Evaluation of Grain Quality-Based Simulated Selective Harvest Performed by an Autonomous Agricultural Robot

Grain price differences due to protein content can have economic effects on the farm as well as environmental effects when alternative protein sources are imported. Grain protein variability can vary from year to year due to environmental factors and can be addressed by site-specific management prac...

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Published inAgronomy (Basel) Vol. 11; no. 9; p. 1728
Main Authors Villa-Henriksen, Andrés, Edwards, Gareth Thomas Charles, Green, Ole, Sørensen, Claus Aage Grøn
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2021
Subjects
agricultural field robots
Agriculture
agronomy
autonomous agricultural robot
Cost benefit analysis
Economic analysis
Economic impact
Economics
Environmental effects
Environmental factors
Farms
Global positioning systems
GPS
Grain
grain protein
grain quality
grain quality orientated harvest
Harvest
harvest automation
harvest date
Harvesting
income
Internet of Things
Planning
prices
Profitability
Profits
protein content
Protein sources
Proteins
Revenue
Robots
selective harvest
smart farming
Vehicles
Wheat
Winter wheat
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Abstract Grain price differences due to protein content can have economic effects on the farm as well as environmental effects when alternative protein sources are imported. Grain protein variability can vary from year to year due to environmental factors and can be addressed by site-specific management practices. Alternatively, it can be addressed at harvest time by selective harvest. Agricultural autonomous robots can accurately follow alternative harvesting routes that are subject to grain quality maps, making them suitable choices for selective harvest. This study addresses therefore the potential revenue of selective harvest performed by the route planner of an autonomous field robot. The harvest capacity and potential economic revenues of selective harvest in a Danish context were studied for a set of 20 winter wheat fields with four hypothetical scenarios. The results showed significant differences in harvest capacity between conventional and selective harvest. Even though in some scenarios selective harvest did not require notable additional harvest times, the cost–benefit analysis showed small economic returns of up to 46 DKK ha−1 for the best scenarios, and for most cases losses up to 464 DKK ha−1. Additionally, the location of the high protein content areas has great influence on the profitability of selective harvest.
AbstractList Grain price differences due to protein content can have economic effects on the farm as well as environmental effects when alternative protein sources are imported. Grain protein variability can vary from year to year due to environmental factors and can be addressed by site-specific management practices. Alternatively, it can be addressed at harvest time by selective harvest. Agricultural autonomous robots can accurately follow alternative harvesting routes that are subject to grain quality maps, making them suitable choices for selective harvest. This study addresses therefore the potential revenue of selective harvest performed by the route planner of an autonomous field robot. The harvest capacity and potential economic revenues of selective harvest in a Danish context were studied for a set of 20 winter wheat fields with four hypothetical scenarios. The results showed significant differences in harvest capacity between conventional and selective harvest. Even though in some scenarios selective harvest did not require notable additional harvest times, the cost–benefit analysis showed small economic returns of up to 46 DKK ha−1 for the best scenarios, and for most cases losses up to 464 DKK ha−1. Additionally, the location of the high protein content areas has great influence on the profitability of selective harvest.
Grain price differences due to protein content can have economic effects on the farm as well as environmental effects when alternative protein sources are imported. Grain protein variability can vary from year to year due to environmental factors and can be addressed by site-specific management practices. Alternatively, it can be addressed at harvest time by selective harvest. Agricultural autonomous robots can accurately follow alternative harvesting routes that are subject to grain quality maps, making them suitable choices for selective harvest. This study addresses therefore the potential revenue of selective harvest performed by the route planner of an autonomous field robot. The harvest capacity and potential economic revenues of selective harvest in a Danish context were studied for a set of 20 winter wheat fields with four hypothetical scenarios. The results showed significant differences in harvest capacity between conventional and selective harvest. Even though in some scenarios selective harvest did not require notable additional harvest times, the cost–benefit analysis showed small economic returns of up to 46 DKK ha⁻¹ for the best scenarios, and for most cases losses up to 464 DKK ha⁻¹. Additionally, the location of the high protein content areas has great influence on the profitability of selective harvest.
