Advertisement
Published in:
2023 | OriginalPaper | Chapter
Plant Disease Detection Using Image Processing Methods in Agriculture Sector
Authors : Bibhu Santosh Behera, K. S. S. Rakesh, Patrick Kalifungwa, Priya Ranjan Sahoo, Maheswata Samal, Rakesh Kumar Sahu
Published in: Intelligent Communication Technologies and Virtual Mobile Networks
Publisher: Springer Nature Singapore
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
Agriculture serves as the backbone of a country’s economy and is vital. Various tactics are being implemented in order to maintain awareness of good and disease-free yield creation. In the rural areas, steps are being done to aid ranchers with the best kind of insect sprays and pesticides. In a harvest, disease usually affects the leaves, causing the crop to lack proper nutrients and, as a result, its quality and quantity to suffer. In this study, we use programming to recognise the impacted region in a leaf organically and provide it with a better arrangement. We use several image processing algorithms to determine the impacted region of a leaf. It consists of several steps, including the acquisition of images. It consists of many processes, including image acquisition, image pre-processing, division, and highlights extraction.