Study And Implementation Of Irrigation Decision System For Typical Crop In Facility Agriculture

Through consulting, sorting, analysis of relevant literature, water saving irrigation system of typical areas is evaluated comprehensively in this article, facilities for crop irrigation system database are established, and a query system of irrigation system is developed.To accurately grasp the information of soil moisture and improve precision irrigation decision, high precision profile soil moisture sensors are designed and producted. Field experiment in the greenhouse tomato, greenhouse tomato on physiological and ecological index, yield and water use efficiency and product quality was studied under different irrigation system, and the irrigation system based on the method of the approximate ideal solution was analyzed and evaluated. At the same time, the variation rules on inside and outside the greenhouse microclimate and crop water requirement and water surface evaporation were analyzed, and the relevance of the facilities for crop irrigation water temperature decision model was put forward, and the irrigation system database and the decision-making model integration was applied to intelligent irrigation system for irrigation.The main research results are as follows:(1) The irrigation system of crop irrigation was analyzed and summarized systematically in some areas of China, and the comprehensive evaluation index system of irrigation system was constructed, To obtain the optimal irrigation system, the irrigation system based on the method of the approximate ideal solution was analyzed and evaluated. On this basis, facilities for crop irrigation system database were established, and the system of facility crop irrigation system was developed, which provide the theoretical basis and technical support to optimize irrigation system on various areas.(2) Based on the edge field effect of high frequency capacitance, the electric field intensity around the probe micro capacitance and capacitance value were simulation analysed by using the finite element method (fem), and the optimal sensor structure was determined. The high precision profile soil moisture sensor with a new structure was designed. Calculation and test results show that the sensor can be applicable to various types of soil moisture measurement, the measurement accuracy of plus or minus 1.31%, which has the very high stability and consistency.(3) Field experiment in the greenhouse tomato, the physiological and ecological index of tomato, yield, water use efficiency and fruit quality were studied under the different irrigation modes, the results showed that:a) The influence degree on the irrigation water quality of different growth period to morphological index, dry matter, root-shoot ratio, yield is not the same, the flowering period of fruit while response to irrigation water. B) the water consumption growth period size order, flowering fruit>bearing stage>fruit maturation stage;Level of growth period is sensitive to soil moisture on the largest flowering fruit-bearing stage, fruit maturation and the sensitive degree of seedling stage is the smaller. C) the increasing of irrigation amount can increase the weight of irrigation water, and reduce sugar acid ratio. The moderately reducing irrigation water in flowering fruit-bearing stage can increase the soluble sugar content of tomato. D) based on entropy weight of approximation to the ideal solution for a comprehensive evaluation of different irrigation systems to obtain the optimal irrigation system: seedling irrigation water 37 mm, flower fruiting irrigation water 44 mm, and fruit maturity irrigation water is 17 mm.(4) Based on experimental data, the small climate change law of inside and outside greenhouse was analysed, Crop water requirement is mainly related to the crop growing season, irrigation amount and indoor temperature. Based on the correlation analysis of crop water requirement and water surface evaporation and indoor temperature, We find the correlation between crop water requirement and water evaporation is poorer, but has good correlation with indoor temperature. According to the results of analysis on daily mean at room temperature and crop water requirement, the decision model for water temperature irrigation in facility crop was established.(5) Based on the database and data management, irrigation decision model as the core, the agricultural irrigation decision making system based on crop water requirement was developed. Irrigation system was integrated in the system database, soil moisture, crop irrigation water temperature decision-making model and a model of crop water demand based on meteorological information such as water-saving irrigation, and soil moisture monitoring, irrigation decision-making, irrigation monitoring, production management and other functions were realized. Facility agricultural irrigation decision-making system has been carried on the demonstration application in Daxing District yufazhen acres of vegetable demonstration garden, which improved the scientific nature of irrigation decision, and social and economic benefit is remarkable.