Development of a Low-Cost Open-Source Platform for Smart Irrigation Systems

Nowadays, smart irrigation is becoming an essential goal in agriculture, where water and energy are increasingly limited resources. Its importance will grow in the coming years in the agricultural sector where the optimal use of resources and environmental sustainability are becoming more important...

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Published inAgronomy (Basel) Vol. 12; no. 12; p. 2909
Main Authors Puig, Francisco, Rodríguez Díaz, Juan Antonio, Soriano, María Auxiliadora
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.11.2022
Subjects
Agricultural economics
Agricultural industry
Agriculture
Application programming interface
Atmospheric models
Automation
Cloud computing
Communication
Decision making
Drip irrigation
dual crop coefficient
Edge computing
Embedded systems
Energy efficiency
Environmental sustainability
Farms
FIWARE
Internet of Things
IoT platform
Irrigation
irrigation model
Irrigation systems
Low cost
Moisture content
Optimization
precision agriculture
Sensors
Soil moisture
Soil water
soil water balance
Sustainability
Water balance
Water balance (Hydrology)
Water requirements
Wide area networks
Spain
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Abstract Nowadays, smart irrigation is becoming an essential goal in agriculture, where water and energy are increasingly limited resources. Its importance will grow in the coming years in the agricultural sector where the optimal use of resources and environmental sustainability are becoming more important every day. However, implementing smart irrigation is not an easy task for most farmers since it is based on knowledge of the different processes and factors that determine the crop water requirements. Thanks to technological developments, it is possible to design new tools such as sensors or platforms that can be connected to soil-water-plant-atmosphere models to assist in the optimization and automation of irrigation. In this work, a low-cost, open-source IoT system for smart irrigation has been developed that can be easily integrated with other platforms and supports a large number of sensors. The platform uses the FIWARE framework together with customized components and can be deployed using edge computing and/or cloud computing systems. To improve decision-making, the platform integrates an irrigation model that calculates soil water balance and wet bulb dimensions to determine the best irrigation strategy for drip irrigation systems. In addition, an energy efficient open-source datalogger has been designed. The datalogger supports a wide range of communications and is compatible with analog sensors, SDI-12 and RS-485 protocols. The IoT system has been deployed on an olive farm and has been in operation for one irrigation season. Based on the results obtained, advantages of using these technologies over traditional methods are discussed.
AbstractList Nowadays, smart irrigation is becoming an essential goal in agriculture, where water and energy are increasingly limited resources. Its importance will grow in the coming years in the agricultural sector where the optimal use of resources and environmental sustainability are becoming more important every day. However, implementing smart irrigation is not an easy task for most farmers since it is based on knowledge of the different processes and factors that determine the crop water requirements. Thanks to technological developments, it is possible to design new tools such as sensors or platforms that can be connected to soil-water-plant-atmosphere models to assist in the optimization and automation of irrigation. In this work, a low-cost, open-source IoT system for smart irrigation has been developed that can be easily integrated with other platforms and supports a large number of sensors. The platform uses the FIWARE framework together with customized components and can be deployed using edge computing and/or cloud computing systems. To improve decision-making, the platform integrates an irrigation model that calculates soil water balance and wet bulb dimensions to determine the best irrigation strategy for drip irrigation systems. In addition, an energy efficient open-source datalogger has been designed. The datalogger supports a wide range of communications and is compatible with analog sensors, SDI-12 and RS-485 protocols. The IoT system has been deployed on an olive farm and has been in operation for one irrigation season. Based on the results obtained, advantages of using these technologies over traditional methods are discussed.
