Work

A Concept of Cassava Phytoplasma Disease Monitoring and Mapping System using GIS and SMS Technology

Year: 2019

Type: article

Abstract: Monitoring systems are developed for controlling specific technology implemented in an organization.It basically functions to analyze operations, performance, and provide possible detection and alert in times of problems and difficulties.The convenience of using a monitoring system in detecting and preventing the spread of Cassava Phytoplasma disease (CPD) may be used by farmers to immediately isolate the infected plants to avoid possible spread to other areas of the plantation, thus, possibly alleviating the decrease in production and yields.Monitoring results can prevent or minimize incidents of CPD through early preventive measures.The System Alerts and Notification that reach the user about a certain status with the integration of the Short Message Service (SMS) Technology, and Graphical Visualization in order to facilitate the analysis of the data through Geographic Information System (GIS) graphicalmapping representation.The concept is mainly focused on monitoring, mapping and disseminate preventive measures for CPD and with the addition of the concept of embedded system drone-based image processing for detection and recognition of CPD that serves as the data entry of the system.The integration of the GIS and SMS Technology is well fitted to use in the development and the concept of CPD Monitoring and Mapping System.The concept of GIS makes the monitoring and mapping of CPD readable, predictable, and interactive.Furthermore, the SMS makes wide and flexible dissemination of preventive measures in any categorical aspect group of users.For future studies to be conducted, consider a standard evaluation instrument to foresee the outcome effectiveness of this concept research paper.

Source: International Journal of Advanced Trends in Computer Science and Engineering

DOI: 10.30534/ijatcse/2019/108862019

Author: Irma T. Plata

Institution: Isabela State University

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Industry, innovation and infrastructure

Open Access status: bronze

Funders: Isabela State University, Philippine Council for Agriculture, Aquatic and Natural Resources Research and Development