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An Intelligent Detection and Identification System for Crop Pests and Diseases Based on YOLOv8

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Volume-9 | Issue-6

Last date : 27-Dec-2025

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An Intelligent Detection and Identification System for Crop Pests and Diseases Based on YOLOv8


Chen Yuxuan | Liu Fangbin | Gao Jian



Chen Yuxuan | Liu Fangbin | Gao Jian "An Intelligent Detection and Identification System for Crop Pests and Diseases Based on YOLOv8" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-6, December 2025, pp.9-13, URL: https://www.ijtsrd.com/papers/ijtsrd98709.pdf

Addressing the limitations of traditional manual detection for crop pests and diseases, such as its subjectivity and low efficiency, this study designs and implements an intelligent detection and identification system based on the YOLOv8 algorithm to enhance the automation and accuracy of field diagnosis. The system adopts a modular architecture, encompassing input/output, data preprocessing, model training and optimization, pest/disease identification and localization, and a user interface module. The data preprocessing module generates high-quality training sets through image annotation and data augmentation, laying the foundation for model performance. The model training module incorporates various optimization strategies to enhance detection capabilities. The identification module can output the category, confidence, and location information of pests and diseases in real-time. Experimental results demonstrate that the system performs excellently in multi-class pest and disease identification tasks, exhibiting high reliability and strong practical utility. It provides technical support for agricultural pest and disease control and holds broad prospects for widespread adoption.

YOLOv8 algorithm; crop pests and diseases; intelligent detection and identification system; object detection; deep learning.


IJTSRD98709
Volume-9 | Issue-6, December 2025
9-13
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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