Analysis of Apple Plant Leaf Diseases Detection and Classification: A Review
Satish Kumar, Rakesh Kumar, Meenu Gupta
Abstract
Agriculture has a vital role in the development of any country like India where the majority of the population’s livelihood depends on agriculture. Every year, diseases and pests harm apple production by a significant amount of money. Farmers face a challenge in identifying distinct apple illnesses because the symptoms of different illnesses can be extremely similar and occur at the same time. Therefore, Leaf Disease Prediction (LDP) in apple cultivation is considerably important to overcome these problems. In this work, an overview of the taxonomy of apple plant diseases is discussed with their symptoms, cause, and effect. This study concluded that the method used for automatic detection and classification of apple plant diseases is still in its infancy. Hence, a new efficient model is required for the detection and classification of apple plant leaf disease that can save the farmer from loss as well as help them in increasing the production of apples.