Hybrid ZigBee and WiFi Wireless Sensor Networks for Hydroponic Monitoring

Samijayani, Octarina Nur; Darwis, Robi; Rahmatia, Suci; Mujadin, Anwar; Astharini, Dwi

doi:10.1109/icecce49384.2020.9179342

Cited by 27 publications

(11 citation statements)

References 4 publications

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“…For hydroponics plants, Samijayani et al [73] constructed an IoT-WSNs platform in agriculture with Hydroponic plants. Plant development is increasingly dependent on the availability of water and the surrounding environment.…”

Section: Iot Wsns-greenhouse Monitoring System Basismentioning

confidence: 99%

Internet of things based wireless sensor network: a review

Nourildean

Hassib

Mohammed

2022

IJEECS

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Recently, Internet of Things (IoT) technologies are developing technology with a variety of applications. The Internet of Things (IoTs) is defined as a network of ordinary objects such as Internet TVs, smartphones, actuators and sensors that are smartly connected together to enable new types of communication between people and things as well as between things themselves. Wireless sensor networks (WSNs) play an important part in Internet of Things (IoT) technology. A contribution to wireless sensor networks and IoT applications is wireless sensor nodes’ construction with high-speed CPUs and low-power radio links. The IoT-based wireless Sensor network (WSN) is a game-changing smart monitoring solution. ZigBee standard is an important wireless sensor network (WSN) and Internet of Things (IoT) communication protocol in order to facilitate low-power, low-cost IoT applications and to handle numerous network topologies. This paper presented a review on the energy efficient and routing topologies of ZigBee WSN, applications of IoT enabled Wireless Sensor Network as well IoT WSN security challenges.

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Section: Iot Wsns-greenhouse Monitoring System Basismentioning

confidence: 99%

Internet of things based wireless sensor network: a review

Nourildean

Hassib

Mohammed

2022

IJEECS

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“…The framework showed an example applied to a hydroponic room of vegetables for monitoring and controlling several physical variables (e.g., temperature, humidity, CO 2 , air flow, lighting and fertilizer concentration, balance and pH). Samijayani et al [12] implemented wireless sensor networks with Zigbee and Wi-Fi for hydroponics plants. The networks are used by the Zigbee-based transceiver in the sensor node and the Wi-Fi-based gateway in the coordinator node.…”

Section: Related Workmentioning

confidence: 99%

“…The proposed system collects 13 types of strawberry growth environment data, whereas the environmental information monitored in the previous related works [5][6][7][8][9][10][11][12][13] consisted of two to eight types. By collecting more environmental information compared to the related works, it is possible to access more diverse methods when analyzing the growing environment.…”

Section: Related Workmentioning

confidence: 99%

“…By collecting more environmental information compared to the related works, it is possible to access more diverse methods when analyzing the growing environment. As the related works [5][6][7][8][9][10][11][12][13] involve simply collecting environmental data or simply storing the collected data in the cloud, the addition of functions to the related works is limited. By contrast, the proposed method is designed to facilitate function expansion and analysis, as it consists of an IoT-Edge module and a nano-sized private AI-Cloud module.…”

Section: Related Workmentioning

confidence: 99%

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Design and Implementation of a Hydroponic Strawberry Monitoring and Harvesting Timing Information Supporting System Based on Nano AI-Cloud and IoT-Edge

Park

Kim

2021

Electronics

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The strawberry market in South Korea is actually the largest market among horticultural crops. Strawberry cultivation in South Korea changed from field cultivation to facility cultivation in order to increase production. However, the decrease in production manpower due to aging is increasing the demand for the automation of strawberry cultivation. Predicting the harvest of strawberries is an important research topic, as strawberry production requires the most manpower for harvest. In addition, the growing environment has a great influence on strawberry production as hydroponic cultivation of strawberries is increasing. In this paper, we design and implement an integrated system that monitors strawberry hydroponic environmental data and determines when to harvest with the concept of IoT-Edge-AI-Cloud. The proposed monitoring system collects, stores and visualizes strawberry growing environment data. The proposed harvest decision system classifies the strawberry maturity level in images using a deep learning algorithm. The monitoring and analysis results are visualized in an integrated interface, which provides a variety of basic data for strawberry cultivation. Even if the strawberry cultivation area increases, the proposed system can be easily expanded and flexibly based on a virtualized container with the concept of IoT-Edge-AI-Cloud. The monitoring system was verified by monitoring a hydroponic strawberry environment for 4 months. In addition, the harvest decision system was verified using strawberry pictures acquired from Smart Berry Farm.

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“…Several protocols have been described in the bibliography for the deployment of WSN in precision agriculture (PA) [11,12]. Zigbee is one of the most commonly used technologies in recent years with positive results [13][14][15][16][17][18], although it is claimed that ZigBee communication has the problem of short distance, complicated networking and high communication frequency [19]. From the experience of our research group in previous installations, in which we deployed WSNs with Zigbee nodes [20][21][22][23], we found significant drawbacks such as the high maintenance required by the nodes, the difficulty of programming the Zigbee stack, the high price of the software licenses and the limited availability of microcontrollers that supported this stack.…”

Section: Introductionmentioning

confidence: 99%

High-Density Wi-Fi Based Sensor Network for Efficient Irrigation Management in Precision Agriculture

et al. 2021

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The application of deficit irrigation techniques is essential in arid or semi-arid areas of the southeast of Spain, where water is a scarce and very costly resource. However, to apply these techniques, it is necessary to carry out preliminary tests on the specific crop in order to develop the models that allow the optimization of water use while achieving acceptable yields. The system proposed in this article demonstrates the feasibility of using wireless technologies available in most facilities (Wireless Fidelity) to deploy a high-density network of nodes with a variety of heterogeneous sensors to collect data from the soil, plant, and atmosphere. The data are sent and stored in a cloud server for real-time visualization from any mobile device and further analysis. The nodes have been developed using low-cost processors and are equipped with batteries and solar panels, allowing their autonomy to be virtually unlimited, as shown by the consumption studies and tests carried out.

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Hybrid ZigBee and WiFi Wireless Sensor Networks for Hydroponic Monitoring

Cited by 27 publications

References 4 publications

Internet of things based wireless sensor network: a review

Internet of things based wireless sensor network: a review

Design and Implementation of a Hydroponic Strawberry Monitoring and Harvesting Timing Information Supporting System Based on Nano AI-Cloud and IoT-Edge

High-Density Wi-Fi Based Sensor Network for Efficient Irrigation Management in Precision Agriculture

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