IOT based Water Level Monitoring and Implementation on both Agriculture and Domestic Areas

Jisha, R C; Vignesh, G.J.; Deekshit, D

doi:10.1109/icicict46008.2019.8993272

Cited by 15 publications

(4 citation statements)

References 7 publications

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“…Jisha et al [90] proposed a system for domestic sectors and large agricultural fields, which is an IoT-based technical solution for water management that incorporates various sensors, cloud storage, and so on. Aside from decision-making methods such as automatic power cuts, the system sends relevant alert messages to users' smartphones when there is excessive water use.…”

Section: What Are the Current Smart Water Application Design Techniqu...mentioning

confidence: 99%

Building a Smart Water City: IoT Smart Water Technologies, Applications, and Future Directions

Okoli,

Kabaso

2024

Water

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Water is an essential service for the sustainable development and economic competitiveness of any country. The global water demand has increased substantially due to economic development, climate change, and rising population. The Internet of Things (IoT) and Information and Communication Technologies (ICT) can help conserve available water resources. Smart cities apply IoT to boost the performance and efficiency of urban facilities. Smart cities are towns created to use IoT and ICT (innovative technologies) such as smart water applications. Several studies on smart water technology have been conducted, but there is a need to review current research that leverages the IoT as a communication technology to design effective smart water applications. This review paper is aimed at presenting evidence on the current design of smart water applications. The study also covers publication statistics to increase collaboration between stakeholders. Findings show that various technologies such as microcontrollers, embedded programming languages, sensors, communication modules, and protocols are used by researchers to accomplish their aim of designing IoT-based smart water solutions. None of the publications employed the 5G mobile networks as a communication module for their smart water application development. Findings further show that the integration of 3D printing and solar energy into IoT-based smart water applications is revolutionary and can increase the sustainability of the systems. Future directions required to ensure that developed smart water applications are widely adopted to help conserve and manage water resources are suggested.

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Section: What Are the Current Smart Water Application Design Techniqu...mentioning

confidence: 99%

Building a Smart Water City: IoT Smart Water Technologies, Applications, and Future Directions

Okoli,

Kabaso

2024

Water

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“…Numerous studies have investigated the application of digital technology to agricultural support [3][6]. Applied agricaltural research that uses data collected by physical sensors includes a warning system that monitors the water level in agricultural water tanks [7], crop health diagnosis using image analysis, and control of environmental parameters through IoT [8]. Although these past studies have shown that methods using physical sensors effectively improve work efficiency, in many cases, all of these efforts have focused on one specific task and have been unable to adequately capture the more subjective changing agricaltural crop and environmental conditions.…”

Section: Literature Reviewmentioning

confidence: 99%

Fusion of Physical and Human Sensors for Condition Prediction

Inoue,

Toya,

Ogawa

et al. 2023

IIAI Letters on Informatics and Interdisciplinary Research

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In recent years, the internet of things (IoT) has been used effectively in smart agriculture, where farmers can make decisions and transfer knowledge based on sensor data. However, the physical sensors (temperature, humidity, and illuminance sensors) of IoT systems have limitations in capturing various changes in crops and environment in the actual fields. Combining physical sensors with the human five senses (human sensors) can flexibly record changes that cannot be captured by physical sensors alone. In this study, a smart voice messaging system is used for recording the five human senses via voice messages. Assisted by machine learning, preliminary experiments are conducted using planter boxes for predicting soil condition in the watering process. Our results confirm the effectiveness and validation of fusing physical and human sensors.

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“…IoT-based solutions are investigated in order to help drive decisions in many agricultural areas, mainly water management and agriculture monitoring. These solutions can collect data from the farm's environment using networking protocols and standards, such as RFID, 4G/5G, LoWPAN, IEEE 802.15.x, and the future 6G [45][46][47][48][49][50][51][52].…”

Section: Data Generated By Machine (Dgm)mentioning

confidence: 99%

Data Management and Integration of Low Power Consumption Embedded Devices IoT for Transforming Smart Agriculture into Actionable Knowledge

2022

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Smart agriculture today uses a wide range of wireless communication technologies. Low Power Consumption Embedded Devices (LPCED), such as the Internet of Things (IoT) and Wireless Sensor Networks, make it possible to work over great distances at a reduced cost but with limited transferable data volumes. However, data management (DM) in intelligent agriculture is still not well understood due to the fact that there are not enough scientific publications available on this. Though data management (DM) benefits are factual and substantial, many challenges must be addressed in order to fully realize the DM’s potential. The main difficulties are data integration complexities, the lack of skilled personnel and sufficient resources, inadequate infrastructure, and insignificant data warehouse architecture. This work proposes a comprehensive architecture that includes big data technologies, IoT components, and knowledge-based systems. We proposed an AI-based architecture for smart farming. This architecture called, Smart Farming Oriented Big-Data Architecture (SFOBA), is designed to guarantee the system’s durability and the data modeling in order to transform the business needs for smart farming into analytics. Furthermore, the proposed solution is built on a pre-defined big data architecture that includes an abstraction layer of the data lake that handles data quality, following a data migration strategy in order to ensure the data’s insights.

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IOT based Water Level Monitoring and Implementation on both Agriculture and Domestic Areas

Cited by 15 publications

References 7 publications

Building a Smart Water City: IoT Smart Water Technologies, Applications, and Future Directions

Building a Smart Water City: IoT Smart Water Technologies, Applications, and Future Directions

Fusion of Physical and Human Sensors for Condition Prediction

Data Management and Integration of Low Power Consumption Embedded Devices IoT for Transforming Smart Agriculture into Actionable Knowledge

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