1. Analysis, detection, and classify of diseases on the plant using edge detection and image processing technique
Authors : Shubham Sharma, Anish Lazrus
Pages : 164-170
DOI : http://dx.doi.org/10.21172/1.171.23
Keywords : Spot diseases, cotton plant, Image processing, edge detection, plat disease. Abstract :This paper presents a methods using digital image processing techniques to identify, measure, and classify plant diseases in the visible spectrum from digital images. Fungicaused bugs on plant leaves are the most common diseases which appear as spots on plant leaves. This, if not treated at the right time, may lead to severe loss. Here in Ghana and other parts of the world, farmers incur huge losses due to diseases that attack their farm produce. Apart from the damage to farmers, extreme use of fungicides and pesticides for plant diseases increases the cost of production and can also pollute our physical environment; therefore, there is the need to minimize their use. To achieve this, the diseased areas must be targeted by applying the rightful quantity and concentration of fungicides and pesticides by estimating the severity of the disease using image processing methods, and The selected proposals are divided into three groups according to their aim: identiï¬cation, quantiï¬cation of gravity, and classiï¬cation. Generally, the study seeks to measure the extent to which fungi caused diseases to affect plants most especially, plant leaves. Speciï¬cally, the study aims to: Detect and identify fungi caused infections on a plant leaf, Quantify and measure the severity of the fungi caused disease on plant leaves, Suggest the appropriate quantity and concentration of fungicides to use on plant leaves based on the disease severity.
Citing this Journal Article :Shubham Sharma, Anish Lazrus, "Analysis, detection, and classify of diseases on the plant using edge detection and image processing technique", Volume 17 Issue 1 - July 2020, 164-170
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