Paper ID Title Keywords Author/s Affiliation Email 80 Smart Pest Identification and Management System Using Drone for Mango Farming Mango farming, multiclass support vector machine, gray-level co-occurrence matrix, pest management, mobile app, drone technology Gina S. Tumang, Giselle Y. Ayson, Patrick G. Zabala, Miguel S. Puno Department of Computer Engineering, Holy Angel University gtumang@hau.edu.ph Abstract This study assists the farmers by automatically identifying the pest through leaf and fruit markings with mobile and web application that generates pest prevention and control. It also foresees weather using API for location-based weather prediction in crop management specifically in pesticide application. The used of the drone technology helps to capture images of leaves at a high altitude. Using multi-SVM and GLCM in MATLAB, pest identification was determined by extracting contrast, kurtosis, skewness, entropy, and RMS. This project provides innovations on pest management of mango farms by storing data that can be used for future decisions through analytics.
Paper ID Title Keywords Author/s Affiliation Email 80 Smart Pest Identification and Management System Using Drone for Mango Farming Mango farming, multiclass support vector machine, gray-level co-occurrence matrix, pest management, mobile app, drone technology Gina S. Tumang, Giselle Y. Ayson, Patrick G. Zabala, Miguel S. Puno Department of Computer Engineering, Holy Angel University gtumang@hau.edu.ph Abstract This study assists the farmers by automatically identifying the pest through leaf and fruit markings with mobile and web application that generates pest prevention and control. It also foresees weather using API for location-based weather prediction in crop management specifically in pesticide application. The used of the drone technology helps to capture images of leaves at a high altitude. Using multi-SVM and GLCM in MATLAB, pest identification was determined by extracting contrast, kurtosis, skewness, entropy, and RMS. This project provides innovations on pest management of mango farms by storing data that can be used for future decisions through analytics.
Chapter2: Computers: The Machines Behind Computing
Section: Chapter Questions
Problem 6P
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