An Exploration On Plant Disease Detection
This research examines the possibility of methodologies for detecting plant disease detection systems that contribute in agricultural improvement and consists of several processes, such as image acquisition, image segmentation, feature extraction, and classification.
Abstract
Plant diseases cause significant losses in agricultural productivity, economics, quality, and quantity. To avoid such diseases, plants must be observed from the beginning of their life cycle. Human eye observation is the most common method for this monitoring, but it is time-consuming and demands a high level of competence. As a result, in order to make this operation easier, the disease detection system must be automated. Image processing techniques are used to construct the disease detection system. Many researchers have designed systems depending on multiple image processing approaches. This research examines the possibility of methodologies for detecting plant disease detection systems that contribute in agricultural improvement. It consists of several processes,such as image acquisition, image segmentation, feature extraction, and classification