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...
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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 |
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