Precision agriculture technologies positively contributing to ghg emissions mitigation, farm productivity and economics

Sustainability (Switzerland)

Volumn 9, Issue 8, 2017, Pages

  Balafoutis, Athanasios ^a   Beck, Bert ^b   Fountas, Spyros ^a   Vangeyte, Jurgen ^b   Van Der Wal, Tamme ^c   Soto, Iria ^d   Gómez Barbero, Manuel ^d   Barnes, Andrew ^e   Eory, Vera ^e  

^a AGRICULTURAL UNIVERSITY OF ATHENS   (Greece)

^b INSTITUTE FOR AGRICULTURAL AND FISHERIES RESEARCH ILVO   (Belgium)

^c WAGENINGEN UNIVERSITY   (Netherlands)

^d JOINT RESEARCH CENTRE   (Italy)

^e SCOTTISH AGRICULTURAL COLLEGE   (United Kingdom)

Author keywords

Farm productivity; Greenhouse gas emissions; Precision agriculture technologies; Precision physical weeding; Variable rate irrigation; Variable rate nutrient application; Variable rate pesticide application; Variable rate planting seeding

Indexed keywords

AGRICULTURAL EMISSION; AGRICULTURAL PRACTICE; AGRICULTURAL PRODUCTION; AGRICULTURAL TECHNOLOGY; CLIMATE CHANGE; EMISSION CONTROL; GREENHOUSE GAS; IRRIGATION SYSTEM; PESTICIDE APPLICATION; PRECISION AGRICULTURE; SEEDING;

EID: 85026629155     PISSN: None     EISSN: 20711050     Source Type: Journal    
DOI: 10.3390/su9081339     Document Type: Review

References (144)

