| China is a large agricultural country, irrigation is an important part of the agricultural production process. Precision irrigation can meet the precise requirements of the irrigation time, irrigation water, irrigation positions during crop growth, and maximize the efficiency of water using, which could protect the agricultural production environment and realize the sustainable utilization of agricultural water resources.In this paper,based on the thorough research on the relevant problems of wheat precision irrigation, a precise irrigation decision system for winter wheat based on Internet of things was developed.Through access to relevant documents, combined with wheat growth theory and methods related to moisture conditions and multidisciplinary management of irrigation for wheat, we build rule model and mathematical model of decision-making. First, understanding and refining the expert knowledge and building a knowledge-based decision-making model rules; then researching the theory related to Penman formula and water balance principle, combining the field experiments and wheat growth rules of water demand in different growth period, using meteorological parameters and soil moisture information to construct constructed the mathematical decision model of wheat irrigation and validate the model.We studied the knowledge rules model and mathematical decision model, and achieved the wheat precision irrigation decision system by utilizing database technology, network technology, networking technology, which achieve the dynamic decision for the winter wheat irrigation management. The system has the following functions: data management is mainly responsible for the collection of field data and other related information management, specifically including meteorological data management, land management, irrigation management; the implementing of the rules decision model based on knowledge, which includes a large number of knowledge and experience of experts and the reasoning decision achieved by encoding; the mathematical decision model based on penman formula and water balance equation, which could import or enter the relevant meteorological parameters and soil moisture parameters, and calculate the wheat demand and the lack of water accurately, and make the appropriate decisions based on the results, provide decision-making basis for users.The study completed the integration of wheat irrigation decision support system and realized the real-time decisions based on dynamic data networking, which provides a reference for the wheat water-saving irrigation and has practical significance. And it establishes the foundation for wheat production of intelligent, digital and modern management decision-making. However, the system only takes irrigation into account, not considers the farming activities which closely to irrigation like fertilization, so that the system has certain limitations. |
