用于油菜生产实时控制和监测的智能气培系统

Cris Ramil Calzita, Kehndee Ann Jubilo, Glenn Permejo, Roxcella Reas, Jonah Jahara G. Baun, Ronnie S. Concepcion, J. A. D. Leon, A. Bandala, A. Mayol, R. R. Vicerra, E. Dadios
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引用次数: 0

摘要

近年来,城市农业变得越来越流行,因为社区开始更多地关注现在消费的产品的质量。气培法是一种新的城市农业技术,比传统农业更有效,因为它是在没有土壤的情况下种植植物,在根部喷洒营养液。然而,对栽培环境的监测和环境因子的控制是实现高效气培的关键。本研究的重点是开发一种基于物联网的生菜气培系统智能监控机制,以实现生菜的有效生产。系统基于温度、根系相对湿度、光照强度对数据采集系统中的生长参数进行实时监测。该系统能够随着时间的推移自动调节每个样品接收的光量,并在环境温度过高时自动激活热电冷却系统、排气和mister。监测系统在测试时每分钟有效地记录预期的增长参数,并能够将记录的数据存储在逗号分隔值(CSV)文件格式中。系统从传感器获取的温度、湿度和光照强度的记录值均在沉降、阈值或每日量的范围内。通过智能手机或个人电脑,可以在开发的web应用程序中成功访问实时数据。这一制度对社会及其消费者产生了积极的金融影响。
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Intelligent Aeroponic System for Real-time Control and Monitoring of Lactuca Sativa Production
Urban farming is becoming more popular in recent years as the community began to focus more on the product's quality that is now being consumed. Aeroponics is one of the new urban farming techniques that is more effective than traditional farming since it involves growing plants without soil using nutrient solutions sprayed into the roots. However, proper monitoring of the cultivation environment and control of environmental factors is crucial for efficient aeroponic farming. This study focuses on developing an IoT-based-intelligent monitoring and controlling mechanism of an aeroponic system for the effective production of lettuce (Lactuca sativa). Raspberry Pi is employed for the system's real-time monitoring capabilities of growth parameters in the data collection system based on temperature, relative humidity with respect to the root system, and light intensity. The system is capable of automatically adjusting the amount of light each sample will receive over time and automatically activates the thermoelectric cooling system, exhaust, and mister anytime the ambient temperature is too high for plant development. The monitoring system effectively logged the expected growth parameters per minute upon testing and was able to store the logged data in a Comma-Separated Value (CSV) file format. The recorded values retrieved by the system from the sensors for temperature, humidity, and light intensity were within the range of the settling, threshold, or daily amount. The real-time data can be accessed successfully in the developed web application via smartphones or personal computers. This system offers a positive financial impact on society and its consumers.
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