Matlab Code for pests and disease identificatio in fruits

SKU: PAN_IPM_093 Categories: ,
Ask For Price


In this project,mango farmers by identifying the pests and diseases through leaf and fruit markings in enhancing crop management specifically in pesticide application, addressing one of the main factors of the major decline in Philippines’ mango production, which is due to pests and the farmer’s uncertainty in using pesticide for each occurrence of pest.

Anthracnose, fruit borer and sooty mold were identified using image processing employing multi-SVM and GLCM with high accuracy.

It was determined by extracting contrast, kurtosis, skewness, and entropy. This project can be used as a template for other fruit-bearing trees and a basis for crop management per location-based specifically on mango farming using data science.

Customer Reviews

There are no reviews yet.

Be the first to review “Matlab Code for pests and disease identificatio in fruits”

Your email address will not be published. Required fields are marked *