과정기반 작물모형을 이용한 웹 기반 밀 재배관리 의사결정지원시스템 설계 및 구축
Design and Development of Web-Based Decision Support Systems for Wheat Management Practices Using Process-Based Crop Model
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초록
This study aimed to design and build a web-based decision support system for wheat cultivation management. The system is designed to collect andmeasure the weather environment at the growth stage on a daily basis and predict the soil moisture content. Based on this, APSIM, one of theprocess-based crop models, was used to predict the potential yield of wheat cultivation in real time by making decisions at each stage. Thedecision-making system for wheat crop management was designed to provide information through a web-based dashboard in consideration of userconvenience and to comprehensively evaluate wheat yield potential according to past, present, and future weather conditions. Based on the APSIMmodel, the system estimates the current yield using past and present weather data and predicts future weather using the past 40 years of weather datato estimate the potential yield at harvest. This system is expected to be developed into a decision support system for farmers to prescribe irrigationand fertilizer in order to increase domestic wheat production and quality by enhancing the yield estimation model by adding influence factors that cancontribute to improving wheat yield.
Abstract
This study aimed to design and build a web-based decision support system for wheat cultivation management. The system is designed to collect andmeasure the weather environment at the growth stage on a daily basis and predict the soil moisture content. Based on this, APSIM, one of theprocess-based crop models, was used to predict the potential yield of wheat cultivation in real time by making decisions at each stage. Thedecision-making system for wheat crop management was designed to provide information through a web-based dashboard in consideration of userconvenience and to comprehensively evaluate wheat yield potential according to past, present, and future weather conditions. Based on the APSIMmodel, the system estimates the current yield using past and present weather data and predicts future weather using the past 40 years of weather datato estimate the potential yield at harvest. This system is expected to be developed into a decision support system for farmers to prescribe irrigationand fertilizer in order to increase domestic wheat production and quality by enhancing the yield estimation model by adding influence factors that cancontribute to improving wheat yield.
참고문헌 (24)
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