1. Montzka, S.A.; Dlugokencky, E.J.; Butler, J.H. Non-CO2 greenhouse gases and climate change. Nature 2011, 476, 43-50.
2. EU. Measures at Farm Level to Reduce Greenhouse Gas Emissions from EU Agriculture. Available online: http://www.europarl.europa.eu/RegData/etudes/note/join/2014/513997/IPOLAGRI_ NT(2014)513997_EN.pdf (accessed on 20 May 2017).
3. Angers, D.A.; Eriksen-Hamel, N.S. Full-Inversion Tillage and Organic Carbon Distribution in Soil Profiles: A Meta-Analysis. Soil Sci. Soc. Am. J. 2008, 72, 1370-1374.
4. Waldrop, M.P.; Zak, D.R.; Sinsabaugh, R.L.; Gallo, M.; Lauber, C. Nitrogen deposition modifies soil carbon storage through changes in microbial enzymatic activity. Ecol. Appl. 2004, 14, 1172-1177.
5. Khan, S.A.; Mulvaney, R.L.; Ellsworth, T.R.; Boast, C.W. The Myth of Nitrogen Fertilization for Soil Carbon Sequestration. J. Environ. Qual. 2007, 36, 1821-1832.
6. Plant, R.E.; Pettygrove, G.S.; Reinert, W.R. Precision agriculture can increase profits and limit environmental impacts. Calif. Agric. 2000, 54, 66-71.
7. Daberkow, S.G.; McBride, W.D. Farm and Operator Characteristics Affecting the Awareness and Adoption of Precision Agriculture Technologies in the US. Precis. Agric. 2003, 4, 163-177.
8. Fountas, S.; Blackmore, S.; Ess, D.; Hawkins, S.; Blumhoff, G.; Lowenberg-Deboer, J.; Sorensen, C.G. Farmer Experience with Precision Agriculture in Denmark and the US Eastern Corn Belt. Precis. Agric. 2005, 6, 121-141.
9. Sarantis, M. Europe Entering the Era of Precision Agriculture'. Available Online: https://www.euractiv.com/section/science-policymaking/news/europe-entering-the-era-of-precisionagriculture/ (accessed on 13 March 2017).
10. Roland, B. Press Release. Available Online: http://www.rolandberger.com/press_releases/ market_for_smart_agriculture_applications_growing.html (accessed on 25 May 2016).
11. Pedersen, S.M.; Fountas, S.; Blackmore, B.S.; Gylling, M.; Pedersen, J.L. Adoption and perspectives of precision farming in Denmark. Acta Agric. Scand., Sect. B. 2004, 54, 2-8.
12. McBratney, A.; Whelan, B.; Ancev, T.; Bouma, J. Future Directions of Precision Agriculture. Precis. Agric. 2005, 6, 7-23.
13. Kutter, T.; Tiemann, S.; Siebert, R.; Fountas, S. The role of communication and co-operation in the adoption of precision farming. Precis. Agric. 2011, 12, 2-17.
14. Zarco-Tejada, P.; Hubbard, N.; Loudjani, P. Precision agriculture: an opportunity for EU farmers- Potential Support with the Cap 2014-2020. Available online: http://www.europarl.europa.eu/ RegData/etudes/note/join/2014/529049/IPOL-AGRI_NT%282014%29529049_EN.pdf (accessed on 15 May 2017).
15. MacLeod, M.; Eory, V.; Gruere, G.; Lankoski, J. Cost-Effectiveness of Greenhouse Gas Mitigation Measures for Agriculture; OECD Publishing: Paris, France, 2015; Volume 89.
16. Gruère, G.; Lankoski, J. A review of the literature on the cost-effectiveness of greenhouse gas mitigation measures for agriculture. Available online: https://www.oecd.org/officialdocuments/ publicdisplaydocumentpdf/?cote=COM/TAD/CA/ENV/EPOC(2014)44/FINAL&docLanguage=En (accessed on 10 February 2017).
17. EU_Roadmap_2050. A Practical Guide to a Prosperous, Low Carbon Europe. Available online: http://www.roadmap2050.eu (accessed on 10 March 2017).
18. Van Groenigen, K.J.; Osenberg, C.W.; Hungate, B.A. Increased soil emissions of potent greenhouse gases under increased atmospheric CO2. Nature 2011, 475, 214-216.
19. Le Mer, J.; Roger, P. Production, oxidation, emission and consumption of methane by soils: A review. Eur. J. Soil Biol. 2001, 37, 25-50.
20. Pathak, H.; Prasad, S.; Bhatia, A.; Singh, S.; Kumar, S.; Singh, J.; Jain, M. C. Methane emission from ricewheat cropping system in the Indo-Gangetic plain in relation to irrigation, farmyard manure and dicyandiamide application. Agric. Ecosyst. Environ. 2003, 97, 309-316.
21. Linquist, B.A.; Adviento-Borbe, M.A.; Pittelkow, C.M.; van Kessel, C.; van Groenigen, K.J. Fertilizer management practices and greenhouse gas emissions from rice systems: A quantitative review and analysis. Field Crops Res. 2012, 135, 10-21.
