自动供电的可穿戴植物叶绿素感应补丁
Xujun Chen1, Longgang Ma1, Jiawei Zhang1
1College of Engineering, China Agricultural University, Beijing, 100083, PR China.
Biosensors & bioelectronics
|November 16, 2025
概括
一个新的自动供电系统监测植物叶绿素非破坏性的智能农业. 该系统使用植物叶绿素感应贴片和混合能源收割机,使得早期压力检测和产量预测成为可能.
科学领域:
- 农业工程 农业工程
- 传感器技术 传感器技术
- 可再生能源可再生能源是可再生能源.
背景情况:
- 精确监测植物叶绿素对于智能农业至关重要,使精确的受精和产量预测成为可能.
- 现有的叶绿素测量方法往往具有破坏性,速度较慢,或需要外部电源,这限制了它们在长期无人监测中的应用.
- 需要一个快速,非破坏性的,自动供电的系统来持续监测叶绿素.
研究的目的:
- 开发一种快速,非破坏性,长期的自动供电系统,用于监测植物含量.
- 为了实现可持续运行,将植物叶绿素感应贴片 (PCSP) 与混合能源采集系统 (PWSS) 集成在一起.
- 评估系统在评估叶绿素含量,检测植物压力和预测作物产量的表现.
主要方法:
- 一个小型化的植物叶绿素感应贴片 (PCSP) 设计使用反射光学模式与LED和光学探测器.
- 一个三重能源系统 (PWSS) 结合光伏 (PV),风能收获纳米发电机 (WTVNG) 和土壤微生物燃料电池 (SMFC) 已开发用于自动供电.
- 从PCSP数据计算出叶绿素含量指数 (CCI),并分析其与实际叶绿素含量的相关性.
- 使用LSTM算法对压力进行分类,并根据收集的数据预测叶绿素含量.
主要成果:
- 在PCSP中,计算的CCI与实际的叶绿素含量之间显示出强烈的线性关系 (r2 > 0.9).
- 在180rpm时,WTVNG实现了7.21A/m2的短路电流密度,SMFC提供了1.18mW/m3的功率密度.
- 综合系统成功实现了长期的无人监测,并比传统方法更早地检测到工厂压力.
- 该系统在智能农业中显示了早期压力检测和产量预测的有希望的应用.
结论:
- 拟议的自动供电叶绿素监测系统为智能农业应用提供了可行的解决方案.
- 混合能源采集系统可确保在没有外部电源的情况下连续运行.
- 植物应激的早期检测和精确的叶绿素含量估计是可以实现的,为优化作物管理铺平了道路.
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