Plant Disease Detection using AI Techniques |
Author(s): |
| Pandiselvi V , Mahendra Engineering College, Namakkal ; Sindhuja D, Mahendra Engineering College, Namakkal; Deepa G, Mahendra Engineering College, Namakkal; Priyadharshini G S, Mahendra Engineering College, Namakkal |
Keywords: |
| Pathogen, Features, Preprocessing, Training |
Abstract |
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Agricultural productivity is something on which economically highly depends. This is the one of the reasons that detection of disease on the plants plays a major role in agriculture field. The identification of disease on the plant is a very important key to prevent a heavy loss of yield and the quantity of agriculture product. The symptoms can be observed on the parts of the plant such as leaf, stems, lesion and fruits. The leaf shows the symptoms by changing the original color, showing the spots on it. The disease detection is done by manual observation and pathogen detection which can consume more time and may prove costly. The aim of the project is to identify and classify the disease accurately from the leaf images and provide the solution for it. The steps required in the process are pre-processing, training, identification and solution providing. |
Other Details |
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Paper ID: IJSRDV7I120203 Published in: Volume : 7, Issue : 12 Publication Date: 01/03/2020 Page(s): 84-86 |
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