A smart IoT-based hydroponics system for small-scale household in Bangladesh

IF 5.7 Q1 AGRICULTURAL ENGINEERING
Md. Abdul Awal, Aditi Saha Pio, Mushfaka Jannat Mim, Pronab Kumar Paul Partha, Md. Abdullah Al Kafi, Shareen Farha
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Abstract

In Bangladesh, intensified growth in populations, diminishing arable area, and traditional farming strategies have stunted soil fertility and crop yield. Hydroponic systems become more preferred as a viable alternative for beneficial production of agriculture. Precise environmental monitoring is essential for maximizing yields; yet, existing data collection techniques are laborious and time-consuming. Real-time monitoring of essential factors in hydroponic systems may successfully mitigate these substantial obstacles to improving crop performance. This study developed an IoT-based automated monitoring and control system for the continuous measurement of important hydroponic parameters, including pH, temperature, total dissolved solids (TDS), and electrical conductivity (EC) and conducted it with the spinach (Spinacia oleracea) plant for field tests. The system incorporated sensors with a microcontroller and relied on Wi-Fi connection for real-time data processing through a developed mobile application. Performance testing showed good precision, with percentages of errors of 0.001 % (pH), 0.306 % (temperature), 0.062 % (TDS), and 0.002 % (EC) compared to the observed and measured data. The system automatically activated relays to regulate acid and nutrient control pumps when parameters fell below thresholds, notifying users through the mobile app for prompt intervention. After implementing this system for spinach cultivation, ideal conditions were maintained consistently, resulting in an average value of pH 6.08 ± 0.15, temperature 26 ± 1.2 °C, TDS 1150 ± 198 ppm, and EC 1.7 ± 0.45 mS/cm, approximately. Hence, this developed technology offered a feasible solution for hydroponics management issues and could be adopted extensively to improve agricultural productivity.
孟加拉国小型家庭的智能物联网水培系统
在孟加拉国,人口的急剧增长、耕地面积的减少和传统的农业战略阻碍了土壤肥力和作物产量。水培系统作为有益农业生产的可行替代方案越来越受到青睐。精确的环境监测对于最大限度地提高产量至关重要;然而,现有的数据收集技术既费力又耗时。对水培系统中关键因素的实时监测可能会成功地减轻这些对提高作物性能的重大障碍。本研究开发了一种基于物联网的自动化监测和控制系统,用于连续测量重要的水培参数,包括pH、温度、总溶解固形物(TDS)和电导率(EC),并在菠菜(Spinacia oleracea)植物上进行了田间试验。该系统将传感器与微控制器结合在一起,通过开发的移动应用程序依靠Wi-Fi连接进行实时数据处理。性能测试结果表明,与观测值和实测值相比,其误差百分比分别为0.001 % (pH)、0.306 %(温度)、0.062% (TDS)和0.002% (EC)。当参数低于阈值时,系统自动激活继电器来调节酸和营养控制泵,并通过移动应用程序通知用户及时干预。应用该系统进行菠菜栽培后,保持了理想的条件,平均pH值为6.08±0.15,温度为26±1.2℃,TDS为1150±198 ppm, EC为1.7±0.45 mS/cm。因此,该技术为水培管理问题提供了可行的解决方案,可广泛应用于提高农业生产力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
4.20
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