用数据驱动的气应用在纸上:利用光学传感器在城市景观管理中发挥作用
Bárbara Nogueira Souza Costa1, Amir Ali Khoddamzadeh1
1Department of Earth and Environment, Institute of Environment, Florida International University, Miami, FL, United States.
Frontiers in plant science
|February 21, 2025
概括
优化肥用光学传感器对叶植物进行优化,改善了生长和营养吸收. 30克的应用 (T3) 是最有效的,而更高的数量增加了营养物质流失的环境风险.
科学领域:
- 园艺园艺 园艺园艺
- 环境科学 环境科学
- 精准农业 精准农业 精准农业
背景情况:
- 城市景观中的过度施肥会对环境造成破坏,并增加成本.
- 叶 (Chrysophyllum oliviforme) 是佛罗里达州的一种本土植物,广泛用于南佛罗里达州的景观设计.
- 传感器技术为精确的肥料管理提供了潜力.
研究的目的:
- 通过使用传感器技术,优化叶植物的肥应用.
- 评估不同肥处理对植物生长和营养状况的影响.
- 评估光学传感器在监测植物含量的有效性.
主要方法:
- 六种化肥处理 (8N-3P-9K) 用于叶植物.
- 在180天内监测植物生长和营养状况.
- 使用GreenSeekerTM,SPAD仪和atLEAF传感器测量了叶绿素水平.
主要成果:
- 30g (15g两次;T3) 肥料处理显著提高了植物生长和叶子/土壤含量.
- 更高的肥料应用 (45g;T5) 导致营养物质流失增加,造成环境风险.
- 光学传感器有效地表明了植物的状态.
结论:
- 使用光学传感器进行精确的管理对于幼儿园至关重要.
- 优化施肥可以促进植物生长,降低成本,并最大限度地减少对环境的影响.
- 传感器引导的施肥策略对于可持续的城市景观设计至关重要.
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