22. Ma, J.; Li, X.L.; Xu, H.; Han, Y.; Cai, Z.C.; Yagi, K. Effects of nitrogen fertiliser and wheat straw application on CH4 and N2O emissions from a paddy rice field. Aust. J. Soil Resour. 2007, 45, 359-367.
23. Zou, J.; Huang, Y.; Jiang, J.; Zheng, X.; Sass, R.L. A 3-year field measurement of methane and nitrous oxide emissions from rice paddies in China: Effects of water regime, crop residue, and fertilizer application. Glob. Biogeochem. Cycles 2005, 19, doi:10.1029/2004GB00240.
24. Smith, P.; Martino, D.; Cai, Z.; Gwary, D.; Janzen, H.; Kumar, P.; McCarl, B.; Ogle, S.; O'Mara, F.; Rice, C.; et al. Greenhouse gas mitigation in agriculture. Phil. Trans. R. Soc. B. 2008, 363, 789-813.
25. Ma, Y.C.; Kong, X.W.; Yang, B.; Zhang, X.L.; Yan, X.Y.; Yang, J.C.; Xiong, Z.Q. Net global warming potential and greenhouse gas intensity of annual rice-wheat rotations with integrated soil-crop system management. Agric. Ecosyst. Environ. 2013, 164, 209-219.
26. FAO. Global Estimates of Gaseous Emissions of NH3, NO and N2O from Agricultural Land. Available online: ftp://ftp.fao.org/agl/agll/docs/globest.pdf (accessed on 10 March 2017).
27. Bouwman, A.F.; Boumans, L.J.M.; N.H., B. Modeling Global Annual N2O and NO Emissions from Fertilized Fields. Glob. Biogeochem. Cycles 2002, 16, 1080-1107.
28. Lal, R. Soil Carbon Sequestration Impacts on Global Climate Change and Food Security. Science 2004, 304, 1623-1627.
29. Cannell, M.G.R. Carbon sequestration and biomass energy offset: Theoretical, potential and achievable capacities globally, in Europe and the UK. Biomass Bioenergy 2003, 24, 97-116.
30. Schneider, U.A.; McCarl, B.A. Economic Potential of Biomass Based Fuels for Greenhouse Gas Emission Mitigation. Environ. Resour. Econ. 2003, 24, 291-312.
31. Robertson, G.P.; Grace, P.R. Greenhouse Gas Fluxes in Tropical and Temperate Agriculture: The need for a Full-Cost accounting of Global Warming Potentials. Environ. Dev. Sustain. 2004, 6, 51-63.
32. Schils, R.L.M.; Verhagen, A.; Aarts, H.F.M.; Šebek, L.B.J. A farm level approach to define successful mitigation strategies for GHG emissions from ruminant livestock systems. Nutr. Cycl. Agroecosys. 2005, 71, 163-175.
33. Mangalassery, S.; Sjögersten, S.; Sparkes, D.L.; Sturrock, C.J.; Craigon, J.; Mooney, S.J. To what extent can zero tillage lead to a reduction in greenhouse gas emissions from temperate soils? Sci. Rep. 2014, 4, 4586.
34. Robertson, G. P. Keeping Track of Carbon. Science 1999, 285, 1849-1849.
35. Eory, V.; Moran, D. Review of Potential Measures for RPP2-Agriculture. Available online: http://www.climatexchange.org.uk/files/3413/7338/8148/Review_of_Potential_Measures_for_RPP2_-_Agriculture.pdf (accessed on 15 March 2017).
36. UK. Government. Indicator 2: Uptake of Mitigation Methods. Available online: https://www.gov.uk/ government/uploads/system/uploads/attachment_data/file/448954/ghgindicator-2mitigation-29jul15.pdf (accessed on 15 March 2017).
37. LIFE_Environment. Climate Change Mitigation. Available online: https://ec.europa.eu/clima/sites/clima/files/docs/climate_change_mitigation_en.pdf (accessed on 19 May 2017).
38. CAP_Reform. Overview of CAP Reform 2014-2020. Available online: https://ec.europa.eu/agriculture/ sites/agriculture/files/policy-perspectives/policy-briefs/05_en.pdf (accessed on 10 April 2017).
39. Schwarz, J.; Herold, L.; Pölling, B. Typology of PF Technologies; FP7 Project Future Farm. Available online: http://www.futurefarm.eu/ (accessed on 24 May 2017).
40. Behic Tekin, A.; Okyay Sindir, K. Variable Rate Control System Designed for Spinner Disc Fertiliser Spreader-"Pre Fer". Agric. Eng. 2013, 2, 45-53.
41. Hijazi, B.; Cool, S.; Vangeyte, J.; Mertens, K.; Cointault, F.; Paindavoine, M.; Pieters, J. High Speed Stereovision Setup for Position and Motion Estimation of Fertilizer Particles Leaving a Centrifugal Spreader. Sensors 2014, 14, 21466.
42. Grisso, R.; Alley, M.; Thomason, W.; Holshouser, D.; Roberson, G. T. Precision Farming Tools: Variable- Rate Application. Available online: https://www.pubs.ext.vt.edu/content/dam/pubs_ext_vt_edu/442/442-505/442-505_PDF.pdf (accessed on 20 March 2017).
