Deep Learning techniques create a major impact. In this paper we review various existing methods including machine learning, deep learning and AI for precision agriculture. The research insights provide understanding of state-of-the-art techniques, their limitations and the research gaps for further investigation towards precision agriculture.