Identification of Plant Disease and Wetness/Dryness Detection


Authors : Dr. B. Swaminathan, B.Nivetha, G.Nadarajan, S.Nagarajan

Volume/Issue : Volume 5 - 2020, Issue 3 - March

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/33R5V11

Plant diseases have become a major problem because it can considerably have an effect on both the quantity and quality of the agricultural products. It is very hard to identify and treat the plant disease with traditional methods. Automatic detection of plant diseases, growth of leaf and color change is an important research topic because it detects the symptoms of plant diseases as quickly as they are present on the leaves and helps in monitoring large fields of crops. Image processing techniques are used to solve the problem of identifying and extracting the affected plant parts in an effective manner. The proposed system gives a software solution for detecting the leaf disease, growth and color change.

Keywords : Classification, Feature Extraction, Plant Disease Detection, Segmentation, Neural Network.

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