Intelligent agricultural environment monitoring method and light supplement adjusting system

By collecting and processing real-time multi-dimensional data, evaluating the degree of delay abnormality and dynamically optimizing the fill light adjustment strategy, the problem of delay in the fill light adjustment decision caused by delay and network instability in the existing system is solved, and efficient and accurate fill light adjustment of the agricultural environment monitoring system is achieved.

CN120122755AInactive Publication Date: 2025-06-10上海圣库科技发展有限公司
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Patent Information

Application Number
CN202510143319.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-10
Publication Date
2025-06-10
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Due to high latency and network instability, the existing agricultural environment monitoring system is difficult to adapt to the rapidly changing agricultural environment, resulting in delays in filling light regulation decision making and affecting crop growth quality.

Method used

Real-time multi-dimensional data is collected through sensor networks, edge computing devices are used for pre-processing, extract irregular characteristics of photosynthesis efficiency and fluctuation characteristics of light intensity change rate, evaluate the degree of delay abnormality, and dynamically optimize the fill light adjustment strategy, including adjusting the execution time window and enabling the fill light prediction algorithm.

Benefits of technology

It significantly improves the real-time and accuracy of agricultural environmental monitoring and fill-light regulation systems, quickly adapts to environmental changes, optimizes crop growth conditions, and improves production efficiency and crop photosynthesis efficiency.

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Abstract

The invention discloses an intelligent agricultural environment monitoring method and a light supplement adjusting system, and particularly relates to the technical field of agricultural monitoring. An edge computing device is utilized to extract photosynthesis efficiency irregular features and illumination intensity change rate fluctuation features in a data processing module, and a delay degree evaluation module evaluates the delay abnormal degree between real-time environment data and a light supplement adjustment decision. The light supplementing control module is used for deeply analyzing delay data in a fixed time period and dynamically adjusting the illumination intensity and spectral distribution of a light supplementing lamp, so that the problem of insufficient response caused by high delay and single parameter analysis in a traditional method is effectively solved; the accuracy and the real-time performance of agricultural environment monitoring are remarkably improved, the crop growth condition is optimized, and therefore the agricultural production efficiency and the crop quality are improved.
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