A Web GIS Based Decision Support System for Agriculture Crop Monitoring System-A Case Study from Part of Medak District
- *Corresponding Author:
- Dr. Santosh Kumar K
Associate Professor, H&S, Methodist college of Engineering and Technology
King Koti, Abids, Hyderabad, Telangana, India
E-mail: [email protected]
Received Date: October 22, 2016; Accepted Date: November 14, 2016; Published Date: November 16, 2016
Citation: Kumar SK, Babu SDB (2016) A Web GIS Based Decision Support System for Agriculture Crop Monitoring System-A Case Study from Part of Medak District. J Remote Sensing & GIS 5:177. doi: 10.4172/2469-4134.1000177
Copyright: © 2016 Kumar SK, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The success of planning for developmental activities depends on the quality and quantity of information available on both natural and socio-economic resources. It is, therefore, essential to devise the ways and means of organizing computerized information system. These systems must be capable of handling vast amount of data collected by modern techniques and produce up to date information. Remote sensing technology has already demonstrated its capabilities to provide information on natural resources such as crop, land use, soils, forest etc., on regular basis. The role of remote sensing and GIS in agricultural applications can be broadly categorized into two groups-inventorying/mapping and management. While remote sensing data alone are mostly used for, inventorying, crop acreage estimation, crop condition assessment, crop yield forecasting, soil mapping, etc., purposes, the management related activities like irrigation management, cropping system analysis, precision farming, etc., needs various other types of spatial physical! Environmental information. The latter has to be integrated with remote sensing data, where the functionality of GIS will be used. In the present study, techniques of remote sensing and Geographic Information System (GIS) have been used to monitor and map the Sugarcane crop at farm level. The Quick bird data of 60 cm resolution was acquired and was geometrically corrected and georeferenced for subsequent processing and analysis using Digital Image Processing (DIP) and GIS. After the generation of the thematic layers at farm level using GIS, using the various customization tolls available in the GIS a web based monitoring system for the sugarcane has been prepared. This monitoring system helps the decision makers to take appropriate decisions in order to increase the crop production and other activities related to the crop. The Web GIS helps the non-technical users to access the information and take appropriate measures to improve the crop production. These user-friendly systems need to be developed and made simple in order to take the technology from the scientific community to the common man.