Plant disease detection system using Machine Learning
Abstract & Details
Research Area
Computer Engineering
Keywords
Diseased and healthy leaves
SVM classifier
Feature extraction method
Training
Classification.
Abstract
- Crop infections are a vital gamble to food security, but their fast distinctive evidence stays in some in various regions of the planet on account of the non participation of the significant establishment. Rise of precise methods in the field of leaf-based picture characterization has shown amazing outcomes.One of the vital and tedious assignment in agricultural practices is detection of ailment on crops. It calls forlarge time in addition to professional labor. This paper proposes a smart and efficientapproach for detection of crop ailment which makes use ofcomputerimaginative and prescient and machinelearning techniques. The proposed machine is capable to detect 10 different diseases of with 90% accuracy
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Aayushi Choudhary | Institute of Technology and Management |
| 2 | Jyotsana Tripathi | Institute of Technology and Management |
| 3 | Amrita Rai | Institute of Technology and Management |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Choudhary, Aayushi, Tripathi, Jyotsana, & Rai, Amrita (2022). Plant disease detection system using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 683-690.
MLA Style
Choudhary, Aayushi, et al. "Plant disease detection system using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 683-690.
IEEE Style
Aayushi Choudhary, Jyotsana Tripathi, and Amrita Rai, "Plant disease detection system using Machine Learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 683-690, 2022.
Vancouver Style
Choudhary Aayushi, Tripathi Jyotsana, Rai Amrita. Plant disease detection system using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):683-690.
Harvard Style
Choudhary, Aayushi, Tripathi, Jyotsana, & Rai, Amrita (2022) 'Plant disease detection system using Machine Learning', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 683-690.
Chicago Style
Choudhary, Aayushi, Jyotsana Tripathi, and Amrita Rai. "Plant disease detection system using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 683-690.
Turabian Style
Choudhary, Aayushi, Jyotsana Tripathi, and Amrita Rai. "Plant disease detection system using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 683-690.
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