A Review on the Novel Classification Methods of Apple Fruit Disease using Feature Extraction with Deep Learning

Abstract

The economy of Indian country based on agriculture. The development of agriculture using technology is an emerging part which helps to produce quality products from agriculture. The disease identification is one of the important parts in agriculture field which uses image processing methods for disease prediction. The main intention of developing an automatic disease detection system in Fruits is reducing the loss in agriculture domain. Instead of using the manual monitoring process the smart monitoring system is used to provide gives results with less human effort. This automatic system will help the agriculture domain with easy diagnosis and classification of disease within the Apple fruit. This paper reviews the modern techniques and its efficiencies in Apple fruit disease detection system using Deep learning methods.