Implementation of real-time fuzzy logic control for NFT-based hydroponic system on Internet of Things environment

Yolanda, Desta; Hindersah, Hilwadi; Hadiatna, Febrian; Agus, Triawan Muhammad

doi:10.1109/fit.2016.7857556

Cited by 8 publications

(9 citation statements)

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“…An Arduino UNO microcontroller board is connected to Dragino LoRa shield, a long range transceiver based on the open-source library. Then, a customized circuit design consists of DHT22 sensor module is interfaced to the Arduino interface [21][22][23]. The calibrated temperature and humidity digital signal from DHT22 are transmitted to the TTN via LoRaWAN on AS923 frequency scheme.…”

Section: Methodsmentioning

confidence: 99%

Implementation of embedded real-time monitoring temperature and humidity system

Hashim

Mohamad

Kassim

et al. 2019

IJEECS

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<span>Temperature and humidity are among the parameters that significant to the industrial and agricultural. Traditionally, these elements are monitored inefficiently through wired monitoring system that caused higher implementation and maintenance cost. In addition, the device to detect the temperature such thermometer is not suitable for real-time monitoring since it need a longer response time to measure. With the advent of wireless technology, the temperature and humidity are monitored remotely and effectively. This paper aims to describe the implementation of an embedded real-time temperature and humidity monitoring system, using Arduino for Internet of Things (IoT) application. The system integrates the Arduino node with a dashboard system call Node-FRED, which interfaced to the LoRa radio through the Things Network gateway. This IoT application is deployed on both indoor and outdoor environment, to investigate the relation between the temperature and humidity level in order to manage the environment at more comfort level.</span>

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Section: Methodsmentioning

confidence: 99%

Implementation of embedded real-time monitoring temperature and humidity system

Hashim

Mohamad

Kassim

et al. 2019

IJEECS

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“…Ray (2017) provides an overview of various commercial IoT-based agriculture sensor systems, some of which are suitable for hydroponics and aquaponics farming (e.g., Bitponics, Open garden, and Niwa). Other studies (De Silva and De Silva, 2016; Yolanda et al, 2016; Charumathi et al, 2017) propose instead “new” IoT architectures for hydroponics and aquaponics farming, based on sensors, data loggers, actuators, and software tools (e.g., Arduino).…”

Section: Perspectivesmentioning

confidence: 99%

Hydroponic Solutions for Soilless Production Systems: Issues and Opportunities in a Smart Agriculture Perspective

et al. 2019

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Soilless cultivation represent a valid opportunity for the agricultural production sector, especially in areas characterized by severe soil degradation and limited water availability. Furthermore, this agronomic practice embodies a favorable response toward an environment-friendly agriculture and a promising tool in the vision of a general challenge in terms of food security. This review aims therefore at unraveling limitations and opportunities of hydroponic solutions used in soilless cropping systems focusing on the plant mineral nutrition process. In particular, this review provides information (1) on the processes and mechanisms occurring in the hydroponic solutions that ensure an adequate nutrient concentration and thus an optimal nutrient acquisition without leading to nutritional disorders influencing ultimately also crop quality (e.g., solubilization/precipitation of nutrients/elements in the hydroponic solution, substrate specificity in the nutrient uptake process, nutrient competition/antagonism and interactions among nutrients); (2) on new emerging technologies that might improve the management of soilless cropping systems such as the use of nanoparticles and beneficial microorganism like plant growth-promoting rhizobacteria (PGPRs); (3) on tools (multi-element sensors and interpretation algorithms based on machine learning logics to analyze such data) that might be exploited in a smart agriculture approach to monitor the availability of nutrients/elements in the hydroponic solution and to modify its composition in realtime . These aspects are discussed considering what has been recently demonstrated at the scientific level and applied in the industrial context.

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“…Research conducted in [98,96] shows that the steady-state time (i.e. time to reach the targeted value) of fuzzy logic-based EC controller is around 110 sec, which is quite slow.…”

Section: Artificial Intelligence (Ai) Based Hydroponic Systemmentioning

confidence: 99%

“…[39] P Humidity, pH and Nutrients but no light were controlled. [41] P [42] [43] Survaillence camera is used to monitor plants Edge computing is used to reduce latency [90] P Computer is used for automation [91] P [92] PID [93,94] [95] [98,96] Fuzzy logic only www.astesj.com Fuzzy logic combined with Genetic algorithm to control pH [100,101] Computer directly reads the sensors. ANN is used for AI.…”

Section: Artificial Intelligence (Ai) Based Hydroponic Systemmentioning

confidence: 99%

A Survey of Smart Hydroponic Systems

Modu¹,

Adam²,

Aliyu³

et al. 2020

Adv. sci. technol. eng. syst. j.

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The explosion in human population has left researchers scrambling for solutions on how to feed the world. Furthermore, rural-urban immigration has on the one hand left the farms in the rural areas devoid of farmers and on the other hand has left the urban areas over-populated. Hydroponics is a form of agriculture where crops are grown without soil. This technique allows the farms to follow the farmers to the urban area. In addition, the fact that no soil is needed, allows hydroponic system to be stacked vertically (also known as vertical farming) to save space. The final frontier in hydroponics is automation. It will allow one farmer to work more than one job and cultivate more than one farm simultaneously. This paper provides a comprehensive survey on smart hydroponic system developed to date.

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Implementation of real-time fuzzy logic control for NFT-based hydroponic system on Internet of Things environment

Cited by 8 publications

References 0 publications

Implementation of embedded real-time monitoring temperature and humidity system

Implementation of embedded real-time monitoring temperature and humidity system

Hydroponic Solutions for Soilless Production Systems: Issues and Opportunities in a Smart Agriculture Perspective

A Survey of Smart Hydroponic Systems

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