玻璃温室番茄生产数据集

技术人员根据不同天气设定不同的环控及灌溉策略，利用RIDDEER SYNOPTA系统，通过采用先进的物联网技术，实现了农业生产环境的实时监测和数据采集，所采集的数据包括基质环境、温度、光照、湿度、二氧化碳浓度等关键参数，可实现作物生长状况、病虫害情况的动态跟踪，并根据实际天气情况按照设定的策略来使用各项硬件设备（如天窗、幕布、加热管道等）进行调控达到设定值，通过植株的生长状态、产量来总结分析出不同气候下最佳的技术策略，形成玻璃温室番茄种植数据集。该数据集可为生产运营提供精准、科学的决策依据，有助于提高番茄生产效率和品质。委托方还积极推动数据共享和开放，通过与其他农业企业、科研机构等合作，共享农业数据资源，共同推动农业科技创新和产业升级。企业通过“玻璃温室番茄生产数据集”进行入表，探索企业数据资产市场化价值路径。

Technicians develop distinct environmental control and irrigation strategies tailored to different weather conditions. Utilizing the RIDDEER SYNOPTA system and cutting-edge Internet of Things (IoT) technologies, the project achieves real-time monitoring and data acquisition of agricultural production environments. Collected key parameters include substrate environment, temperature, light intensity, relative humidity, and carbon dioxide concentration, which enable dynamic tracking of crop growth status and pest/disease infestation situations. Moreover, the system can operate various hardware facilities such as skylights, sun-shading curtains, heating pipelines, etc., to adjust environmental factors to preset values based on actual weather conditions and pre-defined strategies. By summarizing and analyzing optimal technical strategies under different climatic conditions via plant growth status and final yield, a glasshouse tomato cultivation dataset is constructed. This dataset provides accurate and scientific decision-making basis for production and operation, contributing to enhanced tomato production efficiency and product quality. The client has also actively promoted data sharing and openness: through collaborations with other agricultural enterprises, research institutions and other stakeholders, it shares agricultural data resources to jointly advance agricultural scientific and technological innovation and industrial upgrading. The enterprise has incorporated the "glasshouse tomato production dataset" into its corporate data asset records to explore the market-oriented value realization path of enterprise data assets.

搜集汇总

数据集介绍

特点

玻璃温室番茄生产数据集包含实时监测的基质环境、温度、光照、湿度、二氧化碳浓度等关键参数，用于优化番茄种植过程，提高产量与品质。数据集由德州财金智慧农业科技有限公司申请，旨在为全国设施番茄种植提供具体化、数字化的指导。