Web-based irrigation management for open canals using Wireless Sensor Networks

Hassan, Ayman M.

doi:10.1109/icwise.2013.6728789

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…Coates et al (2012) describe sensor network based precision irrigation and problems and challenges of agricultural water management and how to improve water use effectiveness. WSNs are used in managing crop irrigation from open canals using water pumps in delta of Egypt (Hassan, 2013). Qu et al (2014) developed a WSN system to take automatic crop leaf area index (LAI) measurements that are suitable for validating the remotely sensed images.…”

Section: Agriculture Applicationsmentioning

confidence: 99%

Wireless sensor networks for extreme environments: remote sensing and space industry

Telbany¹,

Maged²

2019

IJHI

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The adoption of wireless sensor networks (WSNs) for environmental monitoring is currently considered one of the most challenging applications for this emerging technology. These set of sensors that collaboratively perform embedded sensing and communication tasks owned features such as low cost, flexibility, fault tolerance, high sensing fidelity, creating many new and exciting applications for remote sensing and space industry where many essential phenomena have hardly been investigated. In this paper, a state-of-art survey clearly shows the WSNs have been successfully implemented and tested in remote sensing applications. Morevever, the developments and challenges in design WSNs for space-based application are discussed in order boost the use of WSNs in remote sensing and space industry in Egypt.

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Section: Agriculture Applicationsmentioning

confidence: 99%

Wireless sensor networks for extreme environments: remote sensing and space industry

Telbany¹,

Maged²

2019

IJHI

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“…In [10], Patricia et al has presented the implementation of cost effective smart irrigation system using modified wireless sensor network. Ayman et al [11] has demonstrated the configuration of a wireless sensor network for management of crop irrigation from canals. The system consists of flow sensors, water level sensors, gateway and an irrigation management platform.…”

Section: Various Work On Automated Irrigation Systemmentioning

confidence: 99%

A Simulation Model for the Smart Irrigation System using Arduino

Hangsing¹,

P²,

Rajesh³

2019

International Journal of Advanced Research in Computer and Comm

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Irrigating the crop is one of the greatest challenges in agriculture. This irrigation process consumes significant amount of time, when a farmer has to irrigate multiple agriculture fields across different geographical areas. Therefore, we propose a model for the smart automated irrigation system. Initially, the environmental data such as soil moisture level, humidity and temperature have been acquired from the different sensor nodes placed across the agricultural field. Then, the microcontroller estimates the soil temperature and moisture level from the acquired data and start the irrigation process accordingly. When the irrigation process is over, the physical parameters such as humidity, temperature and volume of water irrigated can be uploaded to the cloud server. Later, the user can access the cloud-server for viewing the status of the irrigation system. This system will definitely help the farmers to effectively irrigate the agricultural field.

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“…The plants successively assimilate the nutrients, reducing or eliminating the toxicity of the water that was harmful to the aquatic animal. The water, now clean, is returned to the aquatic animal surroundings and the cycle continues (Hussain et al, 2013). Thus, this nutrient removal not only cleans or improves water quality for the aquatic animals but also reduces the overall water consumption.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Smart Aquaponics Farming Using IoT and Data Analytics

Paul

Agnihotri

Kavya

et al. 2022

Journal of Information Technology Research

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Traditional agriculture is facing numerous serious issues such as climate variation, population rise, water scarcity, soil degradation, and food security and many more. Though, Aquaponics is a promising solution, research on building an economically feasible smart Aquaponics system is still a challenge. In this paper, a sustainable smart Aquaponics system using Internet of Things (IOT) and Data Analytics is proposed. The acquired data from sensors such as Ph sensor, and temperature sensor, is analyzed using machine learning techniques to interpret the health of the system. Further, the proposed system includes automated fish feeder which is controlled by Raspberry Pi to automate and reduce the maintenance issues. The android application helps the user to remotely control and monitor the health of the system and also track the critical system parameters. Further the system is driven by the solar power to make it sustainable. A comprehensive survey on the key aspects of Aquaponics including comparison of the proposed model with the traditional aquaponics model is also presented.

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Web-based irrigation management for open canals using Wireless Sensor Networks

Cited by 6 publications

References 2 publications

Wireless sensor networks for extreme environments: remote sensing and space industry

Wireless sensor networks for extreme environments: remote sensing and space industry

A Simulation Model for the Smart Irrigation System using Arduino

Sustainable Smart Aquaponics Farming Using IoT and Data Analytics

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