Grape Leaf Diseases Detection Classification Using Machine Learning

March 2022
Vol-8, Issue-2
Paper ID: 16201
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Information technology
Keywords
Smart Agriculture Plant Disease Detection and Classification Machine Learning and Transfer Learning
Abstract
Grapevine diseases and pets could cause significant financial losses to grape production and farmers if not detected and treated early. With the recent advance of artificial intelligence techniques and machine learning technologies, people start to use computer vision and deep learning algorithms to detect and classify grapevine diseases with high efficiency. In this paper, four modified deep learning models are developed for grape leaf disease detection and classification based on a developed grape leaf dataset.

Author Information

# Name Institute / Affiliation
1 Patil Saurabh Rajendra Pravara Rural Engineering college Loni
2 Harde Manjusha Rohidas Pravara Rural Engineering college Loni
3 Shelke Aishwarya Kiran Pravara Rural Engineering college Loni
4 Pawade Gayatri Vilas Pravara Rural Engineering college Loni
5 Prof. Y. D. Varpe Pravara Rural Engineering college Loni

How to Cite

Use the following formats to cite this article in your research.

APA Style
Rajendra, Patil Saurabh, Rohidas, Harde Manjusha, Kiran, Shelke Aishwarya, Vilas, Pawade Gayatri, & Varpe, Prof. Y. D. (2022). Grape Leaf Diseases Detection Classification Using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education, 8(2), 470-472.
MLA Style
Rajendra, Patil Saurabh, et al. "Grape Leaf Diseases Detection Classification Using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 2, 2022, pp. 470-472.
IEEE Style
Patil Saurabh Rajendra, Harde Manjusha Rohidas, Shelke Aishwarya Kiran, Pawade Gayatri Vilas, and Prof. Y. D. Varpe, "Grape Leaf Diseases Detection Classification Using Machine Learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 2, pp. 470-472, 2022.
Vancouver Style
Rajendra Patil Saurabh, Rohidas Harde Manjusha, Kiran Shelke Aishwarya, Vilas Pawade Gayatri, Varpe Prof. Y. D.. Grape Leaf Diseases Detection Classification Using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(2):470-472.
Harvard Style
Rajendra, Patil Saurabh, Rohidas, Harde Manjusha, Kiran, Shelke Aishwarya, Vilas, Pawade Gayatri, & Varpe, Prof. Y. D. (2022) 'Grape Leaf Diseases Detection Classification Using Machine Learning', International Journal of Advance Research and Innovative Ideas In Education, 8(2), pp. 470-472.
Chicago Style
Rajendra, Patil Saurabh, et al. "Grape Leaf Diseases Detection Classification Using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 8, no. 2 (2022): 470-472.
Turabian Style
Rajendra, Patil Saurabh, et al. "Grape Leaf Diseases Detection Classification Using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 8, no. 2 (2022): 470-472.

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