Audience Academic
Author Soriano, María Auxiliadora
Rodríguez Díaz, Juan Antonio
Puig, Francisco
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Cites_doi 10.1016/j.compag.2020.105407
10.1016/j.agwat.2020.106466
10.3390/s20041153
10.1111/j.1365-2389.1966.tb01455.x
10.1007/s00271-011-0267-3
10.3390/s19020276
10.1007/s10665-009-9282-2
10.3390/w11020383
10.1007/BF02215617
10.3390/s20030596
10.1007/s11104-013-1704-2
10.1061/(ASCE)0733-9437(2005)131:1(2)
10.1016/j.jhydrol.2014.09.075
10.1061/(ASCE)0733-9437(1986)112:3(242)
10.1016/j.biosystemseng.2018.10.014
10.1016/j.agwat.2020.106645
10.2136/vzj2004.1455
10.1016/j.jhydrol.2017.01.004
10.1007/s00271-009-0182-z
10.1016/j.agwat.2011.10.013
10.1016/j.agwat.2020.106663
10.1016/j.agwat.2012.06.008
10.3390/s20082418
10.1093/jxb/erl165
10.3390/w13182466
10.1016/j.adhoc.2019.102047
10.3390/w11122632
10.1016/S0022-1694(01)00466-8
10.1016/j.agwat.2019.105898
10.1007/s00271-003-0077-3
10.2136/sssaj1980.03615995004400050002x
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References Allen (ref_25) 2009; 28
ref_14
Kilic (ref_38) 2020; 228
Allen (ref_12) 2005; 131
ref_35
ref_11
Schaap (ref_28) 2001; 251
Rallo (ref_27) 2021; 250
(ref_10) 2020; 173
Rosa (ref_19) 2012; 103
ref_17
ref_16
Thorburn (ref_37) 2003; 22
ref_15
Zur (ref_34) 1996; 16
Lazarovitch (ref_36) 2009; 64
(ref_31) 1980; 44
Schaap (ref_29) 2004; 3
Ferreira (ref_23) 2012; 30
Salter (ref_32) 1966; 17
Schwartzman (ref_33) 1986; 112
Santa (ref_5) 2019; 177
Fereres (ref_39) 2007; 58
ref_22
ref_21
Pereira (ref_18) 2021; 243
Pereira (ref_26) 2021; 252
ref_41
ref_1
Sethi (ref_13) 2017; 2017
Cunha (ref_20) 2014; 519
Cancela (ref_24) 2012; 112
ref_3
ref_2
ref_9
ref_8
Zhang (ref_30) 2017; 547
ref_4
Alonso (ref_6) 2020; 98
ref_7
Cuevas (ref_40) 2013; 372
References_xml – ident: ref_7
– volume: 173
  start-page: 105407
  year: 2020
  ident: ref_10
  article-title: Open Source Application for Optimum Irrigation and Fertilization Using Reclaimed Water in Olive Orchards
  publication-title: Comput. Electron. Agric.
  doi: 10.1016/j.compag.2020.105407
– volume: 2017
  start-page: 9324035
  year: 2017
  ident: ref_13
  article-title: Internet of Things: Architectures, Protocols, and Applications
  publication-title: J. Electr. Comput. Eng.
  contributor:
    fullname: Sethi
– volume: 243
  start-page: 106466
  year: 2021
  ident: ref_18
  article-title: Standard Single and Basal Crop Coefficients for Field Crops. Updates and Advances to the FAO56 Crop Water Requirements Method
  publication-title: Agric. Water Manag.
  doi: 10.1016/j.agwat.2020.106466
  contributor:
    fullname: Pereira
– ident: ref_8
  doi: 10.3390/s20041153
– volume: 17
  start-page: 93
  year: 1966
  ident: ref_32
  article-title: The influence of texture on the moisture characteristics of soils: III. Quantitative relationships between particle size, composition, and available-water capacity
  publication-title: J. Soil Sci.
  doi: 10.1111/j.1365-2389.1966.tb01455.x
  contributor:
    fullname: Salter
– volume: 30
  start-page: 115
  year: 2012
  ident: ref_23
  article-title: The Dual Crop Coefficient Approach Using a Density Factor to Simulate the Evapotranspiration of a Peach Orchard: SIMDualKc Model versus Eddy Covariance Measurements
  publication-title: Irrig. Sci.