43. Calcante, A.; Brambilla, M.; Oberti, R.; Bisaglia, C. A Retrofit Variable-Rate Control System for Pressurized Slurry Tankers. Appl. Eng. Agric. 2015, 31, 569-579.
44. Brambilla, M.; Calcante, A.; Oberti, R.; Bisaglia, C. Slurry tanker retrofitting with variable rate dosing system: A case study. In Precision Agriculture '15; Wageningen Academic Publishers: Wageningen, The Netherlands, 2015; pp. 361-368.
45. Morgan, J.; Connolly, E. Plant-soil interactions: nutrient uptake. Nat. Educ. Knowl. 2013, 4, 2.
46. Bentrup, F.; Paliere, C. Energy Efficiency and Greenhouse gas Emissions in European Nitrogen Fertilizer Production and Use. Fertilizers_Europe. Available online: http://www.fertilizerseurope.com/fileadmin/ user_upload/publications/agriculture_publications/Energy_Efficiency__V9.pdf (accessed on 4 April 2017).
47. Wood, S.; Cowie, A. A Review of Greenhouse Gas Emission Factors for Fertiliser Production; For IEA Bioenergy Task 38; Orange, Research and Development Division, State Forests of New South Wales: New South Wales, Australia, 2004.
48. Schepers, J.S.; Raun, W.R. Nitrogen in Agricultural Systems; American Society of Agronomy, Crop Science Society of America, Soil Science Society of America: Madison, WI, USA, 2008.
49. Kang, N.; Jung, M.-H.; Jeong, H.-C.; Lee, Y.-S. Comparison of pooled standard deviation and standardizedt bootstrap methods for estimating uncertainty about average methane emission from rice cultivation. Atmos. Environ. 2015, 111, 39-50.
50. Liu, Y.; Zhou, Z.; Zhang, X.; Xu, X.; Chen, H.; Xiong, Z. Net global warming potential and greenhouse gas intensity from the double rice system with integrated soil-crop system management: A three-year field study. Atmos. Environ. 2015, 116, 92-101.
51. Bausch, W.C.; Delgado, J.A. Impact of Residual Soil Nitrate on In-Season Nitrogen Applications to Irrigated Corn Based on Remotely Sensed Assessments of Crop Nitrogen Status. Precis. Agric. 2005, 6, 509-519.
52. Millar, N.; Robertson, G.P.; Grace, P.R.; Gehl, R.J.; Hoben, J.P. Nitrogen fertiliser management for nitrous oxide (N2O) mitigation in intensive corn (Maize) production: an emissions reduction protocol for US. Midwest agriculture. Mitig. Adapt. Strat. Gl. Change 2010, 15, 185-204.
53. Ribaudo, M.; Delgado, J.; Hansen, L.; Livingston, M.; Mosheim, R.; Williamson, J. Nitrogen in Agricultural Systems: Implications for Conservation Policy. Dept. Agric. Econ. Res. Serv. 2011.
54. Eurostat. Gross nitrogen surplus in EU 28. Available Online: http://ec.europa.eu/eurostat/statisticsexplained/ index.php/File:Gross_Nitrogen_Surplus,_EU-28,_CH_and_NO,_average_2005-08_vs_2009-12.png (accessed on 20 April 2017).
55. Bates, J.; Brophy, N.; Harfoot, M.; Webb, J. Sectoral Emission Reduction Potentials and Economic Costs for Climate Change (SERPEC-CC). In Agriculture: Methane and Nitrous oxide; Ecofys Netherlands: Utrecht, The Netherlands, 2009.
56. Hoben, J.P.; Gehl, R.J.; Millar, N.; Grace, P.R.; Robertson, G.P. Nonlinear nitrous oxide (N2O) response to nitrogen fertilizer in on-farm corn crops of the US Midwest. Glob. Chang. Biol. 2011, 17, 1140-1152.
57. McSwiney, C. P.; Robertson, G. P. Nonlinear response of N2O flux to incremental fertilizer addition in a continuous maize (Zea mays L.) cropping system. Glob. Chang. Biol. 2005, 11, 1712-1719.
58. Ogle, S.; Archibeque, S.; Gurung, R.; Paustian, K. Report on GHG Mitigation Literature Review for Agricultural Systems; US. Department of Agriculture, Climate Change Program Office: Fort Collins, CO, USA, 2010.
59. Babcock, B.A.; Paustian, K.; Hatfield, J.; Kling, C.L.; Lal, R.; McCarl, B.; McLaughlin, S.; Mosier, A.; Post, W.; Robertson, G.P.; et.al. Climate Change and Greenhouse Gas Mitigation: Challenges and Opportunities for Agriculture; Council on Agricultural Science and Technology (CAST): Ames, IA, USA, 2004.
60. Sehy, U.; Ruser, R.; Munch, J.C. Nitrous oxide fluxes from maize fields: relationship to yield, site-specific fertilization, and soil conditions. Agric. Ecosys. Environ. 2003, 99, 97-111.
