Web-based monitoring and control system for aeroponics growing chamber

Sani, Muhammad Ikhsan; Siregar, Simon; Kumiawan, Aris Pujud; Jauhari, Rakhmi; Mandalahi, Chintya Nermelita

doi:10.1109/iccerec.2016.7814977

Cited by 20 publications

(12 citation statements)

References 5 publications

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“…However, the system can automatically transfer all the gathered information to a web server and also share on Twitter. Sani et al [43] recommended a web-based control and monitoring system for the aeroponic system. Their system was composed of microcontrollers (using Arduino IDE program), actuators (two relays include atomization spray and fan on/off on specific time), the sensor (temperature and pH sensor), LDR (light intensity sensor), and communication modules (GSM/GPRS/3G modem).…”

Section: Related Workmentioning

confidence: 99%

Monitoring and Control Systems in Agriculture Using Intelligent Sensor Techniques: A Review of the Aeroponic System

et al. 2018

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In recent years, intelligent sensor techniques have achieved significant attention in agriculture. It is applied in agriculture to plan the several activities and missions properly by utilising limited resources with minor human interference. Currently, plant cultivation using new agriculture methods is very popular among the growers. However, the aeroponics is one of the methods of modern agriculture, which is commonly practiced around the world. In the system, plant cultivates under complete control conditions in the growth chamber by providing a small mist of the nutrient solution in replacement of the soil. The nutrient mist is ejected through atomization nozzles on a periodical basis. During the plant cultivation, several steps including temperature, humidity, light intensity, water nutrient solution level, pH and EC value, CO2concentration, atomization time, and atomization interval time require proper attention for flourishing plant growth. Therefore, the object of this review study was to provide significant knowledge about early fault detection and diagnosis in aeroponics using intelligent techniques (wireless sensors). So, the farmer could monitor several paraments without using laboratory instruments, and the farmer could control the entire system remotely. Moreover, the technique also provides a wide range of information which could be essential for plant researchers and provides a greater understanding of how the key parameters of aeroponics correlate with plant growth in the system. It offers full control of the system, not by constant manual attention from the operator but to a large extent by wireless sensors. Furthermore, the adoption of the intelligent techniques in the aeroponic system could reduce the concept of the usefulness of the system due to complicated manually monitoring and controlling process.

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Section: Related Workmentioning

confidence: 99%

Monitoring and Control Systems in Agriculture Using Intelligent Sensor Techniques: A Review of the Aeroponic System

et al. 2018

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“…A web-based monitoring system with a data sensing module, management system, communication modules, and actuators tracks the climate data, plant health, and required nutrients to control them with a smart decision-making system. Renewable energy-driven artificially controlled smart aeroponics systems increase production while keeping costs and energy consumption minimum [34].…”

Section: Soilless Farmingmentioning

confidence: 99%

Smart Indoor Farms: Leveraging Technological Advancements to Power a Sustainable Agricultural Revolution

Hati

Singh

2021

AgriEngineering

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Conventional farming necessitates a large number of resources and infrastructure such as land, irrigation, manpower to manage farms, etc. Modern initiatives are required to automate conventional farms. Smart indoor farms offer the potential to remedy the shortfalls of conventional farms by providing a controlled, intelligent, and smart environment. This paper presents a three-dimensional perspective consisting of soilless farming, energy harvesting, and smart technologies, which could be considered as the three important characteristics of smart indoor farms. A six-layer smart indoor farms architecture has also been proposed, which explains how data are collected using various sensors and devices and then transmitted onto the cloud infrastructure for further analysis and control through various layers. Artificial lighting, smart nutrition management, and artificial climate control, to name a few, are some of the important requirements for smart indoor farms while considering control and service management factors. The major bottleneck in installing such systems is both the economical and the technical constraints. However, with the evolution of technology (and when they become widely available in the near future), a more favourable farming scenario may emerge. Furthermore, smart indoor farms could be viewed as a potential answer for meeting the demands of a sustainable agricultural revolution as we move closer to Agriculture 4.0. Finally, in order to adapt smart indoor farms and their study scope, our work has presented various research areas to potential researchers.

