Navdeep Singh, Clarissa Getigan, Juan Marcelo Gómez
ABSTRACT
Agriculture contributes significantly to greenhouse gas emissions, mainly attributable to the ineffective and uniform application of fertilizers, seeds, pesticides, and irrigation water. Precision agriculture technologies, especially those utilizing variable rate input applications, provide an effective solution by modulating input quantities according to the distinct conditions of each field segment. While prior research has examined the theoretical advantages of these technologies, few empirical studies have measured environmental and agronomic effects across various input types. This study examines primary data from variable rate fertilizer application by quantifying the reductions in input utilization and corresponding scope three greenhouse gas emissions. The analysis contrasts traditional uniform application methods with precision-based strategies, demonstrating quantifiable advantages in reduced indirect emissions, enhanced input-use efficiency, and improved crop yield. The results encourage precision agriculture techniques by underscoring the environmental and productivity advantages of precision-managed inputs to guide agricultural policy, promote sustainable farming practices, and aid global warming mitigation efforts.
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REFERENCES
Auditor General of Canada, Emission Reductions Through Greenhouse Gas Regulations - Environment and Climate Change Canada: Independent Auditor’s Report. Ottawa: Office of the Auditor General of Canada / Bureau du vérificateur général du Canada, 2023.
Government of Canada, Greenhouse Gas Emissions and Agriculture. [Online]. Available: https://agriculture.canada.ca/en/environment/greenhouse-gases (accessed: Dec. 29, 2024).
A. Balafoutis et al., “Precision agriculture technologies positively contributing to GHG emissions mitigation, farm productivity and economics,” Sustainability, vol. 9, no. 8, 1339, July 2017, doi: 10.3390/su9081339.
K. Späti, R. Huber, and R. Finger, “Benefits of increasing information accuracy in variable rate technologies,” Ecological Economics, vol. 185, 107047, January 2022, doi: 10.1016/j.ecolecon.2021.107047.
P. P. Pawase et al., “Variable rate fertilizer application technology for nutrient management: A review,” Int J Agric & Biol Eng, vol. 16, no. 4, pp. 11–19, July 2023.
S. Fabiani et al., “Assessment of the economic and environmental sustainability of variable rate technology (VRT) application in different wheat-intensive European agricultural areas. A water energy food nexus approach,” Environmental Science & Policy, vol. 114, pp. 366–376, August 2020, doi: 10.1016/j.envsci.2020.08.019.
S. Bahmutsky, F. Grassauer, V. Arulnathan, and N. Pelletier, “A review of life cycle impacts and costs of precision agriculture for cultivation of field crops,” Sustainable Production and Consumption, vol. 52, pp. 347–362, November 2024, doi: 10.1016/j.spc.2024.11.010.
M. Kazlauskas, I. Bručienė, A. Jasinskas, and E. Šarauskis, “Comparative analysis of energy and GHG emissions using fixed and variable fertilization rates,” Agronomy, vol. 11, no. 1, p. 138, January 2021, doi: 10.3390/agronomy11010138.
Y. Lan, S. Zhang, W. Li, and Ma, W. C. Hoffmann, C., “Variable rate fertilization for maize and its effects based on the site-specific soil fertility and yield.” [Online]. Available: https://cigrjournal.org/index.php/Ejounral/article/download/1269/1125/0? (accessed: Nov. 22, 2025).
R. Lal and B. A. Stewart, Soil-Specific Farming: Precision Agriculture, 1st ed. Boca Raton: CRC Press, 2015. [Online]. Available: https://www.taylorfrancis.com/books/mono/10.1201/b18759/soil-specific-farming-stewart-rattan-lal
D. Tilman, K. G. Cassman, P. A. Matson, R. Naylor, and S. Polasky, “Agricultural sustainability and intensive production practices,” Nature, vol. 418, no. 6898, pp. 671–677, August 2002, doi: 10.1038/nature01014.
J. M. Gómez and J. G. Keogh, “Informatics for the food supply chain and traceability systems,” in AgriFood Informatics: Biological, Chemical, and Health Informatics for Agriculture and Food, B. German, M. Lange, and E. Steliotes, Eds., Cambridge: Royal Society of Chemistry, 2026, Ch. 11, in-press.
Commission on Sustainable Agriculture and Climate Change, “Final report: Achieving food security in the face of climate change,” Commission on Sustainable Agriculture and Climate Change, Mar. 2012.
FAO, “Global database of GHG emissions related to feed crops,” Food and Agriculture Organization of the United Nations and Rome, 2017.
