DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT |
 Journal Home Volume Issue |
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Issue |
Volume-10,Issue-3 ( Jul, 2022 ) | |||||||||
Paper Title |
Study an Image Processing based Approach to Identification of Banana Plant Disease using DIY Built F450 Drone | |||||||||
Author Name |
Aravinthara Kumaran, Balu Ramu | |||||||||
Affilition |
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Pages |
146-152 | |||||||||
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 | |||||||||
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