Development and Preliminary Results from the Testbed Infrastructure of the DRIP Project

Striving to tackle a common water resource scarcity problem, the Drip Irrigation Precise (DRIP) Project aims to develop a state-of-the-art integrated system that will optimize tree crop irrigation. To this end, we have developed 5 free lysimeters measuring 3 m in height and 3 m in diameter, each wit...

Full description

Bibliographic Details
Main Authors: Ioannis Ν. Daliakopoulos, Dimitrios Papadimitriou, Theofilos Matsoukas, Nikolaos Zotos, Harris Moysiadis, Konstantinos Anastasopoulos, Ioannis Mavrogiannis, Thrassyvoulos Manios
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Proceedings
Subjects:
Online Access:https://www.mdpi.com/2504-3900/30/1/64
id doaj-85da42d4a7b14da3912e98a4923c6b9a
record_format Article
spelling doaj-85da42d4a7b14da3912e98a4923c6b9a2020-11-25T03:11:46ZengMDPI AGProceedings2504-39002020-05-0130646410.3390/proceedings2019030064Development and Preliminary Results from the Testbed Infrastructure of the DRIP ProjectIoannis Ν. Daliakopoulos0Dimitrios Papadimitriou1Theofilos Matsoukas2Nikolaos Zotos3Harris Moysiadis4Konstantinos Anastasopoulos5Ioannis Mavrogiannis6Thrassyvoulos Manios7Department of Agriculture, Hellenic Mediterranean University, 71410 Crete, GreeceDepartment of Agriculture, Hellenic Mediterranean University, 71410 Crete, GreeceLandco Ltd., 15122 Athens, GreeceFuture Intelligence Ltd., 15341 Athens, GreeceFuture Intelligence Ltd., 15341 Athens, GreeceFuture Intelligence Ltd., 15341 Athens, GreeceAnelixis Consulting SA, 71306 Heraklion, GreeceDepartment of Agriculture, Hellenic Mediterranean University, 71410 Crete, GreeceStriving to tackle a common water resource scarcity problem, the Drip Irrigation Precise (DRIP) Project aims to develop a state-of-the-art integrated system that will optimize tree crop irrigation. To this end, we have developed 5 free lysimeters measuring 3 m in height and 3 m in diameter, each with a total effective volume of ca. 20 m<sup>3</sup>. Lysimeters were planted with 5 10-year-old olive trees, including their root ball to a depth of 1 m, monolithically transplanted from the experimental olive orchard of the Hellenic Mediterranean University, Greece. The remaining volume was layered with soil from the same source and a gravel filter to allow leaching. Each lysimeter is equipped with IoT sensors relevant to the modeling of the soil-plant-water system; 12 measuring soil moisture, temperature, and electrical conductivity, and one measuring leachate flow. Additionally, meteorological parameters are monitored for the entire infrastructure. Sensors provide real time data to an on-line system, through a network of 15 telecommunication nodes that, together with an edge-gateway, form a local wireless 6LoWPAN mesh network, thus implementing a state-of-the-art Internet of Things (IoT) system. Experimental data collected from the lysimeters are used to model water movement using the HYDRYS 2D/3D model. Modeling output will be used for the development the commercial DRIP system, an advanced irrigation scheduler designed for the harsh conditions of the agricultural environment that utilizes feedback from environmental sensors for optimal irrigation.https://www.mdpi.com/2504-3900/30/1/64smart agricultureInternet of ThingslysimeterHYDRUSsoil moisture
collection DOAJ
language English
format Article
sources DOAJ
author Ioannis Ν. Daliakopoulos
Dimitrios Papadimitriou
Theofilos Matsoukas
Nikolaos Zotos
Harris Moysiadis
Konstantinos Anastasopoulos
Ioannis Mavrogiannis
Thrassyvoulos Manios
spellingShingle Ioannis Ν. Daliakopoulos
Dimitrios Papadimitriou
Theofilos Matsoukas
Nikolaos Zotos
Harris Moysiadis
Konstantinos Anastasopoulos
Ioannis Mavrogiannis
Thrassyvoulos Manios
Development and Preliminary Results from the Testbed Infrastructure of the DRIP Project
Proceedings
smart agriculture
Internet of Things
lysimeter
HYDRUS
soil moisture
author_facet Ioannis Ν. Daliakopoulos
Dimitrios Papadimitriou
Theofilos Matsoukas
Nikolaos Zotos
Harris Moysiadis
Konstantinos Anastasopoulos
Ioannis Mavrogiannis
Thrassyvoulos Manios
author_sort Ioannis Ν. Daliakopoulos
title Development and Preliminary Results from the Testbed Infrastructure of the DRIP Project
title_short Development and Preliminary Results from the Testbed Infrastructure of the DRIP Project
title_full Development and Preliminary Results from the Testbed Infrastructure of the DRIP Project
title_fullStr Development and Preliminary Results from the Testbed Infrastructure of the DRIP Project
title_full_unstemmed Development and Preliminary Results from the Testbed Infrastructure of the DRIP Project
title_sort development and preliminary results from the testbed infrastructure of the drip project
publisher MDPI AG
series Proceedings
issn 2504-3900
publishDate 2020-05-01
description Striving to tackle a common water resource scarcity problem, the Drip Irrigation Precise (DRIP) Project aims to develop a state-of-the-art integrated system that will optimize tree crop irrigation. To this end, we have developed 5 free lysimeters measuring 3 m in height and 3 m in diameter, each with a total effective volume of ca. 20 m<sup>3</sup>. Lysimeters were planted with 5 10-year-old olive trees, including their root ball to a depth of 1 m, monolithically transplanted from the experimental olive orchard of the Hellenic Mediterranean University, Greece. The remaining volume was layered with soil from the same source and a gravel filter to allow leaching. Each lysimeter is equipped with IoT sensors relevant to the modeling of the soil-plant-water system; 12 measuring soil moisture, temperature, and electrical conductivity, and one measuring leachate flow. Additionally, meteorological parameters are monitored for the entire infrastructure. Sensors provide real time data to an on-line system, through a network of 15 telecommunication nodes that, together with an edge-gateway, form a local wireless 6LoWPAN mesh network, thus implementing a state-of-the-art Internet of Things (IoT) system. Experimental data collected from the lysimeters are used to model water movement using the HYDRYS 2D/3D model. Modeling output will be used for the development the commercial DRIP system, an advanced irrigation scheduler designed for the harsh conditions of the agricultural environment that utilizes feedback from environmental sensors for optimal irrigation.
topic smart agriculture
Internet of Things
lysimeter
HYDRUS
soil moisture
url https://www.mdpi.com/2504-3900/30/1/64
work_keys_str_mv AT ioannisndaliakopoulos developmentandpreliminaryresultsfromthetestbedinfrastructureofthedripproject
AT dimitriospapadimitriou developmentandpreliminaryresultsfromthetestbedinfrastructureofthedripproject
AT theofilosmatsoukas developmentandpreliminaryresultsfromthetestbedinfrastructureofthedripproject
AT nikolaoszotos developmentandpreliminaryresultsfromthetestbedinfrastructureofthedripproject
AT harrismoysiadis developmentandpreliminaryresultsfromthetestbedinfrastructureofthedripproject
AT konstantinosanastasopoulos developmentandpreliminaryresultsfromthetestbedinfrastructureofthedripproject
AT ioannismavrogiannis developmentandpreliminaryresultsfromthetestbedinfrastructureofthedripproject
AT thrassyvoulosmanios developmentandpreliminaryresultsfromthetestbedinfrastructureofthedripproject
_version_ 1724653172739276800