2015Apple Academic Press eBooksRequires access

Development Of A Web Gis Based Decision Support System For Agriculture Crop Monitoring System

Author information unavailable

Open publisher page 1 citations

Abstract

Abstract .................................................................................................................122 9.1 Introduction .................................................................................................122 9.2 Scope of the Study ......................................................................................123 9.3 Objectives ...................................................................................................124 9.4 Study Area ...................................................................................................125 9.5 Methodology ...............................................................................................125 9.6 Results and Discussions ..............................................................................125 9.7 Proposed Approach for System ...................................................................126 9.8 Facilities Provided by Decision Support System for Agriculture Crop Monitoring ..................................................................................................127 9.9 Summary of Delay Report to Sugar Plant Management .............................127 9.10 Need for the System ....................................................................................128 9.11 Conclusion ..................................................................................................128 Keywords ..............................................................................................................129 References .............................................................................................................129 The success of planning for developmental activities depends on the quality and quantity of information available on both natural and socioeconomic 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 is 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 and 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 tools available in the GIS a web based monitoring system for 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 nontechnical 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.

About this research paper

What this paper is about

Abstract .................................................................................................................122 9.1 Introduction .................................................................................................122 9.2 Scope of the Study ......................................................................................123 9.3 Objectives ...................................................................................................124 9.4 Study Area ...................................................................................................125 9.5 Methodology ...............................................................................................125 9.6 Results and Discussions ..............................................................................125 9.7 Proposed Approach for System ...................................................................126 9.8 Facilities Provided by Decision Support System for Agriculture Crop Monitoring ..................................................................................................127 9.9 Summary of Delay Report to Sugar Plant Management .............................127 9.10 Need for the System ....................................................................................128 9.11 Conclusion ..................................................................................................128 Keywords ..............................................................................................................129 References .............................................................................................................129 The success of planning for developmental activities depends on the quality and quantity of information available on both natural and socioeconomic 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 is 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 and 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 tools available in the GIS a web based monitoring system for 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 nontechnical 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.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract .................................................................................................................122 9.1 Introduction .................................................................................................122 9.2 Scope of the Study ......................................................................................123 9.3 Objectives ...................................................................................................124 9.4 Study Area ...................................................................................................125 9.5 Methodology ...............................................................................................125 9.6 Results and Discussions ..............................................................................125 9.7 Proposed Approach for System ...................................................................126 9.8 Facilities Provided by Decision Support System for Agriculture Crop Monitoring ..................................................................................................127 9.9 Summary of Delay Report to Sugar Plant Management .............................127 9.10 Need for the System ....................................................................................128 9.11 Conclusion ..................................................................................................128 Keywords ..............................................................................................................129 References .............................................................................................................129 The success of planning for developmental activities depends on the quality and quantity of information available on both natural and socioeconomic 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 is 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 and 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 tools available in the GIS a web based monitoring system for 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 nontechnical 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.

Key concepts: Decision support system, Agriculture, Crop, Geographic information system, Computer science, Agroforestry, Remote sensing, Environmental planning

Related papers

Back to paper searchBrowse research topicsOriginal source
Development Of A Web Gis Based Decision Support System For Agriculture Crop Monitoring System — Research Paper | ScholarLens