A Low Cost Irrigation System with Raspberry Pi – Own Design and Statistical Evaluation of Efficiency

Koprda, Štefan; Magdin, Martin; Vanek, E.; Balogh, Zoltán

doi:10.7160/aol.2017.090207

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…The use of ontologies in IoT applications allows better results in terms of interoperability between devices. Koprda, Š, et al [18] indicates new trends in irrigation systems and presents the design, implementation and evaluation of a low-cost IoT solution for automatic irrigation systems. The goal of this prototype was to improve the people's life quality by reducing human intervention in mechanical and/or heavy tasks.…”

Section: Literature Reviewmentioning

confidence: 99%

Smart City Park Irrigation System: A Case Study of San Isidro, Lima—Peru

et al. 2018

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Water management has become a global priority in recent decades. The demand for water resources is increasing in cities due to the increase in population and the intensive use of water in economic activities and ornamentation. The problem is exacerbated when cities are built on desert regions, this is the case of Lima which is the second largest city built on a desert after Cairo. In this type of cities, it is necessary to minimize water consumption in activities that do not cover the priority needs of the population. For this reason, one of the most important tasks in the management of water resources in Lima is the optimization of water use in irrigation of parks, malls and other public green areas, necessary to offer a good quality of life to citizens. This research develops a smart decision support system to optimize irrigation in city parks. The proposed methodology takes 4 variables: land area, temperature, park humidity and weather forecast. First, strategic segmentation of the total area of the park is carried out, followed by the use of low-cost sensors to construct real-time humidity and temperature maps of the land area. Afterwards, a fuzzy inference system (FIS) that incorporates the knowledge of agronomists to process vague information in terms of computer interpretable language, together with the data collected from the variables and humidity and temperature maps is built, to assess the need for irrigation of each segment of the park. A dashboard is made to facilitate the visualization of results, including humidity and temperature maps, the weather forecast for the area and the recommendation of the FIS, which supports decision-making on irrigation needs in each segment of the park. The methodology was applied in a case study that corresponds to a San Isidro park in the city of Lima. Significant expected savings were obtained in terms of water resources and monetary units, which demonstrates the viability of the application of this smart system oriented at supporting decision-making on smart irrigation in the city’s parks.

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Section: Literature Reviewmentioning

confidence: 99%

Smart City Park Irrigation System: A Case Study of San Isidro, Lima—Peru

et al. 2018

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“…Irrigation automation is not exclusive to the rural sector. Studies have shown the need to improve the efficiency of urban lawn irrigation to save water, and successful strategies have been developed (Blado et al, 2017;Koprda, Magdin, Vanek, & Balogh, 2017). Asadullah and Ullah (2017) developed a low-cost and efficient design for indoor plant irrigation that reduces human labor and saves energy.…”

Section: Introductionmentioning

confidence: 99%

Development of a low-cost weather station and real-time monitoring for automated irrigation management

et al. 2022

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Irrigation is a practice that increases productivity and enables the expansion of agricultural borders. This practice should be well managed to ensure the efficient use of water by plants, and such management requires specialized labor, which increases operating costs. Therefore, the main objective of this study is the implementation of an automated irrigation system that considers factors ranging from water demand to the operation of the system. Because the daily water demand is determined by crop evapotranspiration, a low-cost weather station was developed to acquire data daily. Such data can be used to estimate the reference evapotranspiration (ET0) using the Penman-Monteith model of the Food and Agriculture Organization (FAO). Thus, by combining the amount of water required by a crop with the physical and hydraulic properties of the soil and the hydraulic properties of the irrigation system, it was possible to determine the daily frequency and amount of time required for the system to operate to meet the water requirements of the crop without undergoing stress from a deficit or an excess of water. The management/monitoring system was designed and implemented to allow the user to access data remotely through an online application. This application enables the real-time transmission of irrigation-related data, such as weather station data and system logs, obviating the need for the user to be present at the crop site. This allows the supervision of many areas simultaneously with low cost

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“…On contrary, in an agricultural environment, a different type of data and frequency of their acquiring is required (Playán et al, 2018). According to (Koprda et al, 2017) mainly weather, humidity (Jeong et al, 2018), wind direction, and strength values are needed in such conditions. Those readings are made much rarely, not creating a massive machine-to-machine communication (MMC), but devices are spread out on significantly larger distances.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Frequencies for the IoT Telemetry in Smart Agriculture

Vokoun

Masner

Vaněk

et al. 2021

AOL

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The IoT is becoming a widely known technology for the gathering of telemetry data, while mostly the concept of Smart cities is usually seen as the most challenging area for implementation. The different situations can be found in the smart agriculture concept, where different requirements and especially conditions exist. The purpose of this paper is to make an overview of IoT frequency bands available, with special focus on the situation in the EU, their theoretical usability and, using experimental measurements of typical background noise in different bands and calculations of transmission reliability on expected distance, estimate the practical usability of those technologies in the smart agriculture, compared to the smart city’s requirements. Most of the IoT installations outside 5G systems are in the 900 MHz band, but is this well-suitable for smart agriculture?

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A Low Cost Irrigation System with Raspberry Pi – Own Design and Statistical Evaluation of Efficiency

Cited by 5 publications

References 12 publications

Smart City Park Irrigation System: A Case Study of San Isidro, Lima—Peru

Smart City Park Irrigation System: A Case Study of San Isidro, Lima—Peru

Development of a low-cost weather station and real-time monitoring for automated irrigation management

Evaluation of Frequencies for the IoT Telemetry in Smart Agriculture

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