2007Unpublished venueRequires access

Development of web-based decision support system for field-based crop management

Zongyao Sha, Minghua Zhang

Open publisher page 4 citations

Abstract

A web-based decision support system, GZ-AgriGIS, was developed to assist local farmers in the region of Guangzhou, China make field-based crop management decisions, e.g. fertilizer applications (replacement) and irrigation. The system was aimed to share available site-specific agricultural domain knowledge and analytical models with the local farmers. The representation of domain knowledge and organization of analytical models were outlined. Considering the micro-environmental variations of the region, we paid special attention to the spatial suitability of domain knowledge and analytical models. Through the online service of GZ-AgriGIS, farmers can easily acquire scientific guidance for crop management decisions.

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What this paper is about

A web-based decision support system, GZ-AgriGIS, was developed to assist local farmers in the region of Guangzhou, China make field-based crop management decisions, e.g. fertilizer applications (replacement) and irrigation. The system was aimed to share available site-specific agricultural domain knowledge and analytical models with the local farmers. The representation of domain knowledge and organization of analytical models were outlined. Considering the micro-environmental variations of the region, we paid special attention to the spatial suitability of domain knowledge and analytical models. Through the online service of GZ-AgriGIS, farmers can easily acquire scientific guidance for crop management decisions.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A web-based decision support system, GZ-AgriGIS, was developed to assist local farmers in the region of Guangzhou, China make field-based crop management decisions, e.g. fertilizer applications (replacement) and irrigation. The system was aimed to share available site-specific agricultural domain knowledge and analytical models with the local farmers. The representation of domain knowledge and organization of analytical models were outlined. Considering the micro-environmental variations of the region, we paid special attention to the spatial suitability of domain knowledge and analytical models. Through the online service of GZ-AgriGIS, farmers can easily acquire scientific guidance for crop management decisions.

Key concepts: Decision support system, Field (mathematics), Domain (mathematical analysis), Computer science, Crop management, Agriculture, Irrigation, Web service

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