Machine Learning for Plant Leaf Disease Detection and Classification
Abstract & Details
Research Area
Computer Engineering
Keywords
Machine Learning
Leaf Dieses Detection
Languages and compilers
and Optimization
Image Processing
Abstract
It is not always possible for the farmers to predict the situation that can arise and their prediction can fail. The main reason is the plant disease. So to assist the farmers in safeguarding the plants from diseases becomes the motivation. The majority of the researchers have identified that leaf images play a crucial role in the automatic detection of plant diseases. Currently, various advancement techniques are used in automatic disease detection of plants such as Machine Learning, Deep Learning, Computer Vision, Internet of Things (IoT), Expert Systems. The purpose of this system is to detection leaf disease using the machine learning technique based on Healthy and Unhealthy Image Dataset for processing the plant leaf image to detect diseases
License
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Commons
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Asharfali Shaikh | Padmashri Dr. Vitthalrao Vikhe Patil Institute of Technology and Engineering (Polytechnic), Pravaranagar (Loni) |
| 2 | Tejas Nirmal | Padmashri Dr. Vitthalrao Vikhe Patil Institute of Technology and Engineering (Polytechnic), Pravaranagar (Loni) |
| 3 | Santosh Gaikwad | Padmashri Dr. Vitthalrao Vikhe Patil Institute of Technology and Engineering (Polytechnic), Pravaranagar (Loni) |
| 4 | Tejas More | Padmashri Dr. Vitthalrao Vikhe Patil Institute of Technology and Engineering (Polytechnic), Pravaranagar (Loni) |
| 5 | Parth Suryawanshi | Padmashri Dr. Vitthalrao Vikhe Patil Institute of Technology and Engineering (Polytechnic), Pravaranagar (Loni) |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Shaikh, Asharfali, Nirmal, Tejas, Gaikwad, Santosh, More, Tejas, & Suryawanshi, Parth (2023). Machine Learning for Plant Leaf Disease Detection and Classification. International Journal of Advance Research and Innovative Ideas In Education, 9(2), 2120-2123.
MLA Style
Shaikh, Asharfali, et al. "Machine Learning for Plant Leaf Disease Detection and Classification." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, 2023, pp. 2120-2123.
IEEE Style
Asharfali Shaikh, Tejas Nirmal, Santosh Gaikwad, Tejas More, and Parth Suryawanshi, "Machine Learning for Plant Leaf Disease Detection and Classification," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, pp. 2120-2123, 2023.
Vancouver Style
Shaikh Asharfali, Nirmal Tejas, Gaikwad Santosh, More Tejas, Suryawanshi Parth. Machine Learning for Plant Leaf Disease Detection and Classification. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(2):2120-2123.
Harvard Style
Shaikh, Asharfali, Nirmal, Tejas, Gaikwad, Santosh, More, Tejas, & Suryawanshi, Parth (2023) 'Machine Learning for Plant Leaf Disease Detection and Classification', International Journal of Advance Research and Innovative Ideas In Education, 9(2), pp. 2120-2123.
Chicago Style
Shaikh, Asharfali, et al. "Machine Learning for Plant Leaf Disease Detection and Classification." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 2120-2123.
Turabian Style
Shaikh, Asharfali, et al. "Machine Learning for Plant Leaf Disease Detection and Classification." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 2120-2123.
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