Prototype NFT/DFT Hydroponic Data Collection Using IoT System

Adh, Igkg Puritan Wijaya; Hendrawan, I Nyoman Rudy; Gautama, I Made Bhaskara; Budhi, I Made Arya; Arsa, I Gusti Ngurah Wikranta

doi:10.1109/icoris56080.2022.10031337

Cited by 2 publications

(3 citation statements)

References 18 publications

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“…In this research, an automatic control system controlled humidity, greenhouse temperature, water level measurement and receive signal from sensor to allow the control panel to process and then command the relay to turn on the water pump to increase the amount of water and solution automatically. Greenhouses designed as a combination of Nutrient Film Technique (NFT) [28] and Deep Flow Technique (DFT) [29] are a plant growing method in which roots are directly immersed in the solution, a length of 8 meters, a width of 3 meters and a height of 2 meters. The size of the vegetable plot is 6 meters long, 2 meters wide and 90 centimeters high.…”

Section: Methodsmentioning

confidence: 99%

IoT-Based Automatic Hydro-Organic Smart Farming System in Greenhouse with Solar Panels for Khok Nong Na

Soodtoetong,

Channgam,

Gedkhaw

2023

Int. J. Onl. Eng.

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In this research, we propose IoT-Based Automatic Hydro-Organic Smart Farming System (AHOSFS) in Greenhouse with Solar Panels for Khok Nong Na, design and development with Internet of Things and solar energy. Data is collected from sensors for the following factors that affect plant growth: humidity, temperature, light, pH, EC, air quality, water temperature, and water level. The Firebase cloud-based application was used to collect all the data, and it enables farmers to monitor and control the system using their smartphones. The results showed AHOSFS can mix water and nutrient solution, which measure pH of 6.61 and EC of 1.23, control water level and mix nutrient solution in appropriate quantities. Green oak can thrive at pH levels between 6.0 and 7.0, EC levels between 1.1 and 1.7, and humidity level between 75 and 85. The sensor measured temperature value between 18 and 25 °C, which was adequate for the growth of green oak. Sensor also measured water temperature between 25 and 28 °C. The comparative value of cultivation in a hydro-organic system deployed between AB solution, organic fertilizer Formula 1 and Formula 2 found that organic fertilizer formula 1 has an effective and approximate AB solution at 81.64%. The fertilizer formula 2 has AB solution at 89.72%, which was more secure at a comparable level.

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Section: Methodsmentioning

confidence: 99%

IoT-Based Automatic Hydro-Organic Smart Farming System in Greenhouse with Solar Panels for Khok Nong Na

Soodtoetong,

Channgam,

Gedkhaw

2023

Int. J. Onl. Eng.

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“…Firstly, EC probes have a short life span and cannot be left in the solution indefinitely [ 24 , 28 ]. Separate measuring tanks [ 22 , 25 ] or pumping the solution through a pipe with mounted sensors [ 26 ] have been proposed but do not address the durability concerns of EC probes. Secondly, because EC probes administer small electrical currents in the water, they are prone to interference from other water sensors that may also use similar techniques.…”

Section: Introductionmentioning

confidence: 99%

“…These probes easily integrate with consumer grade IoT systems to manage nutrient content [12]. There has been substantial work in nutrient management systems for MSHS application using the standard EC probe approach [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

A low-cost spectroscopic nutrient management system for Microscale Smart Hydroponic system

Stevens,

Murray,

Diepeveen

et al. 2024

PLoS ONE

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Hydroponics offers a promising approach to help alleviate pressure on food security for urban residents. It requires minimal space and uses less resources, but management can be complex. Microscale Smart Hydroponics (MSH) systems leverage IoT systems to simplify hydroponics management for home users. Previous work in nutrient management has produced systems that use expensive sensing methods or utilized lower cost methods at the expense of accuracy. This study presents a novel inexpensive nutrient management system for MSH applications that utilises a novel waterproofed, IoT spectroscopy sensor (AS7265x) in a transflective application. The sensor is submerged in a hydroponic solution to monitor the nutrients and MSH system predicts the of nutrients in the hydroponic solution and recommends an adjustment quantity in mL. A three-phase model building process was carried out resulting in significant MLR models for predicting the mL, with an R2 of 0.997. An experiment evaluated the system’s performance using the trained models with a 30-day grow of lettuce in a real-world setting, comparing the results of the management system to a control group. The sensor system successfully adjusted and maintained nutrient levels, resulting in plant growth that outperformed the control group. The results of the models in actual deployment showed a strong, significant correlation of 0.77 with the traditional method of measuring the electrical conductivity of nutrients. This novel nutrient management system has the potential to transform the way nutrients are monitored in hydroponics. By simplifying nutrient management, this system can encourage the adoption of hydroponics, contributing to food security and environmental sustainability.

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Prototype NFT/DFT Hydroponic Data Collection Using IoT System

Cited by 2 publications

References 18 publications

IoT-Based Automatic Hydro-Organic Smart Farming System in Greenhouse with Solar Panels for Khok Nong Na

IoT-Based Automatic Hydro-Organic Smart Farming System in Greenhouse with Solar Panels for Khok Nong Na

A low-cost spectroscopic nutrient management system for Microscale Smart Hydroponic system

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