物联网为印度尼西亚的兰花栽培带来了精准高效的变革

Hasan Bisri, Syamsudduha Syahrorini
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引用次数: 0

摘要

兰科植物在观赏、香水、医疗和化妆品行业中具有很高的价值,但由于人为失误,栽培工作经常失败。本研究旨在设计一种物联网集成自动化系统,用于监测和控制兰花栽培的空气温度、湿度和苔藓水分等关键参数。我们采用研发方法,观察植物需求,查阅相关文献,设计了一个有效的系统,并测试了传感器精度和系统可靠性。结果表明,DHT-22 传感器的温度(0.9%)和湿度(2.1%)读数误差极小,土壤水分传感器的误差为 3.65%。系统保持最佳状态,Blynk 应用程序有效地显示数据。这项创新减少了人为误差,提高了兰花栽培效率,有望应用于其他敏感植物系统。 亮点: 减少错误:物联网系统将兰花栽培中的人为错误降至最低。传感器精度:DHT-22 传感器的温度(0.9%)和湿度(2.1%)误差极小。最佳条件:空气湿度保持在 40%-80%RH 之间,苔藓湿度保持在 50%-80%RH 之间。 关键词 兰科植物 物联网自动化 传感器精度 环境控制 兰花栽培
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IoT revolutionizes orchid cultivation in Indonesia with precision and efficiency
The Orchidaceae family is highly valued in ornamental, perfume, medical, and cosmetic industries, but cultivation often fails due to human error. This research aims to design an IoT-integrated automation system to monitor and control key parameters such as air temperature, humidity, and moss moisture for orchid cultivation. Using the research and development method, we observed plant needs, reviewed relevant literature, designed an effective system, and tested sensor accuracy and system reliability. Results showed the DHT-22 sensor had a minimal error in temperature (0.9%) and humidity (2.1%) readings, and the soil moisture sensor had a 3.65% error. The system maintained optimal conditions, and the Blynk app effectively displayed data. This innovation reduces human error and enhances orchid cultivation efficiency, with potential applications in other sensitive plant systems.   Highlight:  Error Reduction: IoT system minimizes human error in orchid cultivation. Sensor Accuracy: DHT-22 sensors show minimal temperature (0.9%) and humidity (2.1%) errors. Optimal Conditions: Maintains air humidity 40%-80%RH and moss moisture 50%-80%RH.     Keyword:  Orchidaceae, IoT automation, sensor accuracy, environmental control, orchid cultivation
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