Digital Image Processing for Detecting and Classifying Plant Diseases

Author:

A. Izay,L. N. Onyejegbu

Abstract

Agriculture is the backbone of human sustenance in this world. With growing population, there is need for increased productivity in agriculture to be able to meet the demands. Diseases can occur on any part of a plant, but in this paper only the symptoms in the fruits of a plant is considered using segmentation algorithm and edge/ sizing detectors. We also looked at image processing using fuzzy logic controller. The system was designed using object oriented analysis and design methodology. It was implemented using MySQL for the database, and PHP programming language. This system will be of great benefit to farmers and will encourage them in investing their resources since crop diseases can be detected and eliminated early.

Publisher

Computer Science Laboratory Press

Subject

General Medicine

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Geospatial Object Detection in Hyperspectral Imagery Using Spectral-Spatial Networks;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14

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3. Potato Plant Leaf Disease Detection and Recognition Using R-CNN Model;2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN);2023-06

4. Rice Leaf Disease Prediction Using Machine Learning;2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T);2022-03-01

5. Automatic Diagnosis of Olive Quick Decline Syndrome and Grapevine Yellows for the Agriculture Industry;2019 Second International Conference on Artificial Intelligence for Industries (AI4I);2019-09

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