J. A. Foley et al., “Solutions for a cultivated planet,” Nature, vol. 478, no. 7369, pp. 337–342, 2011, doi: 10.1038/nature10452.
E. Šarauskis et al., “Variable rate seeding in precision agriculture: Recent advances and future perspectives,” Agriculture, vol. 12, no. 2, p. 305, February 2022, doi: 10.3390/agriculture12020305.
R. Grisso, M. Alley, W. Thomason, D. Holshouser, and O. Roberson, “Precision farming tools: Variable-rate application-Precision, geospatial, and sensor technologies.” Produced by Communications and Marketing, College of Agriculture and Life Sciences, Virginia Polytechnic Institute and State University, 442-505, 2011.
T. W. Griffin and L. Traywick, “The role of variable rate technology in fertilizer usage,” Journal of Applied Farm Economics, vol. 3, no. 2, pp. 59–67, 2020, doi: 10.7771/2331-9151.1049.
G. Papadopoulos, S. Arduini, H. Uyar, V. Psiroukis, A. Kasimati, and S. Fountas, “Economic and environmental benefits of digital agricultural technologies in crop production: A review,” Smart Agricultural Technology, vol. 8, 100441, March 2024, doi: 10.1016/j.atech.2024.100441.
F. Pallottino, M. Biocca, P. Nardi, S. Figorilli, P. Menesatti, and C. Costa, “Science mapping approach to analyze the research evolution on precision agriculture: World, EU and Italian situation,” Precision Agric, vol. 19, no. 6, pp. 1011–1026, March 2018, doi: 10.1007/s11119-018-9569-2.
E. A. Flint et al., “Irrigation zone delineation and management with a field-scale variable rate irrigation system in winter wheat,” Agronomy, vol. 13, no. 4, 1125, April 2023, doi: 10.3390/agronomy13041125.
K. Späti, R. Huber, I. Logar, and R. Finger, “Incentivizing the adoption of precision agricultural technologies in small‐scaled farming systems: A choice experiment approach,” J of Agr & App Econ Assoc, vol. 1, no. 3, pp. 236–253, August 2022, doi: 10.1002/jaa2.22.
Marco Ammoniaci, Simon-Paolo Kartsiotis, Rita Perria, and Paolo Storchi, “State of the art of monitoring technologies and data processing for precision viticulture,” Agriculture 2021, vol. 11, pp 1-20, February 2021.
D. S. Bullock, M. L. Ruffo, D. G. Bullock, and G. A. Bollero, “The value of variable rate technology: An information‐theoretic approach,” American J Agri Economics, vol. 91, no. 1, pp. 209–223, February 2009, doi: 10.1111/j.1467-8276.2008.01157.x.
J. McFadden, F. Casalini, and J. Antón, “Policies to bolster trust in agricultural digitalization,” OECD 175, April 2022.
M. Masi, J. Di Pasquale, Y. Vecchio, and F. Capitanio, “Precision farming: Barriers of variable rate technology adoption in Italy,” Land, vol. 12, no. 5, 1084, May 2023, doi: 10.3390/land12051084.
P. J. Zarco-Tejada, N. Hubbard, and P. Loudjani, “Precision agriculture: An opportunity for EU farmers-potential support with the CAP 2014-2020,” European Parliament’s Committee on Agriculture and Rural Development, Belgium, June 2014. [Online]. Available: https://www.europarl.europa.eu/RegData/etudes/note/join/2014/529049/IPOL-AGRI_NT(2014)529049_EN.pdf
European Commission, Common Agricultural Policy. [Online]. Available: https://agriculture.ec.europa.eu/common-agricultural-policy_en (accessed: Nov. 11, 2025).
European Commission, Farm to Fork Strategy. [Online]. Available: https://food.ec.europa.eu/horizontal-topics/farm-fork-strategy_en (accessed: Nov. 11, 2025).
A. Abdalla and A. M. Nafchi, “Development and evaluation of an affordable variable rate applicator controller for precision agriculture,” AgriEngineering, vol. 6, no. 4, pp. 4639–4657, December 2024, doi: 10.3390/agriengineering6040265.
A. de Lara, T. Mieno, J. D. Luck, and L. A. Puntel, “Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation,” Precision Agric, vol. 24, no. 5, pp. 1792–1812, March 2023, doi: 10.1007/s11119-023-10018-8.
A. Uribeetxebarria, A. Castellón, I. Elorza, and A. Aizpurua, “Intra-plot variable N fertilization in winter wheat through machine learning and farmer knowledge,” Agronomy, vol. 12, no. 10, p. 2276, September 2022, doi: 10.3390/agronomy12102276.
