Intelligent accurate water irrigation control system and method for solar greenhouse fruit and vegetable cultivation

Abstract

The invention relates to an intelligent accurate water irrigation control system and method for solar greenhouse fruit and vegetable cultivation. The intelligent accurate water irrigation control system comprises an information collection module, a water demand prediction module and an irrigation control module, wherein the information collection module is used for carrying out information collection through a plurality of sensors, and the collected information comprises at least one of soil information, ground environment information, irrigation equipment use process information and crop information; the water demand prediction module is used for inputting the collected information into a deep neural network for calculation, and predicting the water demand of the current solar greenhouse for cultivating fruits and vegetables; and the irrigation control module is used for forming a control instruction according to the predicted vegetable water demand so as to supply water regularly and quantitatively. By means of the mode, the irrigation time and the irrigation amount can be decided according to the growth condition of vegetables and environment parameters, manual operation is not needed in the whole process, intelligent irrigation of facility cultivation can be achieved, the working efficiency is high, the precision is high, and water-saving, quality-improving and efficiency-improving production of the vegetables is achieved.

Description

technical field [0001] The invention relates to the field of crop irrigation technology, in particular to an intelligent water precision irrigation control system and method for fruit and vegetable cultivation in a solar greenhouse. This application claims the priority of the application number CN202110607031.3 submitted to the Patent Office of the State Intellectual Property Office of China on June 1, 2021, and its entire disclosure is incorporated herein by reference. Background technique [0002] The area of ​​horticultural facilities in my country has reached 28.4 million mu, of which solar greenhouses account for about 31%. The types of fruits and vegetables planted mainly include peppers, tomatoes, cucumbers, eggplants, etc. Facility off-season cultivation has become an important part of people's daily fruit and vegetable supply. However, in the actual production process, producers rely on experience to perform extensive irrigation, resulting in waste of water resourc...

AI Technical Summary

Problems solved by technology

Although this technical solution considers the factors affecting irrigation water demand more comprehensively, the model constructed is very simple, and the accuracy of water demand prediction results is not high

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