The Different Techniques for Detection of Plant Leaves Diseases

Abstract

As we know that Plant disease detection is an interesting field. Plants are the way to live. In our daily life we are completely dependent on plants. There by plants should be taken care. In most of the studies it is been shown that quality of agricultural products shall be reduced due to various components. The plant diseases are such as bacteria, viruses and fungi. The disease in plant leaf restricts the growth of the plant and also destroys its yield. Every time there is the need of expert to identify plant diseases but manual identification is expensive and also time consuming. So, automatic methods are necessary for detection of disease. Through this paper, we have presented a survey on the different methods of plant leaf disease detection.

Plant phenotyping relevance

植物葉の病害を自動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・推定方法が中心である。

Code and data availability

This survey-style paper describes plant leaf disease detection methods and a CNN pipeline using ~15000 internet-sourced images, but provides no public dataset URL, code deposit, model checkpoint, or supplement with paper-specific assets. No availability statements or authors' public links appear in any block.

No evidence-backed public reproduction asset is currently recorded.