通过实施数字双胞胎来增强智能农业:全面审查
Nikolaos Peladarinos1, Dimitrios Piromalis1, Vasileios Cheimaras1
1Department of Electrical and Electronics Engineering, University of West Attica, 12244 Athens, Greece.
Sensors (Basel, Switzerland)
|August 26, 2023
概括
数字双胞胎创建虚拟农场复制品,以加强决策. 这项技术优化了灌,施肥和害虫防治,提高了农场的生产力和可持续性.
科学领域:
- 农业技术 农业技术
- 计算机科学 计算机科学
- 环境科学 环境科学
背景情况:
- 数字双胞胎 (DTs) 是物理资产,过程或系统的虚拟复制品.
- DT模拟和预测现实世界的行为,提供动态洞察力.
- 智能农业利用数据技术进行全面的虚拟农场复制.
研究的目的:
- 提供关于智能农业中数字双胞胎的当前研究的全面概述.
- 探索农业中数据技术的应用,影响和挑战.
- 确定农业领域的数据技术的未来研究方向.
主要方法:
- 综合各种数据来源:土壤,植物状况,环境传感器,天气预报,无人机和卫星图像.
- 发展农业领域的动态和最新的可视化.
- 对作物建模,精准农业和相关技术的当代研究进行分析.
主要成果:
- 定位技术使得人们能够在灌,施肥和害虫管理方面做出明智的决定.
- 通过数据驱动的洞察力提高农场的生产力和可持续性.
- 确定关键挑战,包括数据隐私,数据质量和集成复杂性.
结论:
- 数字双胞胎为彻底改变智能农业实践提供了巨大的潜力.
- 应对挑战对于广泛采用和最大化收益至关重要.
- 未来的研究应该专注于推进农业中DT集成和数据管理.
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