自动营养估计器:根据植物生长情况在水培植物中分配营养溶液
Tupili Sangeetha1, Ezhumalai Periyathambi2
1Department of Information Technology, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India.
PeerJ. Computer science
|March 4, 2024
概括
这项研究引入了一种自动化水培系统,该系统根据植物生长阶段准确估计和提供营养,优化产量并减少农民手动调整.
科学领域:
- 农业工程 农业工程
- 植物科学 植物科学
- 自动化自动化自动化自动化自动化
背景情况:
- 水耕技术提供了无土壤的种植,尽量减少水和农药的使用.
- 水栽培的挑战包括营养物质分布不均和pH/EC波动.
- 优化营养递送对于植物健康和水培系统的产量至关重要.
研究的目的:
- 开发一个自动化系统,精确地提供适合植物生长阶段的营养物质.
- 为了应对营养管理,pH和电导率 (EC) 调整在水培中的挑战.
- 为了最大限度地减少资源浪费和人工劳动在水培农业.
主要方法:
- 使用Arduino板和四个环静电开发了一个自动水培养营养估计器.
- 实施了一种植物生长阶段识别算法,以识别幼苗,植物,开花和结果阶段.
- 对营养素的摄入量进行了监测,并根据确定的植物生长阶段进行了调整.
主要成果:
- 该系统在识别植物阶段 (1-5周) 时达到97.5%的准确性,营养摄入量为1,715 ppm.
- 花期 (6-9周) 的确定准确率为97.5%,需要2,380 ppm的营养素.
- 果实阶段 (10-15周) 的确定准确率为99.4%,需要2,730 ppm的营养素.
结论:
- 自动化系统准确地估计并提供特定阶段的营养素,增强水耕种植.
- 植物生长阶段识别算法有效优化营养管理,以提高产量.
- 这项技术简化了水培农业,减少了人工劳动,提高了资源效率.
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