Pests And Diseases Detection Of Cotton Farm Using Artificial Intelligence Technologies: A Review

Abstract

Cotton is a commercial and fiber crop that generates profit for agronomists in India and is the world's second-largest export
crop after China. Cotton crops are harmed by excessive water use, soil degradation, and the use of harmful pesticides and
fertilizers. Cotton diseases and sucking pests are the two biggest threats to the crop's rapid growth. In this study, an overview
of papers has been finished utilizing machine learning and its advanced learning techniques, as well as image pre-processing
and segmentation techniques, to detect and classify various diseases and pests. To identify the specific cotton diseases and
pests under research, as well as overall performance based on the various metrics used. Our findings endorse that machine
learning and its advanced learning techniques provide outperform ordinally utilized image processing techniques in phrases
of exactness and other viable methodologies.