%O cited By 0; Conference of 2022 IEEE International Conference on Computing, ICOCO 2022 ; Conference Date: 14 November 2022 Through 16 November 2022; Conference Code:186566
%J 2022 IEEE International Conference on Computing, ICOCO 2022
%L scholars17266
%D 2022
%R 10.1109/ICOCO56118.2022.10031739
%K Fruits; Fuzzy logic; Image processing; Support vector machines, Fuzzy logic clustering; Images processing; Mango trees; Manual inspection; Natural lighting; Producing branches; REmove noise; Support vectors machine; Thrip invasion); Tree leaf, K-means clustering
%X This project aims to help farmers in Lumut, Perak to combat thrips invasion on mango trees. It would help reduce loss of fruit-producing branches, manual inspections, and the need to cover large acres of land manually. Data was collected by using a Canon DSLR camera at lm distance in natural lighting and uncontrolled background. Images of healthy and diseased new leaves are pre-processed to remove noise. Masking and thresholding using a range of intensity values are used to remove the background. After that, the images were clustered using Fuzzy C-Means clustering. It was found that this method was more suitable than K-Means clustering as it uses a soft clustering approach. The images obtained were then classified using Support Vector Machine (SVM). An average classification accuracy of 9S.52 was achieved. © 2022 IEEE.
%P 141-144
%T Detection of Insect Invasion Symptoms on Tree Leaves Using Image Processing
%A M.B. Nordin
%A S.B.B. Hisham
%I Institute of Electrical and Electronics Engineers Inc.