2010Zhongguo nongye KexueRequires access

A Knowledge Model for Precision Water Management in Rice

Xiaojun Liu, Jing Cao, Li YanDa, Yuping Zhang, Weixing Cao, Yan Zhu

Open publisher page 2 citations

Abstract

Objective Rice is the most important staple crop and needs much water resource in China,so precision water management is necessary for high efficiency rice production.MethodBased on analysis and extraction of the research results in rice cultural theories and technologies,further on the theory of soil water balance,with soil water potential as the irrigation index,a knowledge model for precision water management in rice(KMPWM) was developed by quantifying the relationships of water demand and cultivation technologies,variety traits,and eco-environments.Furthermore,based on the system engineering theory,a decision support system for rice precision water management was established on the platform of Microsoft Visual Studio.NET 2005.ResultKMPWM realized the functions of irrigation management scheme design and real-time regulation.The field comparison experiments at Hangzhou and Nanjing showed that the average grain yields were improved by 6.9% and 9.1%,respectively,and irrigation water use efficiencies were remarkably increased by 53.61% and 42.73%,respectively,in two eco-sites under the model-designed irrigation strategies,as compared to conventional irrigation regimes.Conclusion It appears that the present model has good applicability and proper guidance for rice precision water management.

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What this paper is about

Objective Rice is the most important staple crop and needs much water resource in China,so precision water management is necessary for high efficiency rice production.MethodBased on analysis and extraction of the research results in rice cultural theories and technologies,further on the theory of soil water balance,with soil water potential as the irrigation index,a knowledge model for precision water management in rice(KMPWM) was developed by quantifying the relationships of water demand and cultivation technologies,variety traits,and eco-environments.Furthermore,based on the system engineering theory,a decision support system for rice precision water management was established on the platform of Microsoft Visual Studio.NET 2005.ResultKMPWM realized the functions of irrigation management scheme design and real-time regulation.The field comparison experiments at Hangzhou and Nanjing showed that the average grain yields were improved by 6.9% and 9.1%,respectively,and irrigation water use efficiencies were remarkably increased by 53.61% and 42.73%,respectively,in two eco-sites under the model-designed irrigation strategies,as compared to conventional irrigation regimes.Conclusion It appears that the present model has good applicability and proper guidance for rice precision water management.

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Available abstract

Objective Rice is the most important staple crop and needs much water resource in China,so precision water management is necessary for high efficiency rice production.MethodBased on analysis and extraction of the research results in rice cultural theories and technologies,further on the theory of soil water balance,with soil water potential as the irrigation index,a knowledge model for precision water management in rice(KMPWM) was developed by quantifying the relationships of water demand and cultivation technologies,variety traits,and eco-environments.Furthermore,based on the system engineering theory,a decision support system for rice precision water management was established on the platform of Microsoft Visual Studio.NET 2005.ResultKMPWM realized the functions of irrigation management scheme design and real-time regulation.The field comparison experiments at Hangzhou and Nanjing showed that the average grain yields were improved by 6.9% and 9.1%,respectively,and irrigation water use efficiencies were remarkably increased by 53.61% and 42.73%,respectively,in two eco-sites under the model-designed irrigation strategies,as compared to conventional irrigation regimes.Conclusion It appears that the present model has good applicability and proper guidance for rice precision water management.

Key concepts: Agricultural engineering, Irrigation, Irrigation management, Environmental science, Precision agriculture, Deficit irrigation, Water resource management, Water use

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