61. Søgaard, H.T.; Kierkegaard, P. Yield Reduction Resulting from Uneven Fertilizer Distribution. Trans. ASAE 1994, 37, 1749-1752.
62. Raun, W.R.; Solie, J.B.; Johnson, G.V.; Stone, M.L.; Lukina, E.V.; Thomason, W.E.; Schepers, J.S. In-Season Prediction of Potential Grain Yield in Winter Wheat Using Canopy Reflectance. Agro. J. 2001, 93, 131-138.
63. Biggar, S.; Man, D.; Moffroid, K.; Pape, D.; Riley-Gilbert, M.; Steele, R.; Thompson, V. Greenhouse Gas Mitigation Options and Costs for Agricultural Land and Animal Production within the United States; ICF international. Department of Agriculture Climate Change Program Office: Washington, DC, USA, 2013.
64. Tekin, A.B. Variable rate fertiliser application in Turkish wheat agriculture: Economic assessment. Afr. J. Agric. Res. 2010, 5, 647-652.
65. Koch, B.; Khosla, R.; Frasier, W.M.; Westfall, D.G.; Inman, D. Economic Feasibility of Variable-Rate Nitrogen Application Utilizing Site-Specific Management Zones This study was conducted through a USDA-IFAFS-funded grant. Agron. J. 2004, 96, 1572-1580.
66. HydroSence. Innovative Precision Technologies for Optimised Irrigation and Integrated Crop Management in a Water-Limited Agrosystem; LIFE+ PROJECT; LIFE08 ENV/GR/000570; Best LIFE Projects: Athens, Greece, 2013.
67. Raun, W.R.; Solie, J.B.; Johnson, G.V.; Stone, M.L.; Mullen, R.W.; Freeman, K.W.; Thomason, W.E.; Lukina, E.V. Improving Nitrogen Use Efficiency in Cereal Grain Production with Optical Sensing and Variable Rate Application. Agron. J. 2002, 94, 815-820.
68. Mamo, M.; Malzer, G.L.; Mulla, D.J.; Huggins, D.R.; Strock, J., Spatial and temporal variation in economically optimum nitrogen rate for corn. Agron. J. 2003, 95, 958-964.
69. Huber, D.M.; Sutton, A.L.; Jones, D.D.; Joern, B.C.; Mitchell, J.K., Nutrient management of manure to enhance crop production and protect the environment. In Proceedings of the Integrated Resource Mgt. Landscape Modifications for Environ. Protect. Conference, ASABE, Chicago, IL, USA, 13-14 December 1993.
70. Morris, D. K.; Ess, D. R.; Hawkins, S. E.; Parsons, S. D. Development of a site-specific application system for liquid animal manures. Appl. Eng. Agric. 1999, 15, 633-638.
71. Schellberg, J.; Lock, R.A site-specific slurry application technique on grassland and on arable crops. Bioresour. Technol. 2009, 100, 280-286.
72. Weisz, R.; Heiniger, R.; White, J.G.; Knox, B.; Reed, L. Long-Term Variable Rate Lime and Phosphorus Application for Piedmont No-Till Field Crops. Precis. Agric. 2003, 4, 311-330.
73. Kuang, B.; Y., T.; T., W.; Mouazen, A. M. Variable rate lime application based on on-line visible and near infrared (vis-NIR) spectroscopy measurement of soil properties in a Danish field. In Proceedings of the AgEng Conference, Zurich, Switzerland, 6-10 July 2014.
74. Swinton, S.M.; Lowenberg-DeBoer, J. Evaluating the Profitability of Site-Specific Farming. J. Produc. Agric. 1998, 11, 439-446.
75. Pierce, F.J.; Warncke, D.D. Soil and crop response to variable-rate liming for two Michigan fields. Soil Sci. Soc. Am. J. 2000, 64, 774-780.
76. Lambert, D.; Lowenberg-De Boer, J. Precision Agriculture Profitability Review; Purdue University: West Lafayette, IN, USA, 2000.
77. Bongiovanni, R.; Lowenberg-Deboer, J. Economics of Variable Rate Lime in Indiana. Precis. Agric 2000, 2, 55-70.
78. Berne, D. Agricultural Irrigation Initiative: Overview of Center Pivot Irrigation Systems. Available online: https://neea.org/docs/default-source/reports/overview-of-center-pivot-irrigation-systems.pdf?sfvrsn=4 (accessed on 12 May 2017).
79. CSANR. Available online: http://csanr.wsu.edu/wp-content/uploads/2014/07/ Peters_LEPA_2014_BIOAg.pdf (accessed on 14 May 2017).
80. McCann, I.R.; King, B.A.; Stark, J.C. Variable rate water and chemical application for continuous-move sprinkler irrigation systems. Appl. Eng. Agric. 1997, 13. 609-615.
81. King, B.A.; McCann, I.R.; Eberlein, C.V.; Stark, J.C. Computer control system for spatially varied water and chemical application studies with continuous-move irrigation systems. Comput. Electon. Agric. 1999, 24, 177-194.
