Implementation of Disease Detection in Fruits using Neural Networks

Abstract

Commercialized agricultural operations are always looking for ways to reduce labour requirements without compromising output. Images of a few different fruit diseases, including Bitter Rot, and Sooty Blotch are employed in this method. Fruit infections’ ability to lower productivity and the global economy in the agricultural sector is a frustrating situation. In actuality, a healthy diet should be built around fruits. India has a population that is approximately 68 per cent dependent on agriculture. A significant percentage of the Indian economy is based on agriculture. Fruit cultivation has been a vital part of agriculture all over the world and has been the foundation of rural economies. Moni-toring a plant’s health and spotting illness manually is challenging. Agribusi-ness is a major contributor to the global economy, but its growth is slowing when compared to the rise in interest, and this ratio of interest to creation is expected to maintain high in the next few generations.