Paper Title :Study an Image Processing based Approach to Identification of Banana Plant Disease using DIY Built F450 Drone

Author :Aravinthara Kumaran, Balu Ramu

Article Citation :Aravinthara Kumaran ,Balu Ramu , (2022 ) " Study an Image Processing based Approach to Identification of Banana Plant Disease using DIY Built F450 Drone " , International Journal of Advances in Science, Engineering and Technology(IJASEAT) , pp. 146-152, Volume-10,Issue-3

Abstract : Abstract - In this research paper is an image processing-based approach is being proposed and used for banana plant disease detection and locating using Aruco Marker ID tags and a DIY-Built F450 Drone at very low cost. Author tests our results on three diseases which effect on banana crops; they are: Cordana, Pestalotiopsis and Sigatoka. The proposed approach is image processing based and is much supported Convolutional Neural Network (CNN) adopting AlexNet Architecture. The approach consists of 6 main phases; capturing images of plants with their individual Aruco Tag ID to Google Drive database from drone, data pre-processing, images are segmented using RGB to HSI conversion, applying mask to K-means clustering on the images, extracting feature from data and training Neural Network Model. Keywords - Neural Network, Convolutional Neural Network, Plant Disease, Image Processing

Type : Research paper

Published : Volume-10,Issue-3

	|		PDF	|	Viewed - 3366	|	Published on 2022-12-09