基于大数据的番茄温室种植环境调控方法及系统
By monitoring greenhouse environmental parameters through big data analysis, a growth length index and condition risk level are constructed. Adjustments are made according to the importance level of the parameters, which solves the problem of inaccurate adjustment of environmental parameters in existing technologies and achieves the optimal growth state and efficient regulation of crops in greenhouses.
CN120240205BActive Publication Date: 2026-07-17INST OF AGRI INFORMATION & ECONOMICS HEBEI ACAD OF AGRI & FORESTRY SCI +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INST OF AGRI INFORMATION & ECONOMICS HEBEI ACAD OF AGRI & FORESTRY SCI
- Filing Date
- 2025-04-22
- Publication Date
- 2026-07-17
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Figure CN120240205B_ABST
Abstract
本发明公开了基于大数据的番茄温室种植环境调控方法及系统，涉及温室环境调控技术领域，构建作物的生长度，若生长度低于预期采集温室内的环境条件数据，并构建环境参数的异常度，进而由各个环境参数的异常度构建温室的条件风险度，若条件风险度超过预期，对作物的生长环境参数与生长度做回归分析，依据各个环境参数的重要程度确定相应的重要级，依据各个参数的重要级对温室内的环境参数进行调整，获取相应的环境调节方案；对环境调节方案进行测试，由测试数据构建执行环境调节方案的效率度，对环境调节方案进行筛选。通过对若干个方案进行筛选，以其中的最佳方案在对温室内的环境参数进行调节时，能够使调节效果更好。
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