A Review On Detection Of Crop Diseases With The Help OF Image Processing Technique
| Author(s) | : | Mumpy Bhajipale, Sonali Kad, Neha Jagdale, Prof. Pradeep Laturkar |
| Institution | : | DY. Patil School Of Engineering And Technology, Lohegaon, Pune |
| Published In | : | Vol. 3, Issue 12 — December 2016 |
| Page No. | : | 123-127 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The uploaded photos captured by the mobile phones square measure processed within the remote server andbestowed to Associate in Nursing professional cluster for his or her opinion. Laptop vision techniques square measureused for detection of affected spots from the image and their classification. A straightforward color distinction primarilybased approach is followed for segmentation of the unwellness affected lesions. The system permits the professional tojudge the analysis results and supply feedbacks to the famers through a notification to their mobile phones.The goal of this analysis is to develop a picture recognition system that may acknowledge crop diseases. Imageprocessing starts with the digitized color image of unwellness leaf. A way of arithmetic morphology is employed tosegment these pictures. Then texture, form and color options of color image of unwellness spot on leaf were extracted,and a classification technique of membership perform was wont to discriminate between the 3 styles of diseases.
Mumpy Bhajipale, Sonali Kad, Neha Jagdale, Prof. Pradeep Laturkar, “A Review On Detection Of Crop Diseases With The Help OF Image Processing Technique”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 12, pp. 123-127, December 2016.
