SWAMP: an IoT-based Smart Water Management Platform for Precision Irrigation in Agriculture

Kamienski, Carlos; Soininen, Juha-Pekka; Taumberger, Markus; Fernandes, Stênio; Toscano, Attilio; Cinotti, Tullio Salmon; Maia, Rodrigo Filev; Neto, André Torre

doi:10.1109/giots.2018.8534541

Cited by 68 publications

(40 citation statements)

References 10 publications

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“…In terms of real water management, and not only turning the irrigation off when the soil is still moist, not many works were found. The SWAMP project, by C. Kamienski [17][18][19], was the main research found. The project consists of a full system, from software to hardware, that includes the use of sensors, drones and weather stations to retrieve data, LoRa and MQTT (Message Queuing Telemetry Transport) to transmit data and a set of models to adapt these values to create the best irrigation process for precision agriculture.…”

Section: Related Workmentioning

confidence: 99%

Water Management for Sustainable Irrigation Systems Using Internet-of-Things

Glória

Dionisio

Simões

et al. 2020

Sensors

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This paper introduces a new way of managing water in irrigation systems, which can be applied to gardens or agricultural fields, replacing human intervention with Wireless Sensor Networks. A typical irrigation system wastes on average 30% of the water used, due to poor management and configuration. This sustainable irrigation system allows a better efficiency in the process of irrigation that can lead to savings for the end user, not only monetary but also in natural resources, such as water and energy, leading to a more sustainable environment. The system can retrieve real time data and use them to determinate the correct amount of water to be used in a garden. With this solution, it is possible to save up to 34% of water when using sensor data from temperature, humidity and soil moisture, or up to 26% when using only temperature inputs. Besides a detailed system architecture, this paper includes a real case scenario implementation and results discussion.

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Section: Related Workmentioning

confidence: 99%

Water Management for Sustainable Irrigation Systems Using Internet-of-Things

Glória

Dionisio

Simões

et al. 2020

Sensors

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“…The work carried out by Myers et al [12] presents the improvement of intelligent water management and information technique to build active decision while releasing the water for the fruit trees and grasses. This study demonstrates the SWAMP-project using IoT based water conservation method for the correctness irrigation into the agriculture by Kamienski et al [13]. This study focuses on monitoring and managing the water resources using IoT based technique by Xiaocong et al [14].…”

Section: Review Of Literaturementioning

confidence: 99%

Modeling of Smart Water Control Mechanism using IoT

Akanksha*

2019

IJITEE

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Abstract: The unexpected water demand has become a serious concern in the last few years. The increasing demand for water supply has posed a significant challenge for many countries around the world. Various factors, such as population growth, urbanization, and climate changes, have further exhausted water resources. Therefore, water conservation and natural resource management have become crucial factors for human survival. The proposed study presents the modeling of smart water control system based on IoT technology. The implementation of the proposed water control model is carried out using an analytical approach with cost-effective, functional modules using sensors and wireless communication system. The proposed smart water control mechanism is mainly designed for water distribution and monitoring application.

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“…In EXEHDA-SF the Irrigation Decision Algorithm is based on the moment of irrigation defined by the user and considers the rain data and its intensity, both from the previous 12 hours and from the following 12 hours. Based on the average values in the literature [13], the decision to irrigate at EXEHDA-SF will be considered as a 25mm rainfall reference and as a 60% PoP.…”

Section: Algorithm For Irrigation Decisionmentioning

confidence: 99%

EXEHDA-SF: an IoT Based Proposal for the Irrigation Management

Albandes¹,

Yamin²,

Machado³

et al. 2019

Anais De XXXVII Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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According to the National Water Agency (ANA), approximately 46.2% of all clean water used in Brazil is destined for irrigation, which has been motivating the evaluation of alternatives for water supply agricultural crops. Considering this scenario, this article presents the EXEHDA-SF proposal, which aims to explore Situation Awareness in the decision making process, with the perspective of minimizing socioenvironmental impacts. For evaluation of EXEHDA-SF a prototype was developed that integrates open-source IoT technologies to the EXEHDA middleware and explores a weather prediction service. The results achieved were promising, reaching a success rate of approximately 94% regarding the irrigation decision.

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SWAMP: an IoT-based Smart Water Management Platform for Precision Irrigation in Agriculture

Cited by 68 publications

References 10 publications

Water Management for Sustainable Irrigation Systems Using Internet-of-Things

Water Management for Sustainable Irrigation Systems Using Internet-of-Things

Modeling of Smart Water Control Mechanism using IoT

EXEHDA-SF: an IoT Based Proposal for the Irrigation Management

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