Plant disease and entomology identification using deep learning and computer vision

Abstract

Identifying plant diseases is the key to preventing losses in yield and quantity of agricultural product. The study of plant diseases means the study of visually observable patterns observed on a plant. Monitoring the health status and detection of plant diseases is very important for sustainable agriculture. It is very difficult to monitor plant diseases manually. It requires a huge amount of work, expertise in plant diseases and also takes too long to process. Image processing is therefore used for plant disease detection. Disease detection includes steps such as image acquisition, image preprocessing, image segmentation, feature extraction, and classification. This article discusses the methods used to detect plant diseases using images of their leaves. This paper also discusses some segmentation and feature extraction algorithms used in plant disease detection.