Crop precision irrigation decision-making method and system

Abstract

The invention relates to a crop precision irrigation decision-making method and system, and the method is characterized in that the method comprises the following steps: 1) enabling a field observation system to collect the real-time observation data of a to-be-measured crop at each monitoring point in an irrigation area in real time; 2) constructing an irrigation decision-making model based on the growth and yield prediction of the to-be-tested crops; 3) acquiring weather forecast information of the irrigation area and daily ordinal numbers of to-be-tested crops in the irrigation area in realtime; 4) determining a real-time irrigation decision-making result of the to-be-tested crop in the irrigation area according to the real-time observation data of the to-be-tested crop, the irrigationdecision-making model, the obtained weather forecast information and the obtained daily parameters in the growth period; 5) according to the remote sensing image of the irrigation area, obtaining spatial distribution data of the to-be-measured crops in the irrigation area and air relative humidity, surface temperature and vegetation coverage data of the irrigation area, and 6) determining a precision irrigation decision result of the to-be-measured crops in the irrigation area, and the method can be widely applied to the field of precision irrigation.

Description

technical field [0001] The invention relates to a decision-making method and system for precision irrigation of crops, and belongs to the field of precision irrigation. Background technique [0002] With the process of industrialization, informatization, urbanization and agricultural modernization, in modern farms, agricultural irrigation has gradually shifted from single, fragmented and small farmlands to contiguous and large farms. Higher requirements. The main characteristics of precision irrigation are timely and appropriate amount. Its research and application can not only effectively improve irrigation water use efficiency and crop yield and quality, but also greatly improve the effective utilization rate of chemical fertilizers and pesticides, and reduce the negative impact on farmland ecosystem. Comprehensive consideration of soil moisture, crop surface temperature or infrared temperature indicators to monitor crop water stress has the advantages of stable decision ...

AI Technical Summary

Problems solved by technology

[0003] In the research and application of satellite remote sensing retrieval information and ground real-time monitoring for irrigation, the academic community often pays attention to or solves one of the aspects, such as using remote sensing information to retrieve farmland crop evapotranspiration ET, without using ground measured data for coupling feedback, So as to provide real-time guidance on agricultural production and irrigation; or field data monitoring is limited to local areas, unable to evaluate the actual situation of large-scale farmland in time

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