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“…Selama ini, sistem aeroponik yang marak berkembang adalah tipe dengan sistem pengendalian terbuka berbasis waktu untuk pengendalian periode penyemprotan pada akar tanaman, seperti sistem "Web-Based Monitoring and Control System for Aeroponics Growing Chamber" [5] juga "Automated Aeroponics System Using IoT for Smart Farming" [6]. Kedua sistem merupakan sistem pengawasan dan pengendalian tanaman aeroponik yang sudah terintegrasi dengan IoT, namun pengendalian pengkabutan tanaman dilakukan menggunakan timer yang dapat mengendalikan periode waktu pengabutan nutrisi pada akar.…”

Section: Pendahuluanunclassified

“…Gambar 6 (a) memperlihatkan proses penalaran fuzzy pada sistem kendali suhu dan kelembapan pada bagian akar dan tajuk, diawali dengan pembacaan input dari sensor suhu dan kelembaban akar dan tajuk tanaman menggunakan sensor DHT11. Apabila pewaktu telah menghitung hingga sepuluh menit, maka kendali fuzzy akan aktif sesuai dengan jurnal penelitian sebelumnya [5], dan menghasilkan output durasi penyiraman. Namun apabila pewaktu belum menghitung hingga sepuluh menit, maka pembacaan sensor suhu dan kelembapan terus dilakukan.…”

Section: Gambar 4 Diagram Alir Kendali Sistemunclassified

Pengendalian Suhu dan Kelembapan Sistem Aeroponik Tanaman Stroberi Berbasis IOT Menggunakan Fuzzy Logic

Suryatini

Purnomo

Delistiani

2020

JTRM

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Penanaman tanaman stroberi secara konvensional cukup sulit dilakukan karena membutuhkan ruang, tenaga kerja, air, serta lahan yang subur. Karenanya, penanaman tanaman tanpa tanah dapat diterapkan. Sistem aeroponik adalah penanaman menggunakan media udara. Akar tanaman dibiarkan menggantung dan disemprot nutrisi. Keistimewaannya adalah dapat mengurangi konsumsi air, pupuk, dan pemaksimalan lahan. Pada penelitian ini mist nozzle dikendalikan oleh mikrokomputer menggunakan logika Fuzzy untuk menyemprot bagian akar dan tajuk dengan masukan sensor suhu dan kelembapan. Kebutuhan nutrisi akar dikendalikan dengan metode on-off. LED dikendalikan menurut waktu. Kadar pH pada tandon nutrisi dapat diawasi menggunakan sensor pH. Sistem dapat diawasi dan dikendalikan dengan antarmuka pada Android. Hasil penelitian menunjukkan ketercapaian nilai rata-rata kebutuhan suhu akar yakni 23,3℃ dari rentang 18-30℃, dan suhu tajuk 21,5℃ dari rentang 14-25℃. Selain itu, kelembapan akar dan tajuk juga masuk dalam rentang kebutuhan 85-95% yakni 89% dan 93%. Sistem pengawasan dan pengendalian dapat dilakukan dari jarak jauh dengan menggunakan aplikasi Blynk.

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Web-based monitoring and control system for aeroponics growing chamber

Cited by 20 publications

References 5 publications

Monitoring and Control Systems in Agriculture Using Intelligent Sensor Techniques: A Review of the Aeroponic System

Monitoring and Control Systems in Agriculture Using Intelligent Sensor Techniques: A Review of the Aeroponic System

Smart Indoor Farms: Leveraging Technological Advancements to Power a Sustainable Agricultural Revolution

Pengendalian Suhu dan Kelembapan Sistem Aeroponik Tanaman Stroberi Berbasis IOT Menggunakan Fuzzy Logic

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