W. Ding et al., “Conservation tillage enhances both organic and inorganic carbon in dryland: Insights from a 20-year field experiment and meta-analysis,” Agriculture, Ecosystems & Environment, vol. 393, p. 109845, July 2025, doi: 10.1016/j.agee.2025.109845.
A. Crane-Droesch, E. Marshall, S. Rosch, A. Riddle, J. Cooper, and S. Wallander, “Climate change and agricultural risk management into the 21st century: Economic research report,” U.S. Department of Agriculture, Economic Research Service, USA ERR-266, Jul. 2019. Accessed: Sep. 1, 2024.
D. Spiess, Alberta Soil Information Centre. [Online]. Available: https://www1.agric.gov.ab.ca/soils/soils.nsf/soilgroupmap?readform (accessed: Aug. 13, 2025).
D. Pennock, “Terrain attributes, landform segmentation, and soil redistribution,” Soil and Tillage Research, vol. 69, 1-2, pp. 15–26, February 2003, doi: 10.1016/S0167-1987(02)00125-3.
P. B. Hegedus et al., “Towards a low-cost comprehensive process for on-farm precision experimentation and analysis,” Agriculture, vol. 13, no. 3, p. 524, February 2023, doi: 10.3390/agriculture13030524.
E. Mapfumo, D. S. Chanasyk, D. Puurveen, S. Elton, and S. Acharya, “Historic climate change trends and impacts on crop yields in key agricultural areas of the prairie provinces in Canada: A literature review,” Can. J. Plant Sci., vol. 103, no. 3, pp. 243–258, April 2023, doi: 10.1139/cjps-2022-0215.
BASF, InVigor Hybrid Canola InVigor Choice LR344PC. [Online]. Available: https://agriculture.basf.us/content/dam/cxm/agriculture/crop-protection/products/documents/InVigor_Choice_LR344PC_US_Technology_Sheet.pdf (accessed: 02/29/2025).
G. Richards and E. Richards, DEKALB Canola Trial Report. [Online]. Available: https://tools.bayer.ca/trial-map/canola/2024/vct24can1715112441419 (accessed: Apr. 9, 2025).
Government of Alberta, Current and Historical Alberta Weather Station Data Viewer. [Online]. Available: https://www.acis.alberta.ca/acis/weather-data-viewer.jsp (accessed: Jul. 29, 2025).
AFSC, Grain Conversion Table.xlsx. [Online]. Available: https://afsc.ca/wp-content/uploads/2022/10/Grain-Conversion-Table.pdf (accessed: Apr. 24, 2025).
Faculty of Agriculture in Osijek, “Report on GHG emissions of cultivation of rape oilseed in Croatia,” Faculty of Agriculture in Osijek Department of Agroecology, 2017.
S. Ledgard and S. Falconer, “Update of the carbon footprint of fertilisers used in New Zealand,” Fertiliser Association of New Zealand, August 2019.
R. Pajura, A. Masłon, and J. Czarnota, “The use of waste to produce liquid fertilizers in terms of sustainable development and energy consumption in the fertilizer industry—A case study from Poland,” Energies 2023, vol. 15, no. 4, pp. 1–24, February 2023, doi: 10.3390/su15043459.
M. Mamo, G. L. Malzer, D. J. Mulla, D. R. Huggins, and J. Strock, “Spatial and temporal variation in economically optimum nitrogen rate for corn,” Agronomy Journal, vol. 95, no. 4, pp. 958–964, 2003.
N. Huang, X. Lin, F. Lun, R. Zeng, G. F. Sassenrath, and Z. Pan, “Nitrogen fertilizer use and climate interactions: implications for maize yields in Kansas,” Agricultural Systems, vol. 220, 104079, October 2024, doi: 10.1016/j.agsy.2024.104079.
Y.-C. Su, P.-W. Sun, H.-Y. Dai, and B.-J. Kuo, “Evaluating the impact of weather variability on maize yield fluctuation for different sowing dates,” Agricultural and Forest Meteorology, vol. 371, 110625, August 2025, doi: 10.1016/j.agrformet.2025.110625.
A. F. Colaço and J. P. Molin, “A five-year study of variable rate fertilization in citrus.” [Online]. Available: https://www.agriculturadeprecisao.org.br/wp-content/uploads/2019/11/cgr-2014_01.pdf (accessed: Nov. 22, 2025).
DOI: https://doi.org/10.46676/ij-fanres.v6i4.576
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