An intelligent decision-making system and method for farmland irrigation

Abstract

The invention relates to a farmland irrigation intelligent decision making system and method. The system comprises a soil moisture status data collection module, a time collection module, a soil moisture status grade calculating and modeling module, an irrigation decision making and processing module, a spatial distribution processing module and an interface display module. The soil moisture status grade calculating and modeling module establishes a soil moisture status grade calculating model and carries out soil moisture status grade calculation according to soil moisture status data collected by the soil moisture status data collection module and a crop practical growth phase determined by the time collection module. According to a soil moisture status grade calculation result, the irrigation decision making and processing module obtains an irrigation decision in such a manner that artificial intelligence and decision supporting are combined, the spatial distribution processing module carries out spatial distribution processing, and then the interface display module carries out interface display. By adopting the system, farmers and an agriculture department can respectively, precisely and pointedly grasp the soil moisture status information and the intelligent irrigation decision of a farmland in a base of a region anytime and anywhere.

Description

technical field [0001] The invention relates to the field of agricultural information technology, in particular to an intelligent decision-making system and method for farmland irrigation based on soil moisture data. Background technique [0002] With the rapid development of irrigation technology and the aggravation of the impact of drought and frequent disasters on the sustainable development of agricultural production, the significance of moisture forecast is becoming more and more important, and the lack of water resources will make water resources a strategic resource, which will play an important role in the development of social economy. Soil moisture plays a decisive role, which puts forward higher requirements for the timing and appropriateness of irrigation, that is, puts forward higher requirements for moisture forecasting, which will make soil moisture an important aspect of the development of agricultural soil and water engineering. The frequent occurrence of dr...

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Problems solved by technology

[0003] At present, there are still many problems in the monitoring of farmland and facility moisture, disaster early warning, and farmland irrigation in most areas of my country: First, the monitoring and control capabilities are low, and the level of technical equipment needs to be improved urgently

①Mainly rely on manual surveys to obtain data, resulting in high manual management expenses and large human errors; ②Most research results on soil moisture forecasting are based on point forecasting, lacking large-scale regional and macro forecasting methods

Second, the randomness of farmers' irrigation is large, and the professional guidance of precise irrigation needs to be improved

①In farmland crop production, farmers often irrigate with rain and water, and there is a lack of professional guidance on the combination of water demand and soil moisture in the key growth period of crops to water in an appropriate amount; ②The phenomenon of fertilization with water and flood irrigation still exists Very serious, causing a waste of agricultural water

To sum up, farmers cannot intuitively obtain information on farmland soil moisture and irrigation decisions in the areas they care about. Moreover, the agricultural sector focuses on large-scale intelligent analysis and early warning research on crop production for the major strategic goals of food and major agricultural product quantity security. The geographical distribution is wide, and there are many bases in the same area. There will also be one or more farmlands in the same base. Intelligent analysis and early warning are more difficult

In addition, neither the farmers nor the agricultural sector can accurately and pertinently give intelligent irrigation decisions for a certain farmland anytime and anywhere.

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