A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE

Aditya Pal; Prof Chethana C; Innamuri sreelasya; Chandana G R; Aditya Gour

A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE

April 2024

Vol-10, Issue-2

Paper ID: 23172

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

Convolution Neural Network Potato plant machine learning Disease detection

Abstract

Agriculture is the backbone of our nation. A significant portion of the Indian economy, accounting for 17% of the nation's GDP, is employed in agriculture, where 58% of the population works. One of the most extensively consumed crops, potatoes are affected by a wide range of illnesses. There are obvious diseases present in the leaf area of this plant. Farmers now have less work to do since deep learning models have produced technologies that boost agricultural output rates and lower plant disease infestation. The diseases of potato plants, including Early Blight (EB) and Late Blight (LB), are covered in detail in this paper, with an emphasis on the many machine-learning models used to treat these problems. The results of this investigation confirm that Convolutional Neural Networks (CNN) are more accurate in identifying diseases than any other alternative methods for detection.

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Author Information

#	Name	Institute / Affiliation
1	Aditya Pal	BMS Institute of Technology and Management Bangalore, Karnataka,India
2	Prof Chethana C	BMS Institute of Technology and Management Bangalore, Karnataka,India
3	Innamuri sreelasya	BMS Institute of Technology and Management Bangalore, Karnataka,India
4	Chandana G R	BMS Institute of Technology and Management Bangalore, Karnataka,India
5	Aditya Gour	BMS Institute of Technology and Management Bangalore, Karnataka,India

How to Cite

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

APA Style

Pal, Aditya, C, Prof Chethana, sreelasya, Innamuri, R, Chandana G, & Gour, Aditya (2024). A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 3209-3217.

MLA Style

Pal, Aditya, et al. "A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 3209-3217.

IEEE Style

Aditya Pal, Prof Chethana C, Innamuri sreelasya, Chandana G R, and Aditya Gour, "A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 3209-3217, 2024.

Vancouver Style

Pal Aditya, C Prof Chethana, sreelasya Innamuri, R Chandana G, Gour Aditya. A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):3209-3217.

Harvard Style

Pal, Aditya, C, Prof Chethana, sreelasya, Innamuri, R, Chandana G, & Gour, Aditya (2024) 'A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 3209-3217.

Chicago Style

Pal, Aditya, et al. "A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 3209-3217.

Turabian Style

Pal, Aditya, et al. "A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 3209-3217.