在不同的灌制度下种植番茄的智能农业数据集
Laura Belli1, Luca Davoli1, Giulia Oddi1
1Internet of Things (IoT) Lab, Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy.
Data in brief
|April 17, 2025
概括
这项研究使用物联网传感器和变化的水位监测番茄作物的灌. 数据揭示了对番茄种植对环境影响的见解,有助于精准农业.
科学领域:
- 农业科学 农业科学
- 环境监测 环境监测
- 精准农业 精准农业 精准农业
背景情况:
- 番茄 (Solanum lycopersicum L. cv. 番茄) 是一个有趣的植物. (Heinz 1301) 的种植对全球粮食安全至关重要.
- 优化灌对于可持续农业和资源管理至关重要.
- 物联网技术为实时作物监测和控制提供了先进的解决方案.
研究的目的:
- 使用物联网基础设施从番茄作物中收集的数据集进行呈现.
- 分析不同灌方式对番茄种植的影响.
- 为计算农业学指标提供数据,例如生长度日 (GDD) 和热量单位.
主要方法:
- 在番茄作物中部署支持远程广域网 (LoRaWAN) 的物联网设备.
- 实施三种不同的灌制度:完全推,60%推和30%推.
- 每10分钟收集环境,水表和土壤传感器数据,并每天计算农业学指标.
主要成果:
- 该数据集包括来自番茄作物的环境,用水和土壤数据.
- 每天计算农业学指标,包括生长度日 (GDD) 和热量单位.
- 数据是在2023年夏季 (6月29日至9月13日) 期间在意大利帕尔马的Azienda Sperimentale Stuard收集的.
结论:
- 该数据集为了解番茄作物对不同灌策略的反应提供了有价值的信息.
- 使用物联网技术可以精确监控和管理农业资源.
- 这些数据可以支持开发更有效和可持续的农业实践.
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