← Back to Archives
This work is licensed under a Creative Commons Attribution 4.0 International License.
Study of Feature Extraction Techniques for the Detection of Diseases of Agricultural Products
Downloads: Download PDF
π 2 viewsπ₯ 0 downloads
Abstract:
This article describes the feature extraction methods for crop and fruit diseases based on computer image processing in detail. Crop and fruit diseases are most important agricultural products. In order to obtain more value added products, a proper quality control is essentially required. There are various applications claimed to extract the accurate information from the coloured image database. The main purpose of this paper is to provide an interface for digitally illiterate users, especially farmers to efficiently and effectively retrieve information through internet. In addition, to enable the farmers to identify the disease in their crop, its causes and symptoms using image processing without classical approach and identify the disease.
Keywords:
Image Processing, Feature Extraction, Crop and Fruit Diseases, Quality Control, Classical approach.
How to Cite:
[1] Priya P., Dony A. Dβsouza, βStudy of Feature Extraction Techniques for the Detection of Diseases of Agricultural Products,β International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE)
