A physical regulation and environment coordination management method for inhibiting early flowering of brassica

By using sensor networks and machine learning models to predict the risk of early flowering in broccoli, and combining adjustable shading devices and precision irrigation management, the complexity of environmental control and resource waste in early flowering of broccoli are solved, achieving efficient and low-cost suppression of early flowering, which is suitable for large-scale agricultural production.

CN122095901APending Publication Date: 2026-05-29HUBEI KANGXING AGRICULTURAL TECHNOLOGY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUBEI KANGXING AGRICULTURAL TECHNOLOGY CO LTD
Filing Date
2026-04-13
Publication Date
2026-05-29

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Abstract

The application discloses a physical regulation and environment coordination management method for inhibiting early flowering of brassica napus, and belongs to the technical field of brassica napus cultivation. The method aims at the problems of complex environment regulation means, high cost, lagging reaction to environmental factors, limitations of physical regulation methods, insufficient predictability of test results, resource waste and energy consumption in the prior art. The method comprises the following steps: S1, establishing a monitoring network; S2, constructing a prediction model; S3, starting coordinated regulation; S4, performing physical shading and cooling; and S5, optimizing water and fertilizer management. The application realizes the prospective early warning and accurate prediction of the early flowering phenomenon by deploying a sensor network and constructing an early flowering risk prediction model based on machine learning. The method changes the passive response mode of traditional regulation, can actively evaluate the risk level according to real-time and future environmental data, fundamentally solves the problem of untimely regulation caused by the lagging reaction of the prior art, and significantly improves the effectiveness of early flowering prevention.
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