Author Sørensen, Claus Aage Grøn
Villa-Henriksen, Andrés
Edwards, Gareth Thomas Charles
Green, Ole
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CitedBy_id crossref_primary_10_1016_j_aiia_2023_04_002
crossref_primary_10_1002_sres_2887
Cites_doi 10.1016/j.compag.2011.11.011
10.1016/j.biosystemseng.2019.12.013
10.1016/j.compag.2015.07.007
10.1007/s11119-013-9336-3
10.1016/j.eja.2011.05.001
10.1111/j.1365-3059.1995.tb02773.x
10.1016/j.compag.2018.08.004
10.1007/s11119-018-9598-x
10.1109/OPTIP.2016.7528517
10.1016/j.compag.2015.05.012
10.1016/j.still.2016.07.003
10.1016/j.still.2020.104789
10.1007/s11119-007-9035-z
10.1111/j.1365-3180.2009.00696.x
10.1016/S1537-5110(02)00283-0
10.3390/agronomy11040667
10.1080/1343943X.2018.1561196
10.1016/j.compag.2016.11.010
10.3182/20130828-2-SF-3019.00023
10.1016/j.compag.2013.08.014
10.1007/s11119-009-9121-5
10.1007/s11119-012-9290-5
10.1007/s11119-014-9374-5
10.1017/S2040470017000188
10.1002/jsfa.2740670306
10.1016/j.gloenvcha.2012.01.004
10.1016/j.still.2019.104384
10.1016/j.biosystemseng.2016.10.007
10.1016/j.biosystemseng.2016.06.014
10.1021/acs.jafc.0c02815
10.1016/j.agsy.2008.03.007
10.2134/agronj2013.0206
10.2134/agronj2012.0353
10.1016/j.compag.2018.11.032
10.1007/s11119-005-1035-2
10.1111/jac.12412
10.1016/j.agsy.2017.08.004
10.2134/agronj1969.00021962006100050031x
10.3390/app10103453
10.1016/j.cie.2012.07.004
10.3390/rs8010070
10.1016/j.eja.2020.126013
10.1094/PHYTO-95-1225
10.1016/j.dss.2011.12.005
10.1016/j.cie.2015.10.018
10.1111/j.1439-037X.2008.00351.x
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References ref_50
Munkholm (ref_62) 2020; 2020
Simmonds (ref_70) 1995; 76
Pelletier (ref_5) 2008; 98
Seyyedhasani (ref_33) 2017; 134
ref_58
ref_57
ref_56
ref_55
Risius (ref_16) 2015; 16
ref_54
Guerrero (ref_11) 2021; 205
Leroux (ref_41) 2018; 20
ref_52
Basso (ref_9) 2009; 195
Czechlowski (ref_13) 2013; 58
Peets (ref_14) 2012; 81
Christensen (ref_15) 2009; 49
Parry (ref_43) 1995; 44
ref_19
Ping (ref_68) 2005; 6
Martin (ref_18) 2013; 105
Oksanen (ref_51) 2013; 98
Havlin (ref_6) 2009; 10
Edwards (ref_59) 2013; 4
ref_60
Ren (ref_26) 2018; 206
Munkholm (ref_64) 2016; 163
Gyldengren (ref_40) 2020; 206
ref_24
Kayacan (ref_28) 2015; 115
ref_23
Fronzek (ref_8) 2018; 159
ref_21
Bechar (ref_27) 2016; 149
Farquharson (ref_1) 2006; 14
ref_29
Lamsal (ref_66) 2016; 91
Godwin (ref_10) 2003; 84
Obour (ref_65) 2019; 195
Styczen (ref_2) 2020; 115
Czechlowski (ref_22) 2013; 58
Richards (ref_4) 2012; 22
Whetton (ref_12) 2018; 153
Jensen (ref_36) 2012; 63
Paul (ref_44) 2005; 95
ref_34
Spekken (ref_61) 2013; 14
Lyle (ref_67) 2014; 15
ref_31
ref_30
Tozer (ref_20) 2007; 8
ref_39
Palosuo (ref_42) 2011; 35
ref_38
Long (ref_17) 2013; 105
Bochtis (ref_37) 2012; 53
Edwards (ref_32) 2017; 153
Punia (ref_3) 2019; 18
ref_47
Edwards (ref_25) 2020; 191
ref_46
ref_45
Xangsayasane (ref_53) 2019; 22
Pronin (ref_7) 2020; 68
ref_49
ref_48
Terman (ref_69) 1969; 61
Tieppo (ref_71) 2019; 156
Edwards (ref_35) 2015; 117
Chamen (ref_63) 2015; 58
References_xml – volume: 81
  start-page: 104
  year: 2012
  ident: ref_14
  article-title: Methods and Procedures for Automatic Collection and Management of Data Acquired from On-the-Go Sensors with Application to on-the-Go Soil Sensors
  publication-title: Comput. Electron. Agric.