82. Omary, M.; Camp, C.R.; Sadler, E.J. Center pivot irrigation system modification to provide variable water application depths. Appl. Eng. Agric. 1997, 13, 235-239.
83. Stone, K.C.; Sadler, E.J.; Millen, J.A.; Evans, D.E.; Camp, C.R. Water flow rates from a site-specific irrigation system. Appl. Eng. Agric. 2006, 22, 73-78.
84. Dukes, M.D.; Perry, C. Uniformity testing of variable-rate center pivot irrigation control systems. Precis. Agric. 2006, 7, 205.
85. Han, Y.J.; Khalilian, A.; Owino, T.O.; Farahani, H.J.; Moore, S. Development of Clemson variable-rate lateral irrigation system. Comput. Electon. Agric. 2009, 68, 108-113.
86. Chávez, J.L.; Pierce, F.J.; Elliott, T.V.; Evans, R.G.; Kim, Y.; Iversen, W.M. A remote irrigation monitoring and control system (RIMCS) for continuous move systems. Part B: field testing and results. Precis. Agric. 2010, 11, 11-26.
87. King, B.A.; Kincaid, D.C. A variable flow rate sprinkler for site-specific irrigation management. Tran. ASAE. 2004, 20, 765-770.
88. Evans, R.G.; LaRue, J.; Stone, K.C.; King, B.A. Adoption of site-specific variable rate sprinkler irrigation systems. Irrig. Sci. 2013, 31, 871-887.
89. Camp, C.R. Subsurface drip irrigation: a review. Tran. ASAE. 1998, 41, 1353-1367.
90. Sadler, E.J.; Evans, R.G.; Stone, K.C.; Camp, C.R. Opportunities for conservation with precision irrigation. J. Soil Water Conserv. 2005, 60, 371-378.
91. La Rua, J.; Evans, R. Considerations for variable rate irrigation. In Proceedings of the 24th Annual Central Plains irrigation Conference, Colby, Kansas, USA, 21-22 February 2012.
92. Trost, B.; Prochnow, A.; Drastig, K.; Meyer-Aurich, A.; Ellmer, F.; Baumecker, M. Irrigation, soil organic carbon and N2O emissions. Agron. Sustain. Dev. 2013, 33, 733-749.
93. Tomasiewicz, D.J.; Hingley, L.; Derdall, E.; Vestre, B. Variable Rate Irrigation: The Next Big Thing in Irrigated Agriculture? In Proceedings of the Soils and Crops Conference, Saskatchewan, SK, Canada, 5-6 March 2013.
94. Seo, S.; Segarra, E.; Mitchell, P.D.; Leatham, D.J. Irrigation technology adoption and its implication for water conservation in the Texas High Plains: a real options approach. Agric. Econ. 2008, 38, 47-55.
95. Booker, J.D.; Lascano, R.J.; Molling, C.C.; Zartman, R.E.; Acosta-Martínez, V. Temporal and spatial simulation of production-scale irrigated cotton systems. Precis. Agric. 2015, 16, 630-653.
96. Evans, R.G.; King, B.A. Site-Specific Sprinkler Irrigation in a Water-Limited Future. Tran. ASABE. 2012, 55, 493-504.
97. Hedley, C.B.; Yule, I.J. Soil water status mapping and two variable-rate irrigation scenarios. Precis. Agric. 2009, 10, 342-355.
98. Daccache, A.; Knox, J.W.; Weatherhead, E.K.; Daneshkhah, A.; Hess, T.M. Implementing precision irrigation in a humid climate-Recent experiences and on-going challenges. Agric. Water Manag. 2015, 147, 135-143.
99. Abidine, A.Z.; Heidman, B.C.; Upadhyaya, S.K.; Hills D.J. Application of RTK GPS Based Auto-Guidance System in Agricultural Production; ASABE: St Joseph, MI, USA, 2002.
100. Shockley, J.M.; Dillon, C.R.; Stombaugh, T.S. A Whole Farm Analysis of the Influence of Auto-Steer Navigation on Net Returns, Risk, and Production Practices. J. Agric. Appl. Econ. 2015, 43, 57-75.
101. Bora, G.C.; Nowatzki, J.F.; Roberts, D.C. Energy savings by adopting precision agriculture in rural USA. Energy Sustain. Soc. 2012, 2, 22.
102. Ortiz, B.V.; Balkcom, K.B.; Duzy, L.; van Santen, E.; Hartzog, D.L. Evaluation of agronomic and economic benefits of using RTK-GPS-based auto-steer guidance systems for peanut digging operations. Precis. Agric. 2013, 14, 357-375.
103. Bergtold, J.S.; Raper, R.L.; Schwab, E.B. The Economic Benefit of Improving the Proximity of Tillage and Planting Operations in Cotton Production with Automatic Steering. Appl. Eng. Agric. 2009, 25, 133-143.
104. Grisso, R.; Alley, M.; Groover, G. Precision Farming tools: GPS Navigation. Virginia Cooperative Extension. Available online: https://pubs.ext.vt.edu/442/442-501/442-501.html (accessed on 20 May 2017)
