Plant Disease Prediction System Using Machine Learning

S, SNEHA; B, SUBASHINI; R, SRI VARSHINI

doi:https://doi.org/10.55041/ijcope.v2i5.741

Volume 02, Issue 05

Published on: May 2026

PLANT DISEASE PREDICTION SYSTEM USING MACHINE LEARNING

SNEHA S SUBASHINI B SRI VARSHINI R

KANAGADURGA N

Department of Computer Science and Engineering, E.G.S.Pillay Engineering College, Nagapattinam, Tamilnadu, India

DOI:https://doi.org/10.55041/ijcope.v2i5.741

Article Status

Plagiarism Passed Peer Reviewed Open Access

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Abstract

Agriculture is an important sector for food production and economic growth. Plant diseases reduce crop quality and productivity, causing financial loss to farmers. This project proposes a Real-Time Plant Disease Detection System using Deep Learning techniques. Users can upload plant leaf images through a website, and the system analyzes the image using CNN and MobileNetV2 models to detect whether the leaf is healthy or diseased. The system provides fast and accurate disease prediction along with remedy suggestions for farmers.

Keywords: Deep Learning, CNN, MobileNetV2, Plant Disease Detection, Machine Learning, Smart Agriculture.

How to Cite this Paper

S, S., B, S. & R, S. V. (2026). Plant Disease Prediction System Using Machine Learning. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.741

S, SNEHA, et al.. "Plant Disease Prediction System Using Machine Learning." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.741.

S, SNEHA,SUBASHINI B, and SRI R. "Plant Disease Prediction System Using Machine Learning." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.741.

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References

Akash Arya & Pankaj Kumar Mishra, “MobileNetV2-Based Plant Disease Classification,” 2024.

Huan Wang et al., “Plant Disease Detection Using Attention MobileNetV2,” 2023.

Volkan Yamaçli & M. K. Yildirim, “Plant Disease Detection Using MobileNetV2 and Xception,” 2024.

Quan et al., “Lightweight Model for Plant Disease Identification,” 2023.

Rohan Tiwari & Neha Vora, “Paddy Leaf Disease Classification Using CNN,” 2024.

Teddy Aristan & Gede Putra Kusuma, “CNN Models for Plant Disease Detection,” 2023.

Ethical Compliance & Review Process

•All submissions are screened under plagiarism detection.
•Review follows editorial policy.
•Authors retain copyright.
•Peer Review Type: Double-Blind Peer Review
•Published on: May 25 2026

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