A big data-based intelligent agricultural soil improvement optimization method
By integrating multi-source data and digital twin models, combined with climate risk assessment and market premium feedback, the issues of accuracy and economic efficiency in soil improvement methods have been resolved, achieving efficient allocation of agricultural resources and closed-loop business management.
CN122414932APending Publication Date: 2026-07-17JIANGSU NANHUANGYANG AGRI TECH CO LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIANGSU NANHUANGYANG AGRI TECH CO LTD
- Filing Date
- 2026-06-16
- Publication Date
- 2026-07-17
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Figure CN122414932A_ABST
Abstract
本发明涉及智能农业数据处理与商业预测管理技术领域，具体为一种基于大数据的智慧农业土壤改良优化方法，包括：获取实时监测数据与化验室融合数据，在一张图管理架构中创建土壤数字孪生模型；模拟施肥与耕作影响并输出土壤养分时空演化预测值；建立改良收益模型，将预测值与气候因子输入风险加权效用函数，输出最优服务支出比例的改良方案；为农产品建立数字身份证，将终端市场溢价数据反馈至决策流程以动态调整收益模型。本发明通过数字孪生推演与风险经济效用评估深度结合，利用商业溢价形成管理闭环，在有效规避农事投入风险的同时精准实现农业资产动态优化，提升了现有土壤改良方案的整体效益。
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