Survey on Detection and Classification of Plant Leaf Disease in Agriculture Environment

Abstract

In the agriculture environment, the detection and classification of the plant disease system plays very important role.In this first leaf image is captured and uploaded to the system where this image is compared with another image which is stored in the database.Comparison is take place with the help of algorithm which is named as content based histogram algorithm.For detecting the leaf disease image processing is used.The Image processing consist color extraction and then affected area is compare.The system helps to initial precautionary measures.If proper care is not taken then it will affected on quality, quantity and finally on productivity.This paper presents survey on different detection and classification techniques for plant diseases and also image processing technique which is used for automatic, fast and accurate detection as well as classification of plant leaf diseases.

Plant phenotyping relevance

植物葉の画像から病変領域を抽出し、画像処理・分類によって病害状態を推定する手法を中心に扱うレビューであり、植物表現型（病害症状）の取得・推定方法が主題である。

Code and data availability

This is a survey paper describing image-processing techniques for plant leaf disease detection, but it provides no public datasets, images, code, models, or supplements. No availability statements or URLs for paper-specific assets appear in the supplied blocks, and no allowed URLs are provided.

No evidence-backed public reproduction asset is currently recorded.