  doi: 10.1016/j.compag.2011.11.011
– ident: ref_49
– ident: ref_55
– volume: 191
  start-page: 60
  year: 2020
  ident: ref_25
  article-title: Internet of Things in Arable Farming: Implementation, Applications, Challenges and Potential
  publication-title: Biosyst. Eng.
  doi: 10.1016/j.biosystemseng.2019.12.013
– volume: 117
  start-page: 102
  year: 2015
  ident: ref_35
  article-title: Optimised Schedules for Sequential Agricultural Operations Using a Tabu Search Method
  publication-title: Comput. Electron. Agric.
  doi: 10.1016/j.compag.2015.07.007
– volume: 58
  start-page: 126
  year: 2013
  ident: ref_22
  article-title: The Use of Artificial Neural Networks to Predict the Spatial Variability of Grain Quality during Combine Harvest of Wheat
  publication-title: J. Res. Appl. Agric. Eng.
– volume: 15
  start-page: 377
  year: 2014
  ident: ref_67
  article-title: Post-Processing Methods to Eliminate Erroneous Grain Yield Measurements: Review and Directions for Future Development
  publication-title: Precis. Agric.
  doi: 10.1007/s11119-013-9336-3
– volume: 35
  start-page: 103
  year: 2011
  ident: ref_42
  article-title: Simulation of Winter Wheat Yield and Its Variability in Different Climates of Europe: A Comparison of Eight Crop Growth Models
  publication-title: Eur. J. Agron.
  doi: 10.1016/j.eja.2011.05.001
– volume: 44
  start-page: 207
  year: 1995
  ident: ref_43
  article-title: Fusarium Ear Blight (Scab) in Small Grain Cereals—A Review
  publication-title: Plant Pathol.
  doi: 10.1111/j.1365-3059.1995.tb02773.x
– ident: ref_58
– volume: 2020
  start-page: 1
  year: 2020
  ident: ref_62
  article-title: Infield Optimized Route Planning in Harvesting Operations for Risk of Soil Compaction Reduction
  publication-title: Soil Use Manag.
– volume: 153
  start-page: 202
  year: 2018
  ident: ref_12
  article-title: Evaluating Management Zone Maps for Variable Rate Fungicide Application and Selective Harvest
  publication-title: Comput. Electron. Agric.
  doi: 10.1016/j.compag.2018.08.004
– volume: 20
  start-page: 562
  year: 2018
  ident: ref_41
  article-title: How to Measure and Report Within-Field Variability: A Review of Common Indicators and Their Sensitivity
  publication-title: Precis. Agric.
  doi: 10.1007/s11119-018-9598-x
– volume: 58
  start-page: 31
  year: 2013
  ident: ref_13
  article-title: The Utilization of Information about Local Variable Environmental Conditions to Predict the Quality of Wheat Grain during the Harvest
  publication-title: J. Res. Appl. Agric. Eng.
