A SURVEY ON PLANT LEAF DISEASE DETECTION USING MACHINE LEARNING

Yashwanth N; Mr.Raghuram A S; Panchami C H; Pavan V; Sneha B

A SURVEY ON PLANT LEAF DISEASE DETECTION USING MACHINE LEARNING

May 2024

Vol-10, Issue-3

Paper ID: 23913

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science and Engineering

Keywords

Deep learning Convolutional neural networks (CNNs) image classification.

Abstract

The field of agriculture plays a significant role in our lives and is the backbone of our economy. Proper management can result in profitable agricultural production. However, farmers often lack the expertise to identify and address leaf diseases, which can lead to lower production levels. Detecting plant leaf diseases is crucial because the success of agricultural production depends on it. A deep Convolutional Neural Network (CNN) is a potential solution for detecting and classifying plant leaf diseases. The main objective of this research is to detect plant leaf diseases by monitoring large fields of crops and automatically identifying the symptoms of diseases to provide timely medical treatment. In this study, we compare a proposed deep CNN model with a popular transfer learning approach, VGG16. Plant leaf disease detection has a wide range of applications in various fields, including biological research and agriculture institutes. It is also an essential research topic as it can prove beneficial in monitoring large fields of crops and detecting the symptoms of diseases as soon as they appear on plant leaves.

License

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Author Information

#	Name	Institute / Affiliation
1	Yashwanth N	ATME COLLEGE OF ENGINEERING MYSORE
2	Mr.Raghuram A S	ATME COLLEGE OF ENGINEERING MYSORE
3	Panchami C H	ATME COLLEGE OF ENGINEERING MYSORE
4	Pavan V	ATME COLLEGE OF ENGINEERING MYSORE
5	Sneha B	ATME COLLEGE OF ENGINEERING MYSORE

How to Cite

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

APA Style

N, Yashwanth, S, Mr.Raghuram A, H, Panchami C, V, Pavan, & B, Sneha (2024). A SURVEY ON PLANT LEAF DISEASE DETECTION USING MACHINE LEARNING. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 2033-2040.

MLA Style

N, Yashwanth, et al. "A SURVEY ON PLANT LEAF DISEASE DETECTION USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 2033-2040.

IEEE Style

Yashwanth N, Mr.Raghuram A S, Panchami C H, Pavan V, and Sneha B, "A SURVEY ON PLANT LEAF DISEASE DETECTION USING MACHINE LEARNING," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 2033-2040, 2024.

Vancouver Style

N Yashwanth, S Mr.Raghuram A, H Panchami C, V Pavan, B Sneha. A SURVEY ON PLANT LEAF DISEASE DETECTION USING MACHINE LEARNING. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):2033-2040.

Harvard Style

N, Yashwanth, S, Mr.Raghuram A, H, Panchami C, V, Pavan, & B, Sneha (2024) 'A SURVEY ON PLANT LEAF DISEASE DETECTION USING MACHINE LEARNING', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 2033-2040.

Chicago Style

N, Yashwanth, et al. "A SURVEY ON PLANT LEAF DISEASE DETECTION USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 2033-2040.

Turabian Style

N, Yashwanth, et al. "A SURVEY ON PLANT LEAF DISEASE DETECTION USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 2033-2040.