Study on WebGIS and knowledge model based decision support system for disease-pest-weed management in wheat.
Li FengJu, Xiaojun Liu, Haiyan Jiang, Weixing Cao, Yan Zhu
Abstract
Li FengJu, Xiaojun Liu, Haiyan Jiang, Weixing Cao, Yan Zhu
Abstract
By analyzing and abstracting the new research data on wheat disease-pest-weed management,further combining with the wheat cultivation management knowledge model and economy information,a wheat disease-pest-weed management model was developed based on the generated rule of disease-pest-weed.Moreover,by using the principle of software engineering with WebGIS as spatial information management platform,combining with MS-SQL Server database technology and Browser/Server network structure,the decision support system of wheat disease-pest-weed management was developed.The system realized the functions of user management,map handling,disease-pest-weed management,intelligent study,pesticide search and system help,etc.Case studies on the system in Jiangsu province indicated system could forecast the harm degree of wheat disease-pest-weed,make the relevant prevention methods based on their factual generated conditions in different zones,and provide a service platform of long-term forecast and decision making counseling for wheat disease-pest-weed management.
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By analyzing and abstracting the new research data on wheat disease-pest-weed management,further combining with the wheat cultivation management knowledge model and economy information,a wheat disease-pest-weed management model was developed based on the generated rule of disease-pest-weed.Moreover,by using the principle of software engineering with WebGIS as spatial information management platform,combining with MS-SQL Server database technology and Browser/Server network structure,the decision support system of wheat disease-pest-weed management was developed.The system realized the functions of user management,map handling,disease-pest-weed management,intelligent study,pesticide search and system help,etc.Case studies on the system in Jiangsu province indicated system could forecast the harm degree of wheat disease-pest-weed,make the relevant prevention methods based on their factual generated conditions in different zones,and provide a service platform of long-term forecast and decision making counseling for wheat disease-pest-weed management.
Key concepts: Weed, Integrated pest management, Disease management, PEST analysis, Weed control, Computer science, Agricultural engineering, Agroforestry