– ident: ref_23
  doi: 10.1109/OPTIP.2016.7528517
– volume: 115
  start-page: 78
  year: 2015
  ident: ref_28
  article-title: Towards Agrobots: Identification of the Yaw Dynamics and Trajectory Tracking of an Autonomous Tractor
  publication-title: Comput. Electron. Agric.
  doi: 10.1016/j.compag.2015.05.012
– ident: ref_31
– ident: ref_56
– volume: 163
  start-page: 298
  year: 2016
  ident: ref_64
  article-title: Soil Precompression Stress, Penetration Resistance and Crop Yields in Relation to Differently-Trafficked, Temperate-Region Sandy Loam Soils
  publication-title: Soil Tillage Res.
  doi: 10.1016/j.still.2016.07.003
– volume: 205
  start-page: 104789
  year: 2021
  ident: ref_11
  article-title: Data Fusion Approach for Map-Based Variable-Rate Nitrogen Fertilization in Barley and Wheat
  publication-title: Soil Tillage Res.
  doi: 10.1016/j.still.2020.104789
– ident: ref_52
– volume: 8
  start-page: 151
  year: 2007
  ident: ref_20
  article-title: Is It Economically Feasible to Harvest by Management Zone?
  publication-title: Precis. Agric.
  doi: 10.1007/s11119-007-9035-z
– volume: 49
  start-page: 233
  year: 2009
  ident: ref_15
  article-title: Site-Specific Weed Control Technologies
  publication-title: Weed Res.
  doi: 10.1111/j.1365-3180.2009.00696.x
– ident: ref_48
– volume: 84
  start-page: 393
  year: 2003
  ident: ref_10
  article-title: A Review of the Technologies for Mapping Within-Field Variability
  publication-title: Biosyst. Eng.
  doi: 10.1016/S1537-5110(02)00283-0
– ident: ref_30
  doi: 10.3390/agronomy11040667
– volume: 22
  start-page: 68
  year: 2019
  ident: ref_53
  article-title: Combine Harvesting Efficiency as Affected by Rice Field Size and Other Factors and Its Implication for Adoption of Combine Contracting Service
  publication-title: Plant Prod. Sci.
  doi: 10.1080/1343943X.2018.1561196
– volume: 134
  start-page: 142
  year: 2017
  ident: ref_33
  article-title: Using the Vehicle Routing Problem to Reduce Field Completion Times with Multiple Machines
  publication-title: Comput. Electron. Agric.
  doi: 10.1016/j.compag.2016.11.010
– volume: 4
  start-page: 191
  year: 2013
  ident: ref_59
  article-title: Multi-Machine Coordination: Scheduling Operations Based on Readiness Criteria and Using a Modified Tabu Search Algorithm
  publication-title: IFAC Proc. Vol.
  doi: 10.3182/20130828-2-SF-3019.00023
– volume: 98
  start-page: 252
  year: 2013
  ident: ref_51
  article-title: Shape-Describing Indices for Agricultural Field Plots and Their Relationship to Operational Efficiency
  publication-title: Comput. Electron. Agric.
  doi: 10.1016/j.compag.2013.08.014
– volume: 10
  start-page: 356
  year: 2009
  ident: ref_6
  article-title: A Variable-Rate Decision Support Tool
  publication-title: Precis. Agric.
  doi: 10.1007/s11119-009-9121-5
– ident: ref_38
– volume: 14
  start-page: 224
  year: 2013
  ident: ref_61
  article-title: Maneuvering and Servicing Time
  publication-title: Precis. Agric.
  doi: 10.1007/s11119-012-9290-5
– ident: ref_45
– volume: 16
  start-page: 261
  year: 2015
  ident: ref_16
  article-title: In-Line Estimation of Falling Number Using near-Infrared Diffuse Reflectance Spectroscopy on a Combine Harvester
  publication-title: Precis. Agric.
  doi: 10.1007/s11119-014-9374-5
– volume: 206
  start-page: 1
  year: 2018
  ident: ref_26
  article-title: Guest Editorial: Robotics and Automation in Agriculture
  publication-title: Int. J. Robot. Autom.
