TY  - CONF
Y1  - 2022///
PB  - Institute of Electrical and Electronics Engineers Inc.
SN  - 9781665489966
A1  - Nordin, M.B.
A1  - Hisham, S.B.B.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148476989&doi=10.1109%2fICOCO56118.2022.10031739&partnerID=40&md5=0ef62535c91f585c163d1d9be9a3bcc3
EP  - 144
AV  - none
N1  - 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
N2  - 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.
ID  - scholars17266
TI  - Detection of Insect Invasion Symptoms on Tree Leaves Using Image Processing
SP  - 141
KW  - Fruits; Fuzzy logic; Image processing; Support vector machines
KW  -  Fuzzy logic clustering; Images processing; Mango trees; Manual inspection; Natural lighting; Producing branches; REmove noise; Support vectors machine; Thrip invasion); Tree leaf
KW  -  K-means clustering
ER  -