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数字农业的传感器和机器人技术
Aristotelis C Tagarakis1, Dionysis Bochtis1
1Institute for Bio-Economy and Agri-Technology (iBO), Centre for Research and Technology-Hellas (CERTH), 6th km Charilaou-Thermi Rd., 57001 Thessaloniki, Greece.
Sensors (Basel, Switzerland)
|August 26, 2023
概括
由于新的传感和数据技术,在农业中越来越多地使用自主系统. 这种整合提高了农业作业的效率和精度.
科学领域:
- 农业科学 农业科学
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
背景情况:
- 先进的传感和数据技术的整合正在推动农业采用自主系统.
- 这些技术使复杂的数据收集和分析能够改善农场管理.
研究的目的:
- 探索创新的传感和数据技术对农业自主系统实施的影响.
- 审查农业生产中自主系统的现状和未来潜力.
主要方法:
- 关于传感技术,数据分析和农业自主系统的最新文献的综述.
- 分析展示这些技术在农业中的应用的案例研究.
主要成果:
- 由先进的传感器和数据处理驱动的自主系统正在提高各种农业任务的效率.
- 这些技术的实施导致了优化资源管理和提高作物产量.
结论:
- 创新的传感和数据技术是农业广泛采用自主系统的关键推动因素.
- 这些技术的持续发展和整合有望在可持续和生产性农业方面取得重大进展.
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