– ident: ref_50
  doi: 10.1017/S2040470017000188
– volume: 76
  start-page: 309
  year: 1995
  ident: ref_70
  article-title: The Relation Between Yield and Protein in Cereal Grain
  publication-title: J. Sci. Food Agric.
  doi: 10.1002/jsfa.2740670306
– volume: 14
  start-page: 5
  year: 2006
  ident: ref_1
  article-title: Production Response and Input Demand in Decision Making: Nitrogen Fertilizer and Wheat Growers
  publication-title: Australas. Agribus. Rev.
– volume: 22
  start-page: 454
  year: 2012
  ident: ref_4
  article-title: Exchange Rates, Soybean Supply Response, and Deforestation in South America
  publication-title: Glob. Environ. Chang.
  doi: 10.1016/j.gloenvcha.2012.01.004
– volume: 195
  start-page: 104384
  year: 2019
  ident: ref_65
  article-title: Soil Water Contents for Tillage: A Comparison of Approaches and Consequences for the Number of Workable Days
  publication-title: Soil Tillage Res.
  doi: 10.1016/j.still.2019.104384
– volume: 153
  start-page: 149
  year: 2017
  ident: ref_32
  article-title: Route Planning Evaluation of a Prototype Optimised Infield Route Planner for Neutral Material Flow Agricultural Operations
  publication-title: Biosyst. Eng.
  doi: 10.1016/j.biosystemseng.2016.10.007
– ident: ref_24
– volume: 149
  start-page: 94
  year: 2016
  ident: ref_27
  article-title: Agricultural Robots for Field Operations: Concepts and Components
  publication-title: Biosyst. Eng.
  doi: 10.1016/j.biosystemseng.2016.06.014
– ident: ref_34
– volume: 68
  start-page: 13247
  year: 2020
  ident: ref_7
  article-title: Wheat (Triticum Aestivum L.) Breeding from 1891 to 2010 Contributed to Increasing Yield and Glutenin Contents but Decreasing Protein and Gliadin Contents
  publication-title: J. Agric. Food Chem.
  doi: 10.1021/acs.jafc.0c02815
– ident: ref_47
– volume: 98
  start-page: 67
  year: 2008
  ident: ref_5
  article-title: Environmental Performance in the US Broiler Poultry Sector: Life Cycle Energy Use and Greenhouse Gas, Ozone Depleting, Acidifying and Eutrophying Emissions
  publication-title: Agric. Syst.
  doi: 10.1016/j.agsy.2008.03.007
– volume: 105
  start-page: 1529
  year: 2013
  ident: ref_17
  article-title: Optical-Mechanical System for On-Combine Segregation of Wheat by Grain Protein Concentration
  publication-title: Agron. J.
  doi: 10.2134/agronj2013.0206
– volume: 58
  start-page: 707
  year: 2015
  ident: ref_63
  article-title: The Potential of Controlled Traffic Farming to Mitigate Greenhouse Gas Emissions and Enhance Carbon Sequestration in Arable Land: A Critical Review
  publication-title: Trans. ASABE
– volume: 105
  start-page: 721
  year: 2013
  ident: ref_18
  article-title: A Web-Based Calculator for Estimating the Profit Potential of Grain Segregation by Protein Concentration
  publication-title: Agron. J.
  doi: 10.2134/agronj2012.0353
– ident: ref_21
– volume: 156
  start-page: 282
  year: 2019
  ident: ref_71
  article-title: Modeling Cost and Energy Demand in Agricultural Machinery Fl Eets for Soybean and Maize Cultivated Using a No-Tillage System
  publication-title: Comput. Electron. Agric.
  doi: 10.1016/j.compag.2018.11.032
– volume: 6
  start-page: 193
  year: 2005
  ident: ref_68
  article-title: Processing of Yield Map Data
  publication-title: Precis. Agric.
