Machine based Onion plant automated disease detection on based on IOT
Abstract & Details
Research Area
Information technology
Keywords
mage Processing
k-means Clustering
Pattern Recognition
Abstract
The uploaded pictures captured by the mobile phones are processed in the remote server and presented to an expert group for their opinion. Computer vision techniques are used for detection of affected spots from the image and their classification. A simple color difference-based approach is followed for segmentation of the disease affected lesions. The system allows the expert to evaluate the analysis results and provide feedbacks to the famers through a notification to their mobile phones. The goal of this research is to develop an image recognition system that can recognize crop diseases.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Sonal Patil | G.H Rasioni institute of business management college |
| 2 | Gauri pawar | G.H Rasioni institute of business management college |
| 3 | Dipali Pawar | G.H Rasioni institute of business management college |
| 4 | Mansi thakur | G.H Rasioni institute of business management college |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Patil, Sonal, pawar, Gauri, Pawar, Dipali, & thakur, Mansi (2021). Machine based Onion plant automated disease detection on based on IOT. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 472-474.
MLA Style
Patil, Sonal, et al. "Machine based Onion plant automated disease detection on based on IOT." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 472-474.
IEEE Style
Sonal Patil, Gauri pawar, Dipali Pawar, and Mansi thakur, "Machine based Onion plant automated disease detection on based on IOT," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 472-474, 2021.
Vancouver Style
Patil Sonal, pawar Gauri, Pawar Dipali, thakur Mansi. Machine based Onion plant automated disease detection on based on IOT. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):472-474.
Harvard Style
Patil, Sonal, pawar, Gauri, Pawar, Dipali, & thakur, Mansi (2021) 'Machine based Onion plant automated disease detection on based on IOT', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 472-474.
Chicago Style
Patil, Sonal, et al. "Machine based Onion plant automated disease detection on based on IOT." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 472-474.
Turabian Style
Patil, Sonal, et al. "Machine based Onion plant automated disease detection on based on IOT." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 472-474.
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