Open AccessDrone-based Geographical Information System (GIS) Mapping of Cassava Pythoplasma Disease (CPD) for Precision Agriculture
Author(s) -
Irma T. Plata,
AUTHOR_ID,
Edward B. Panganiban,
Darios B. Alado,
Allan C. Taracatac,
Bryan B. Bartolome,
Freddie Rick E. Labuanan
Publication year - 2022
Publication title -
international journal emerging technology and advanced engineering
Language(s) - English
Resource type - Journals
ISSN - 2250-2459
DOI - 10.46338/ijetae0222_01
Subject(s) - phytoplasma , agriculture , drone , javascript , process (computing) , precision agriculture , geographic information system , computer science , geography , database , cartography , agricultural engineering , world wide web , engineering , biology , botany , polymerase chain reaction , biochemistry , archaeology , gene , restriction fragment length polymorphism , operating system
The development of Drone-based Geographical Information System (GIS) Mapping of Cassava Pythoplasma Disease (CPD) for Precision Agriculture is intended to detect Cassava Phytoplasma Disease. Cassava phytoplasma disease (CPD) is a major danger to the country's cassava sector right now. The Philippines is one of the Asian countries that grow cassava as an agricultural commodity. This initiative delivers unique solutions to help Cassava farmers in the region solve their challenges. The researchers developed the system using the Rapid Application Development (RAD) Methodology as a guide. The system's process flow was conceptualized using Data Flow Diagramming. The methods used in the detection process are Pixel Intensity, Color Intensity, and Ratio and Coordinates Plotting using Raw Data and Featured Layer. The development of the Drone-based Geographical Information System (GIS) Mapping of Cassava Pythoplasma Disease (CPD) for Precision Agriculture is an effective and innovative tool in detecting CPD in order to prevent the spread of the disease. The implementation of the developed system addressed the current needs of the partner agency in monitoring and preventing the occurrence of the CPD in their cassava plantation. Visual Imaging of CPD Heat Map Using Arc GIS JavaScript API was an effective tool in detecting the presence of Cassava Phytoplasma disease in cassava plantation using the different techniques and methodologies Keywords — ARC GIS, Heat Map, JAVA Script, Visual Imaging, Web-based system