PLANT LEAF DISEASE DETECTION USING DEEP LEARNING

Abstract

Deep learning is a branch of artificial intelligence.With the benefits of autonomous learning and feature extraction, it has received a lot of attention in recent years from both academic and professional circles.The latest improvements in computer vision formulated through deep learning have paved the method for how to detect and diagnose disease in plants by using a camera to capture image as a basis for recognizing several types of plant disease This system provides an efficient solution for detecting multiple disease in several plants The system is designed to recognize several plant leaf diseases in plants like Maize, Mango, Chickpea, Rice, Cotton, Banana, Watermelon etc.

Plant phenotyping relevance

植物葉の画像を用いて深層学習で病害を検出・診断する手法が研究の中心であり、植物の病害状態を直接推定するため、植物フェノタイピング手法に該当します。

Code and data availability

The paper describes a CNN-based plant leaf disease detection system but provides no named dataset, no author code/model availability statement, and no public URLs or identifiers. The vague mention of collecting data from a 'publicly available repository' is unactionable without a name or link.

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