105. Jensen, H.G.; Jacobsen, L.-B.; Pedersen, S.M.; Tavella, E. Socioeconomic impact of widespread adoption of precision farming and controlled traffic systems in Denmark. Precis. Agric. 2012, 13, 661-677.
106. Tullberg, J.N. CTF and Global Warming. Available online: http://actfa.net/wp-content/uploads/2014/02/ CTF-and-Global-Warming.pdf (accessed on 20 May 2017).
107. CTF_Europe Benefits of Controlled Traffic Farming. Available online: http://www.controlledtrafficfarming.com/WhatIs/Benefits-Of-CTF.aspx (accessed on 22 May 2017).
108. Horsch. Talking CTF. Available online: http://courteenhall.co.uk/wp-content/uploads/2015/03/H035- Talking-CTF-web-2.pdf (accessed on 24 May 2017).
109. Chamen, T. Impact of Machinery on Soils and Crops. Available online: http://www.controlledtrafficfarming.com/downloads/CTF-Uffington-ImpactMachinerySoilsCrops.pdf (accessed on 25 May 2017).
110. GRDC. Controlled Traffic Farming Fact Sheet. Available online: https://grdc.com.au/__data/assets/pdf_file/0028/83872/grdcfsctflow-respdf.pdf.pdf (accessed on 27 May 2017).
111. Karkee, M.; Steward, B.; J., K. Automation of pesticide application systems. In Agricultural Automation, Fundamentals and Practices; Zhang, Q., Pierce, F.J., Eds.; CRC Press: Boca Raton, FL, USA, 2013.
112. Ess, D.R.; Parsons, S.D.; Case, R.M. Implementing Site-Specific Management: Sprayer Technology- Controlling Application Rate on the Go. Available online: http://www.ces.purdue.edu/extmedia/AE/SSM- 5-W.pdf (accessed on 22 July 2016).
113. Timmermann, C.; Gerhards, R.; Kühbauch, W. The Economic Impact of Site-Specific Weed Control. Precis. Agric. 2003, 4, 249-260.
114. Vasileiadis, V.P.; Moonen, A.C.; Sattin, M.; Otto, S.; Pons, X.; Kudsk, P.; Veres, A.; Dorner, Z.; van der Weide, R.; Marraccini, E.; et.al. Sustainability of European maize-based cropping systems: Economic, environmental and social assessment of current and proposed innovative IPM-based systems. Eur. J. Agron. 2013, 48, 1-11.
115. Gerhards, R.; Sökefeld, M.; Timmermann, C.; Reichart, S.; Kühbauch, W.; Williams, M.M. Results of a fouryear study on site-specific herbicide application. In Proceedings of the 2nd European Conference on Precision Agriculture, Odense, Denmark, 11-15 July 1999; pp. 689-697.
116. Heisel, T.; Christensen, S.; Walter, A.M. Whole-field experiments with site-specific weed management. In Proceeding of the 2nd European Conference on Precision Agriculture, Odense, Denmark, 11-15 July 1999; pp. 759-768.
117. Dammer, K.H.; Wartenberg, G. Sensor-based weed detection and application of variable herbicide rates in real time. Crop Prot. 2007, 26, 270-277.
118. Solanelles, F.; Escolà, A.; Planas, S.; Rosell, J.R.; Camp, F.; Gràcia, F. An Electronic Control System for Pesticide Application Proportional to the Canopy Width of Tree Crops. Biosyst. Eng. 2006, 95, 473-481.
119. Gil, E.; Escolà, A.; Rosell, J.R.; Planas, S.; Val, L. Variable rate application of plant protection products in vineyard using ultrasonic sensors. Crop Prot. 2007, 26, 1287-1297.
120. Llorens, J.; Gil, E.; Llop, J.; Escolà, A. Variable rate dosing in precision viticulture: Use of electronic devices to improve application efficiency. Crop Prot. 2010, 29, 239-248.
121. Chen, Y.; Ozkan, H.E.; Zhu, H.; Derksen, R.C.; Krause, C.R. Spray Deposition inside Tree Canopies from a Newly Developed Variable-Rate Air-Assisted Sprayer. Tran. ASABE 2013, 56, 1263-1272.
122. Dammer, K.-H.; Adamek, R. Sensor-Based Insecticide Spraying to Control Cereal Aphids and Preserve Lady Beetles. Agron. J. 2012, 104, 1694-1701.
123. Batte, M.T.; Ehsani, M.R. The economics of precision guidance with auto-boom control for farmer-owned agricultural sprayers. Comput. Electron. Agric. 2006, 53, 28-44.
124. IPCC. Climate Change 2007: The Physical Science Basis; Fourth Assessment Report; IPCC: New York, NY, USA, 2007.
125. Oriade, C.A.; King, R.P.; Forcella, F.; Gunsolus, J.L. A Bioeconomic Analysis of Site-Specific Management for Weed Control. Rev. Agric. Econ. 1996, 18, 523-535.
