Experimental Study on a Smart Phone Image Processing Application for Plant Disease Diagnosis |
Author(s): |
| Shalaka Barangule , College of Engineering Osmanabad; Dr. Sushilkumar N Holambe, College of Engineering Osmanabad; Dr. Vikramsinha V Mane, College of Engineering Osmanabad |
Keywords: |
| `Smart Phone, Image Processing, Application, Plant Disease Diagnosis |
Abstract |
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Agri technologists are in charge of recognizing plant illnesses, and segmentation techniques may be utilized to diagnose them early on. Knowledge bases for this objective have been presented in this research, and they are frequently based on facts selected by the customer or image analysis of plant pictures in visible, ultraviolet, and other light wavelengths. Indications such as blisters or spots in multiple regions of a plant may frequently be used to diagnose a disease. The color, size, and quantity of these spots can all help pinpoint the illness that has killed a plant. Here's a description of a Mobile phone application that can identify illnesses from photographs of leaf surface with an efficiency of more than 93%. This software may easily be customized to work with a variety of plant illnesses and smart phone technologies. |
Other Details |
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Paper ID: IJSRDV9I60181 Published in: Volume : 9, Issue : 6 Publication Date: 01/09/2021 Page(s): 234-236 |
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