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Updated: Jun 13, 2025

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Robotic Sensing and Stimuli Provision for Guided Plant Growth
Published on: July 1, 2019
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人工智能可以调节光线和气候系统,以减少植物工厂的能源使用,并支持可持续的食品生产
Benjamin Decardi-Nelson1, Fengqi You2,3,4
1Systems Engineering, Cornell University, Ithaca, NY, USA.
Nature food
|September 9, 2024
概括
人工智能 (AI) 以人工照明 (PFALs) 优化了植物工厂,大大降低了可持续食品生产的能源消耗. 与传统方法相比,人工智能驱动的系统在各种气候中降低了能源消耗.
科学领域:
- 农业工程 农业工程
- 环境科学 环境科学
- 计算机科学 计算机科学
背景情况:
- 带有人工照明 (PFAL) 的植物工厂可以提高粮食生产效率,但需要大量的能源和资源.
- 在PFAL中优化资源利用对于可持续农业至关重要.
研究的目的:
- 调查人工智能 (AI) 对各种全球气候的PFALs能源消耗的影响.
- 分析植物与环境的相互作用,并利用人工智能优化资源管理.
主要方法:
- 计算机建模和人工智能被用来模拟PFALs中的植物环境相互作用.
- 分析涵盖了十个不同气候条件的全球不同地点.
主要成果:
- 人工智能优化了照明和气候控制系统,将PFAL的能源使用量减少到6.427.26千瓦时-1千克.
- 与非人工智能系统相比,这意味着显著的减少 (9.510.5千瓦时每公斤-1).
- 在较冷的气候 (025°C) 中观察到最优的节能,尽管通风改进影响了二氧化碳利用.
结论:
- 人工智能大大提高了PFAL的能源效率,为更可持续的食品生产做出了贡献.
- 人工智能驱动的优化是控制环境农业中管理资源使用的关键.
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