  doi: 10.1007/s00271-011-0267-3
  contributor:
    fullname: Ferreira
– ident: ref_4
  doi: 10.3390/s19020276
– volume: 64
  start-page: 207
  year: 2009
  ident: ref_36
  article-title: Water Distribution under Trickle Irrigation Predicted Using Artificial Neural Networks
  publication-title: J. Eng. Math.
  doi: 10.1007/s10665-009-9282-2
  contributor:
    fullname: Lazarovitch
– ident: ref_16
– ident: ref_21
  doi: 10.3390/w11020383
– volume: 16
  start-page: 101
  year: 1996
  ident: ref_34
  article-title: Wetted Soil Volume as a Design Objective in Trickle Irrigation
  publication-title: Irrig. Sci.
  doi: 10.1007/BF02215617
  contributor:
    fullname: Zur
– ident: ref_14
– ident: ref_3
  doi: 10.3390/s20030596
– ident: ref_1
– ident: ref_35
– volume: 372
  start-page: 279
  year: 2013
  ident: ref_40
  article-title: A Regulated Deficit Irrigation Strategy for Hedgerow Olive Orchards with High Plant Density
  publication-title: Plant Soil
  doi: 10.1007/s11104-013-1704-2
  contributor:
    fullname: Cuevas
– volume: 131
  start-page: 2
  year: 2005
  ident: ref_12
  article-title: FAO-56 Dual Crop Coefficient Method for Estimating Evaporation from Soil and Application Extensions
  publication-title: J. Irrig. Drain. Eng.
  doi: 10.1061/(ASCE)0733-9437(2005)131:1(2)
  contributor:
    fullname: Allen
– volume: 519
  start-page: 2067
  year: 2014
  ident: ref_20
  article-title: Evapotranspiration and Crop Coefficients for a Super Intensive Olive Orchard. An Application of SIMDualKc and METRIC Models Using Ground and Satellite Observations
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2014.09.075
  contributor:
    fullname: Cunha
– volume: 112
  start-page: 242
  year: 1986
  ident: ref_33
  article-title: Emitter Spacing and Geometry of Wetted Soil Volume
  publication-title: J. Irrig. Drain. Eng.
  doi: 10.1061/(ASCE)0733-9437(1986)112:3(242)
  contributor:
    fullname: Schwartzman
– volume: 177
  start-page: 4
  year: 2019
  ident: ref_5
  article-title: Smart Farming IoT Platform Based on Edge and Cloud Computing
  publication-title: Biosyst. Eng.
  doi: 10.1016/j.biosystemseng.2018.10.014
  contributor:
    fullname: Santa
– volume: 250
  start-page: 106645
  year: 2021
  ident: ref_27
  article-title: Updated Single and Dual Crop Coefficients for Tree and Vine Fruit Crops
  publication-title: Agric. Water Manag.
  doi: 10.1016/j.agwat.2020.106645
  contributor:
    fullname: Rallo
– volume: 3
  start-page: 1455
  year: 2004
  ident: ref_29
  article-title: Comparison of Models for Indirect Estimation of Water Retention and Available Water in Surface Soils
  publication-title: Vadose Zone J.
  doi: 10.2136/vzj2004.1455
  contributor:
    fullname: Schaap
– volume: 547
  start-page: 39
  year: 2017
  ident: ref_30
  article-title: Weighted Recalibration of the Rosetta Pedotransfer Model with Improved Estimates of Hydraulic Parameter Distributions and Summary Statistics (Rosetta3)
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2017.01.004
  contributor:
    fullname: Zhang
– ident: ref_2
– volume: 28
  start-page: 17
  year: 2009
  ident: ref_25
  article-title: Estimating Crop Coefficients from Fraction of Ground Cover and Height
  publication-title: Irrig. Sci.
  doi: 10.1007/s00271-009-0182-z
  contributor:
    fullname: Allen
– volume: 103
  start-page: 8
  year: 2012
  ident: ref_19
  article-title: Implementing the Dual Crop Coefficient Approach in Interactive Software. 1. Background and Computational Strategy
  publication-title: Agric. Water Manag.
