Tobacco growth precision decision method and system based on crop accumulated temperature model

By using a multi-scale precision decision-making method for tobacco growth based on a crop development accumulated temperature model, the problem of the inability to dynamically predict and proactively make decisions in existing technologies has been solved, achieving precise and timely agricultural operation management.

CN122415253APending Publication Date: 2026-07-17NONGXIN (NANJING) SMART AGRI RES INST CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NONGXIN (NANJING) SMART AGRI RES INST CO LTD
Filing Date
2026-03-31
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing tobacco production management systems are unable to make dynamic predictions and proactive decisions based on the inherent physiological laws of crop growth, resulting in production management being highly dependent on human experience and making it difficult to achieve precision and timeliness optimization in agricultural operations.

Method used

A multi-scale precision decision-making method for tobacco growth based on a crop development accumulated temperature model is adopted. By collecting and processing environmental and ontological data, an adaptive multi-scale development process prediction model is constructed, a quantitative agricultural operation prescription is generated, and the agronomic rationality and equipment feasibility are verified.

Benefits of technology

It enables dynamic response simulation of tobacco growth and accurate prediction of future key reproductive events, generates optimal agricultural management prescriptions, improves the scientific nature and timeliness of agricultural operations, and transforms them into model-based management.

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Abstract

本发明公开了一种基于作物发育积温模型的烟草生长精量决策方法及系统,涉及智慧农业技术领域。其中,该方法,包括:采集目标区域内烟草生长的环境数据与本体数据,并对数据进行质量控制、插补与时空尺度匹配,得到标准化多源数据集;根据目标烟草品种的遗传特性参数初始化作物发育积温模型,利用历史数据对模型参数进行区域级标定,并根据所述标准化多源数据集中的实时数据对地块级模型进行动态同化与校准。本发明,解决现有烟草生产管理系统依赖经验决策、缺乏量化模型支撑的缺陷,提供一种基于作物发育积温模型的多尺度烟草生长精量决策系统及方法,实现从“数据展示”到“过程模拟与主动决策”的跨越。
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