126. Swinton, S.M. Site-specific pest management. In Pesticides-Problems, Improvements, Alternatives; den Hond, F., Groenewegen, P., van Straalen, N.M., Eds.; Oxford: England, UK, 2003; p 155.
127. Gerhards, R.; Sökefeld, M. Precision farming in weed control-System components and economic benefits. In Precision Agric; Stafford, J.V., Werner, A., Eds.; Wageningen Academic Publishers: Wageningen, The Netherlands, 2003; pp. 229-234.
128. Vasileiadis, V.P.; Sattin, M.; Otto, S.; Veres, A.; Pálinkás, Z.; Ban, R.; Pons, X.; Kudsk, P.; van der Weide, R.; Czembor, E.; et.al. Crop protection in European maize-based cropping systems: Current practices and recommendations for innovative Integrated Pest Management. Agric. Sys. 2011, 104, 533-540.
129. Trimble. Available online: www.trimble.com (accessed on 18 April 2017).
130. Hörbe, T.A. N.; Amado, T.J. C.; Ferreira, A.O.; Alba, P.J. Optimization of corn plant population according to management zones in Southern Brazil. Precis. Agric. 2013, 14, 450-465.
131. Decisive_Farming. Variable Rate Seeding Benefits. Available Online: http://www.decisivefarming.com/ variable-rate-seeding-benefits/ (accessed on 22 April 2017).
132. IPF. Under the microscope: Variable seed rate application. Available online: http://www.ipfaf.com/precision-farming/media/enews-oct14.pdf (accessed on 27 April 2017).
133. Hefty, D. Variable Rate Variety Planting in Wheat and Soybeans. AgPhD. Available online: http://www.agphd.com/ag-phd-newsletter/2014/03/21/variable-rate-variety-planting-in-wheat-andsoybeans/ (accessed on 3 May 2017).
134. Eric, S. Something Old: VRA Seeding & Nitrogen. Cotton Grow. Available online: http://www.cottongrower.com/crop-inputs/precision-technology/something-old-vra-seeding-nitrogen/ (accessed on 5 May 2017).
135. Bullock, D.G.; Bullock, D.S.; Nafziger, E.D.; Doerge, T.A.; Paszkiewicz, S.R.; Carter, P.R.; Peterson, T.A. Does variable rate seeding of corn pay? Agron. J. 1998, 90, 830-836.
136. Lowenberg-DeBoer, J. M. Economics of Variable Rate Planting for Corn. In Proceedings of the 4th International Conference on Precision Agriculture; Lafayette: Louisiana, IN, USA, 1998; pp. 1643-1651.
137. Taylor, R.K.; Staggenborg, S. Using a GIS to Evaluate the Potential of Variable Rate Corn Seeding. In Proceedings of the ASAE Meeting Presentation, Milwaukee, WI, USA, 9-12 July 2000.
138. Shanahan, J.F.; Doerge, T.A.; Johnson, J.J.; Vigil, M.F. Feasibility of Site-Specific Management of Corn Hybrids and Plant Densities in the Great Plains. Precis. Agric. 2004, 5, 207-225.
139. Dillon, C.R.; Gandonou, J.; J., S. Variable rate seeding for French wheat production: profitability and production risk management potential. In JIAC2009 Book of Abstracts; Lokhorst, C., Huijsmans, J.F.M., de Louw, R.P.M., Eds.; Wageningen Academic Publishers: Wageningen, The Netherlands, 2009, p. 350.
140. Velandia, M.; Buschermohle, M.; Larson, J.A.; Thompson, N.M.; Jernigan, B.M. The economics of automatic section control technology for planters: A case study of middle and west Tennessee farms. Comput. Electron. Agric. 2013, 95, 1-10.
141. Martelloni, L. Design and Realization of an Innovative Automatic Machine Able to Perform Site-Specific Thermal Weed Control in Maize. Ph.D. Thesis, Università degli Studi di Firenze, Firenze, Italy, 2014.
142. Peteinatos, G.G.; Rueda-Ayala, R.; Gerhards, R.; Andujar, D. Precision harrowing with a flexible tine harrow and an ultrasonic sensor. In Precision Agriculture '15; Stafford, J.V., Ed.; Wageningen Academic Publishers: Wageningen, The Netherlands, 2015; pp. 579-586.
143. Norremark, M. Technologies for precision weed control. In Proceedings of the 3rd Conference of Precision crop Protection, Bonn, Germany, 19-21 September 2010.
144. Peruzzi, A.; Raffaelli, M.; Ginanni, M.; Lulli, L.; Frasconi, C.; Fontanelli, M. Innovative operative machines for physical weed control on tomato in the Serchio Valley (Central Italy). In Proceedings of the International Conference "Innovation Technology to Empower Safety, Health and Welfare in Agriculture and Agro-food Systems", Ragusa, Italy, 15-17 September 2008.