  doi: 10.1016/j.agwat.2011.10.013
  contributor:
    fullname: Rosa
– volume: 252
  start-page: 106663
  year: 2021
  ident: ref_26
  article-title: Prediction of Crop Coefficients from Fraction of Ground Cover and Height: Practical Application to Vegetable, Field and Fruit Crops with Focus on Parameterization
  publication-title: Agric. Water Manag.
  doi: 10.1016/j.agwat.2020.106663
  contributor:
    fullname: Pereira
– volume: 112
  start-page: 75
  year: 2012
  ident: ref_24
  article-title: Using the Dual-K c Approach to Model Evapotranspiration of Albariño Vineyards (Vitis Vinifera L. Cv. Albariño) with Consideration of Active Ground Cover
  publication-title: Agric. Water Manag.
  doi: 10.1016/j.agwat.2012.06.008
  contributor:
    fullname: Cancela
– ident: ref_9
  doi: 10.3390/s20082418
– volume: 58
  start-page: 147
  year: 2007
  ident: ref_39
  article-title: Deficit Irrigation for Reducing Agricultural Water Use
  publication-title: J. Exp. Bot.
  doi: 10.1093/jxb/erl165
  contributor:
    fullname: Fereres
– ident: ref_41
– ident: ref_15
– ident: ref_22
  doi: 10.3390/w13182466
– volume: 98
  start-page: 102047
  year: 2020
  ident: ref_6
  article-title: An Intelligent Edge-IoT Platform for Monitoring Livestock and Crops in a Dairy Farming Scenario
  publication-title: Ad Hoc Netw.
  doi: 10.1016/j.adhoc.2019.102047
  contributor:
    fullname: Alonso
– ident: ref_11
  doi: 10.3390/w11122632
– ident: ref_17
– volume: 251
  start-page: 163
  year: 2001
  ident: ref_28
  article-title: Rosetta: A Computer Program for Estimating Soil Hydraulic Parameters with Hierarchical Pedotransfer Functions
  publication-title: J. Hydrol.
  doi: 10.1016/S0022-1694(01)00466-8
  contributor:
    fullname: Schaap
– volume: 228
  start-page: 105898
  year: 2020
  ident: ref_38
  article-title: A New Analytical Method for Estimating the 3D Volumetric Wetting Pattern under Drip Irrigation System
  publication-title: Agric. Water Manag.
  doi: 10.1016/j.agwat.2019.105898
  contributor:
    fullname: Kilic
– volume: 22
  start-page: 121
  year: 2003
  ident: ref_37
  article-title: Soil-Dependent Wetting from Trickle Emitters: Implications for System Design and Management
  publication-title: Irrig. Sci.
  doi: 10.1007/s00271-003-0077-3
  contributor:
    fullname: Thorburn
– volume: 44
  start-page: 892
  year: 1980
  ident: ref_31
  article-title: A Closed-Form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils
  publication-title: Soil Sci. Soc. Am. J.
  doi: 10.2136/sssaj1980.03615995004400050002x
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Snippet Nowadays, smart irrigation is becoming an essential goal in agriculture, where water and energy are increasingly limited resources. Its importance will grow in...
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StartPage 2909
SubjectTerms Agricultural economics
Agricultural industry
Agriculture
Application programming interface
Atmospheric models
Automation
Cloud computing
Communication
Decision making
Drip irrigation
dual crop coefficient
Edge computing
Embedded systems
Energy efficiency
Environmental sustainability
Farms
FIWARE
Internet of Things
IoT platform
Irrigation
irrigation model
Irrigation systems
Low cost
Moisture content
Optimization
precision agriculture
Sensors
Soil moisture
Soil water
soil water balance
Sustainability
Water balance
Water balance (Hydrology)
Water requirements
Wide area networks
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Title Development of a Low-Cost Open-Source Platform for Smart Irrigation Systems
URI https://www.proquest.com/docview/2756655744/abstract/
https://doaj.org/article/5101bf159bef42338761af10baf15693
Volume 12
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