Plant Leaf Disease Detection using Deep Learning: A Review

Abstract

To maintain the ecosystem of the environment major role is played by the plants. India largely depends on agriculture which is one of the major sectors in Indian economy. Majority of people are dependent on it to sustain themselves. Due to lack of technical knowledge and resources farmers recognize the plant disease by observing certain unusual patterns, colors, physical appearance etc. Sometimes expertise is required to detect plant infection and abnormalities which is a tedious process. Due to certain disease when the leaves of the plants are infected, production is reduced and also the quality of the food is also affected. The aim is to study different types of plants diseases and how these diseases can be detected by using modern advanced machines and techniques. Automation can help in early-stage disease detection stage which in turn helps to avert any further damage to the plant. Over the past few years, many promising technology and techniques have been launched that provides state-of-art solutions to modernize the agriculture sector and improve the quality and yield of the crops. Modern concept of smart farming provides agriculture sector with more efficient and effective planting system with the help of high precision algorithm. Efficient techniques lead to greater yields which keeps the population happy and healthy.

Plant phenotyping relevance

植物葉の病徴・異常を画像等から検出する手法を対象としたレビューであり、病害状態という植物表現型の取得・推定が中心です。

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