=Paper= {{Paper |id=Vol-3293/paper80 |storemode=property |title=Development of an IoT-based Platform for Smart Irrigation in Olive Groves Using Open-source Technologies - Abstract |pdfUrl=https://ceur-ws.org/Vol-3293/paper80.pdf |volume=Vol-3293 |authors=Konstantinos Tzerakis,Nektarios Kourgialas,Georgios Psarras |dblpUrl=https://dblp.org/rec/conf/haicta/TzerakisKP22 }} ==Development of an IoT-based Platform for Smart Irrigation in Olive Groves Using Open-source Technologies - Abstract== https://ceur-ws.org/Vol-3293/paper80.pdf
Development of an IoT-based Platform for Smart Irrigation in
Olive Groves Using Open-source Technologies - Abstract
Konstantinos Tzerakis 1, Nektarios Kourgialas 1 and Georgios Psarras 1
1
 Hellenic Agricultural Organization (HAO) “Dimitra” - Institute of Olive Tree, Subtropical Crops and
Viticulture, Agrokipio, Chania, Greece


                 Summary
                 Agriculture consumes more than 80% of available water in the Mediterranean, while climate
                 change restricts the availability of water resources. The Internet of things (IoT) technology can
                 contribute significantly to water use efficiency and crop productivity, providing real-time and
                 accurate information on soil moisture and weather data. Recent advances in the IoT have
                 increased the available open-source software and hardware needed to collect and transmit real-
                 time data. The development of economically viable solutions for irrigation management
                 includes the integration of different elements such as signal processing, data recording,
                 transmission devices, data analysis, and visualization. Message Queuing Telemetry Transport
                 (MQTT) is a lightweight messaging protocol, with a small code footprint, used in IoT types of
                 connections. The use of MQTT over mobile networks combined with low-cost IoT sim cards
                 provides a low-cost solution for long-distance M2M data transfer. An important parameter for
                 the rational management of available irrigation water in olive groves is the use of reliable soil
                 moisture sensors capable of measuring low soil moisture levels. Among many technologies
                 available for the measurement of volumetric water content (VWC), capacitance-based
                 moisture sensors are a reliable and relatively low-cost solution. TEROS 12 sensors provide
                 precise soil moisture measurements with simultaneous measurement of soil temperature and
                 electrical conductivity.
                 This work presents an IoT-based monitoring system for irrigation management using IoT end
                 nodes with TEROS 12 moisture sensors, deployed in the olive grove area of Merambelo in
                 Eastern Crete. Each node i) uses an ESP32 devkit development board programmed with
                 Arduino IDE to take measurements from the moisture sensor every two hours and transmit data
                 to the MQTT broker in the cloud, ii) is powered with two 18650 rechargeable lithium-ion
                 batteries, iii) is charged with a photovoltaic solar panel providing enough power even during
                 winter days, iv) is equipped with SIM800L GSM modem for connectivity. Microcontroller
                 firmware and data upload frequency can be updated over the air. ESP32 board uses SDI 12
                 communication protocol to read VWC, electrical conductivity and temperature from TEROS
                 12 intelligent sensor. The MQTT broker forwards the information to ThingsBoard, an open-
                 source IoT platform for data visualization, which allows creating rich dashboards.
                 Meteorological data from neighboring weather stations are integrated into the same platform
                 offering accurate and reliable real-time information on a unified dashboard. Data from weather
                 stations and end nodes are stored in a database and are available to any internet-connected user.
                 The service is available to the farmers offering spatial and temporal information for irrigation
                 scheduling and decision-making.

                 Keywords 1
                 Internet of things, open software, volumetric water content, remote sensing, GSM module




Proceedings of HAICTA 2022, September 22–25, 2022, Athens, Greece
EMAIL: tzerakis@elgo.iosv.gr (A. 1); kourgialas@elgo.iosv.gr (A. 2); psarras@elgo.iosv.gr (A. 3)
ORCID: 0000-0002-9117-3235 (A. 1); 0000-0002-1312-6185 (A. 2); 0000-0001-6089-2694 (A. 3)
              ©️ 2022 Copyright for this paper by its authors.
              Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
              CEUR Workshop Proceedings (CEUR-WS.org)




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Acknowledgements
The authors acknowledge contribution of the AgriCapture CO2 - Horizon 2020 project. This
project has received funding from the European Union’s Horizon 2020 research and innovation
programme under grant agreement No. 101004282.




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