Crop water demand judgment irrigation method and system based on image recognition

By dividing agricultural irrigation areas into zones and setting image acquisition points, crop image data is collected using a mobile platform, spectral feature values ​​are extracted, and irrigation control commands are generated. This solves the problems of low accuracy in traditional irrigation management and the limitations of existing technologies, and achieves precision irrigation and efficient use of water resources.

CN121811232APending Publication Date: 2026-04-07YANGZHOU UNIV
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Patent Information

Application Number
CN202511772393.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-28
Publication Date
2026-04-07

AI Technical Summary

Technical Problem

Traditional irrigation management relies on experience-based judgment, which is inaccurate, leading to water waste and reduced crop yields. Existing sensor-based methods are costly, easily damaged, and unable to comprehensively monitor differences within the field. Methods based on weather station data cannot perceive the moisture status of crops in the field. Image recognition technology has problems such as limited coverage and large errors when using fixed cameras and manual inspections.

Method used

The area to be irrigated is divided into zones and image acquisition points are set. Crop image data is collected using a mobile carrier platform. Spectral feature values ​​are extracted through image recognition technology, input into the water demand judgment model, and irrigation control instructions are generated to achieve precise irrigation in zones.

Benefits of technology

It enables early, non-destructive diagnosis of crop water requirements, precise irrigation decisions, avoids water waste, and improves water utilization and irrigation precision.

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Abstract

The invention provides a crop water demand judgment irrigation method and system based on image recognition, and relates to the technical field of agricultural irrigation. An area to be irrigated is divided into a plurality of subareas, a plurality of image acquisition points are set in each subarea, and an optimal cruise path is calculated according to geographic coordinates of the image acquisition points; an unmanned aerial vehicle or a track robot carrying an image acquisition terminal is used for acquiring crop image data at the image acquisition points of all the subareas along the optimal cruise path; the method comprises the following steps: standardizing crop image data, extracting a spectral feature value for judging the crop moisture condition, inputting a pre-trained water demand judgment model to obtain a water demand index at each image acquisition point, and finally generating a corresponding control instruction based on the water demand index at each image acquisition point, and the irrigation execution unit receives the control instruction and completes irrigation operation. According to the invention, mechanical, automatic and intelligent precise irrigation based on image recognition can be realized, and efficient utilization of water resources is realized.
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