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基于数据驱动的缎叶树氮素施用:在城市景观管理中利用光学传感器

Data-driven nitrogen application for satinleaf: leveraging optical sensors in urban landscape management.

作者信息

Nogueira Souza Costa Bárbara, Khoddamzadeh Amir Ali

机构信息

Department of Earth and Environment, Institute of Environment, Florida International University, Miami, FL, United States.

出版信息

Front Plant Sci. 2025 Feb 6;16:1522662. doi: 10.3389/fpls.2025.1522662. eCollection 2025.

Abstract

The use of sensor technology is essential in managing fertilization, especially in urban landscape where excessive fertilization is a common issue that can lead to environmental damage and increased costs. This study focused on optimizing nitrogen fertilizer application for Satinleaf (), a native Florida plant commonly used in South Florida landscaping. Fertilizer with an 8N-3P-9K formulation was applied in six different treatments: 15 g (control), 15 g (15 g twice; T1), 15 g (15 g once; T2), 30 g (15 g twice; T3), 30 g (15 g once; T4), and 45 g (15 g twice; T5). Evaluations of plant growth and nutrient status were conducted at several intervals: baseline (0), and 30, 60, 90, 120, 150, and 180 days post-fertilizer application. Three types of optical sensors-GreenSeeker™, SPAD meter, and atLEAF chlorophyll sensor - were used to monitor chlorophyll levels as an indicator of nitrogen content. The study found that the 30 g (15 g twice; T3) treatment was most effective in promoting plant growth and increasing nitrogen content in leaves and soil, while the 45 g (15 g twice; T5) treatment resulted in higher nutrient runoff, indicating potential environmental risks. These findings emphasize the value of using optical sensors for precise nitrogen management in plant nurseries to enhance growth, lower costs, and minimize environmental impact.

摘要

传感器技术的应用对于施肥管理至关重要,尤其是在城市景观中,过度施肥是一个常见问题,可能导致环境破坏和成本增加。本研究聚焦于优化对缎叶树(一种佛罗里达州本土植物,常用于南佛罗里达的景观美化)的氮肥施用。采用了8N - 3P - 9K配方的肥料进行六种不同处理:15克(对照)、15克(分两次施,每次15克;T1)、15克(一次性施15克;T2)、30克(分两次施,每次15克;T3)、30克(一次性施15克;T4)和45克(分两次施,每次15克;T5)。在几个时间点对植物生长和养分状况进行评估:施肥前基线(0)以及施肥后30、60、90、120、150和180天。使用了三种光学传感器——GreenSeeker™、SPAD仪和atLEAF叶绿素传感器——来监测叶绿素水平,作为氮含量的指标。研究发现,30克(分两次施,每次15克;T3)处理在促进植物生长以及增加叶片和土壤中的氮含量方面最有效,而45克(分两次施,每次15克;T5)处理导致更高的养分径流,表明存在潜在环境风险。这些发现强调了在植物苗圃中使用光学传感器进行精确氮管理对于促进生长、降低成本和最小化环境影响的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f89/11839651/fd015fd32bd4/fpls-16-1522662-g001.jpg

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