  doi: 10.1007/s11119-005-1035-2
– volume: 206
  start-page: 784
  year: 2020
  ident: ref_40
  article-title: Effects of Winter Wheat N Status on Assimilate and N Partitioning in the Mechanistic Agroecosystem Model DAISY
  publication-title: J. Agron. Crop Sci.
  doi: 10.1111/jac.12412
– volume: 159
  start-page: 209
  year: 2018
  ident: ref_8
  article-title: Classifying Multi-Model Wheat Yield Impact Response Surfaces Showing Sensitivity to Temperature and Precipitation Change
  publication-title: Agric. Syst.
  doi: 10.1016/j.agsy.2017.08.004
– ident: ref_54
– volume: 61
  start-page: 755
  year: 1969
  ident: ref_69
  article-title: Yield-Protein Relationships in Wheat Grain, as Affected by Nitrogen and Water
  publication-title: Agron. J.
  doi: 10.2134/agronj1969.00021962006100050031x
– ident: ref_46
– ident: ref_29
  doi: 10.3390/app10103453
– volume: 63
  start-page: 1054
  year: 2012
  ident: ref_36
  article-title: In-Field and Inter-Field Path Planning for Agricultural Transport Units
  publication-title: Comput. Ind. Eng.
  doi: 10.1016/j.cie.2012.07.004
– ident: ref_39
  doi: 10.3390/rs8010070
– volume: 115
  start-page: 126013
  year: 2020
  ident: ref_2
  article-title: Analysis of the Signi Fi Cant Drop in Protein Content in Danish Grain Crops from 1990–2015 Based on N-Response in Fertilizer Trials
  publication-title: Eur. J. Agron.
  doi: 10.1016/j.eja.2020.126013
– volume: 95
  start-page: 1225
  year: 2005
  ident: ref_44
  article-title: Relationship between Visual Estimates of Fusarium Head Blight Intensity and Deoxynivalenol Accumulation in Harvested Wheat Grain: A Meta-Analysis
  publication-title: Phytopathology
  doi: 10.1094/PHYTO-95-1225
– ident: ref_19
– volume: 53
  start-page: 66
  year: 2012
  ident: ref_37
  article-title: A DSS for Planning of Soil-Sensitive Field Operations
  publication-title: Decis. Support Syst.
  doi: 10.1016/j.dss.2011.12.005
– ident: ref_60
– volume: 91
  start-page: 129
  year: 2016
  ident: ref_66
  article-title: Computers & Industrial Engineering Harvest Logistics in Agricultural Systems with Multiple, Independent Producers and No on-Farm Storage
  publication-title: Comput. Ind. Eng.
  doi: 10.1016/j.cie.2015.10.018
– volume: 18
  start-page: 378
  year: 2019
  ident: ref_3
  article-title: Difference in Protein Content of Wheat (Triticum Aestivum L.): Effect on Functional, Pasting, Color and Antioxidant Properties
  publication-title: J. Saudi Soc. Agric. Sci.
– ident: ref_57
– volume: 195
  start-page: 301
  year: 2009
  ident: ref_9
  article-title: Landscape Position and Precipitation Effects on Spatial Variability of Wheat Yield and Grain Protein in Southern
  publication-title: J. Agron. Crop Sci.
  doi: 10.1111/j.1439-037X.2008.00351.x
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Snippet Grain price differences due to protein content can have economic effects on the farm as well as environmental effects when alternative protein sources are...
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SubjectTerms agricultural field robots
Agriculture
agronomy
autonomous agricultural robot
Cost benefit analysis
Economic analysis
Economic impact
Economics
Environmental effects
Environmental factors
Farms
Global positioning systems
GPS
Grain
grain protein
grain quality
grain quality orientated harvest
Harvest
harvest automation
harvest date
Harvesting
income
Internet of Things
Planning
prices
Profitability
Profits
protein content
Protein sources
Proteins
Revenue
Robots
selective harvest
smart farming
Vehicles
Wheat
Winter wheat
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Title Evaluation of Grain Quality-Based Simulated Selective Harvest Performed by an Autonomous Agricultural Robot
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Volume 11
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