Smart hydroponic farming with IoT-based climate and nutrient manipulation system

Perwiratama, Rangga; Setiadi, Yosef Kely; Suyoto, '

doi:10.1109/icaiit.2019.8834533

Cited by 13 publications

(4 citation statements)

References 12 publications

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“…By means of both rotation and revolution of the material in a container, materials are mixed and degassed. e materials are placed under an acceleration of 400 G, in which even materials of very high viscosity can be mixed and deaerated or degassed at the same time [21]. Figure 5 shows the principle in action of two slabs of modelling clay that are completely mixed in a couple of minutes.…”

Section: Planetary Mixturementioning

confidence: 99%

[Retracted] Performance Analysis and Development of a Semiconductor Junction Rectifier with Multicolor Coding for Indoor Farm Applications

Ruby

Umadevi²,

Pappa

et al. 2021

Advances in Materials Science and Engineering

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This paper aims to build a smart lighting system with applications such as remote for controlling power supply and optimizing heat management in the metal body of the semiconductor diode and with a printed circuit board for agriculture. The semiconductor diode strips with multiple colors are lined up and configured as a LED lamp with proper casing and heat sink. It has a driver circuit with required power regulation that is able to control the intensity of light for photosynthesis and plant growth requirements. The system uses hydroponics to plant the water, thus decreasing the usage of fertilizers. The entire system is controlled remotely using necessary communication interface application.

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Section: Planetary Mixturementioning

confidence: 99%

[Retracted] Performance Analysis and Development of a Semiconductor Junction Rectifier with Multicolor Coding for Indoor Farm Applications

Ruby

Umadevi²,

Pappa

et al. 2021

Advances in Materials Science and Engineering

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“…The plants grown in the proposed system is compared with those developed using the traditional method, where the fertilisers were added manually every week. The system's performance is observed through plant growth measurement with 11 weeks of data shown in Figure 12 and the relative growth rate(RGR) calculated using equation ( 1) [12] is shown in Figure 13.…”

Section: Resultsmentioning

confidence: 99%

“…IoT technology has been explored intensively in the agriculture field. In [12], Perwiratama et al used IoT in a smart hydroponic farming system that provides climate and nutrient information. The authors concluded that IoT could help humans do menial tasks in agriculture, thus reducing human labour.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-based Nutrient System for Chili Cultivation in Urban Area

Hairu

Hanafi

Hang

et al. 2022

IJEEI

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The right level of nutrients is crucial for chilli cultivation as the crop requires different nutrient levels at different growth stages. The current fertiliser supply needs many human resources, which is time-consuming. Thus, an automatic nutrient controlling system giving the exact amount of fertiliser based on Fuzzy logic and IoT technology is proposed in this paper. The proposed system uses Hostinger platform to monitor water level, electrical conductivity (EC) and pH values in real-time. Fuzzy membership functions and rules decide the precise amount of nutrients to chilli plants based on the EC value and water level at each growth stage. The Fuzzy membership functions are designed according to the nutrients requirement in each chilli's phenological stage. The proposed system results are compared with the traditional approach, where fertilisers are supplied manually every week. The experiment results showed that the proposed system could meet the precise and automatic fertiliser addition requirement, eliminate human intervention and ensure the plants grew well.

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“…Internet of Thing is one of the non-destructive methods that have been used [29]. IoT can be used to monitor and control physical phenomena around agricultural environments such as temperature, light intensity, pH, and others [30], [31], [33]. Not only observing, but IoT also helps to determines the health condition of plants based on the image data [38].…”

Section: Related Workmentioning

confidence: 99%

Design of an Intelligent Hydroponics System to Identify Macronutrient Deficiencies in Chili

Rahadiyan¹,

Hartati²,

Wahyono³

et al. 2022

IJACSA

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Nutrient contents are important for plants. Lack of macronutrients causes plant damage. Several macronutrient deficiencies exhibit similar visual characteristics that are difficult for ordinary farmers to identify. Collaboration between Computer Vision technology and IoT has become a nondestructive method for nutrient monitoring and control, included in the hydroponic system. Computer vision plays a role in processing plant image data based on specific characteristics. However, the analysis of one characteristic cannot represent plant health. In addition, knowing the percentage of macronutrient deficiencies is also needed to support precision agriculture systems. Therefore, we propose a Multi Layer Perceptron architecture that can perform multi-tasks, namely, identification and estimation. In addition, the optimal architecture will also be sought based on the characteristics of the combination of three features in the form of texture, color, and leaf shape. Based on analysis and design, our proposed model has a high potential for identifying and estimating macronutrient deficiency at the same time as well and can be applied to support precision agriculture in Indonesia.

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Smart hydroponic farming with IoT-based climate and nutrient manipulation system

Cited by 13 publications

References 12 publications

[Retracted] Performance Analysis and Development of a Semiconductor Junction Rectifier with Multicolor Coding for Indoor Farm Applications

[Retracted] Performance Analysis and Development of a Semiconductor Junction Rectifier with Multicolor Coding for Indoor Farm Applications

Fuzzy-based Nutrient System for Chili Cultivation in Urban Area

Design of an Intelligent Hydroponics System to Identify Macronutrient Deficiencies in Chili

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