A Comprehensive Survey on Plant Leaf Disease Detection Using Image Analytics

Abstract

A country's economy depends heavily on agriculture, and there are many varieties of crops that can be cultivated by farmers. The issue or problems arise when the farmers are unaware of a plant disease that is affecting their crops at the appropriate moment, thus harvests become afflicted. Most of the time farmers are not aware about the disease and its type when it is discovered.Given these challenges, research in the field of automatic leaf disease detection in agriculture is of significant importance, since it could offer benefits in the detection of bigger fields of crops and help to detect diseases since they appear on plants leaf. The examination to various pattern present above the plant leaves is necessary for study of plant disease.

Plant phenotyping relevance

植物葉の画像解析による病害検出手法を包括的に扱うレビューであり、罹病状態の画像ベース表現型計測が中心です。

Code and data availability

This is a survey article on plant leaf disease detection. It reviews prior studies and mentions third-party datasets (e.g., Plant Village) used by cited works, but provides no paper-specific phenotype datasets, images, code, models, or supplements with availability statements or URLs. No qualifying assets are present,且

No evidence-backed public reproduction asset is currently recorded.