This study compares the cost and environmental impacts of precision agriculture with conventional mechanization, focusing on cotton spraying optimization in an Uzbek farm. Precision technologies such as auto-steering, variable-rate application, and low-volume spraying enable more efficient use of chemicals, water, and fuel, reducing operational costs and increasing yields. The results suggest that precision farming leads to significant cost savings and water usage reduction, while improving overall sustainability and environmental efficiency. Precision agriculture not only enhances economic performance but also contributes to sustainable farming practices, offering long-term benefits. The study concludes that precision agriculture is an economically viable and environmentally friendly solution, requiring skilled operators and long-term evaluation
XIII. ÉVFOLYAM 2025. SPECIAL ISSUES 3. 76-82
DOI: 10.24387/CI.SI.2025.3.13
A cikk megtekinthető: http://controllerinfo.hu/wp-content/uploads/2026/02/CI_különszám_2025_3_13.pdf
REFERENCES
BAHMUTSKY, S. – GRASSAUER, F. – ARULNATHAN, V. & PELLETIER, N. (2024): A review of life cycle impacts and costs of precision agriculture for cultivation of field crops. Sustainable Production and Consumption, 52, pp. 347–362. https://doi.org/10.1016/j.spc.2024.11.010
BALAFOUTIS, A. – BECK, B. – FOUNTAS, S. et al. (2017): Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics. Sustainability, 9(8), 1339. https://doi.org/10.3390/su9081339
BATTE, MT. & ARNHOLT, MW (2003): Precision Farming Adoption and Use in Ohio: Case Studies of Six Leading -Edge Adopters. Computers and Electronics in Agriculture, 38(2), pp. 125–139. https://doi.org/10.1016/S0168-1699(02)00143-6
BATTE, MT. & EHSANI, MR (2006): The economics of precision guidance with auto boom control for farmer owned agricultural sprayers. Computers and Electronics in Agriculture.
CAVALARIS, C. et al. (2022): Efficacy of cotton harvest AIDS applications with UAV and ground-based field sprayers: a case study comparison. Smart Agricultural Technology.
CHEN, P. et al. (2022): Evaluation of cotton defoliation rate and establishment of spray prescription map using remote control sensing imagery. Remote Sensing, 14(17), 4206.
EASTWOOD, C. – KLERKX, L. et al. (2017): Precision farming and the changing advisory role services: A review. NJAS – Wageningen Journal of Life Sciences, 90–91, pp. 1–10. https://doi.org/10.1016/j.njas.2017.02.001
FINCO, A. – BUCCI, G. – BELLETTI, M. & RASCIONI, A. (2021): The Economic Results of Investing in Precision Agriculture in Durum Wheat Production: A Case Study in Central Italy. Agronomy, 11(8), 1520. https://doi.org/10.3390/agronomy11081520
FOUNTAS, S. et al. (2020): Farmers ‘ information needs and reasoning in precision agriculture. Precision Agriculture, 21, pp. 505–521. https://doi.org/10.1007/s11119-019-09685-7
GABRIEL, A. & GANDORFER, M. (2023): Digital Farming in Bavaria: Adoption Rates and Withdrawals A phenomenon. Computers and Electronics in Agriculture, 210, 107955. https://doi.org/10.1016/j.compag.2023.107955
JIANG, Y. et al. (2023): Wetting and deposition characteristics of air assisted spray. PLOS ONE.
KARYDAS, C. – CHATZIANTONIOU, M. – TREMMA, O. et al. (2023): Profitability Assessment of Precision Agriculture Applications – A Step Forward in Farm Management. Applied Sciences, 13(17), 9640. https://doi.org/10.3390/app13179640
LIAO, J. et al. (2020): The relations of leaf area index with the spray quality and efficacy of cotton defoliant spraying using UAS. Computers and Electronics in Agriculture.
LIU, X. et al. (2021): Predicting spray deposit distribution inside a cotton plant canopy using Gaussian process models and stratification porosity. Biosystems Engineering.
LOWENBERG-DeBOER, J. & ERICKSON, B. (2019): Setting the Record Straight tin Precision Agriculture Adoption. Agronomy Journal, 111(4), pp. 1552–1569. https://doi.org/10.2134/agronj2018.12.0779
LUCK, J.D. et al. (2010): Potential for pesticide and nutrient savings via map -based automatic boom section control. Computers and Electronics in Agriculture.
MAJA, JM. et al. (2024): Evaluating the Effect of Pulse Width Modulation Controlled Duty Cycles tin Cotton Defoliant Application. AgriEngineering.
MARTIN, D.E. et al. (2017): Aerial electrostatic spray deposition and canopy penetration in cotton. Journal of Electrostatics.
MENG, Y. et al. (2022): Droplet distribution in cotton canopy. Plant Methods / BMC.
MIZIK, T. (2023): How can proximal sensors help decision- making in grape production? Heliyon, 9(5), e16322. https://doi.org/10.1016/j.heliyon.2023.e16322
MUNZ, J. (2024): What young precision agriculture is not profitable? Precision Agriculture, 25(6), pp. 1284–1323. https://doi.org/10.1007/s11119-024-10111-6
NEUPANE, J. et al. (2023): The Next Generation of Cotton Defoliation Sprayer. AgriEngineering.
NOWAK, A. (2021): The adoption of precision agriculture in Poland and the role of local networks. Precision Agriculture, 22, pp. 1242–1265. https://doi.org/10.1007/s11119-021-09778-2
OECD (2016): Farmer Adoption of Precision Agriculture: A 2016 Review. OECD Food, Agriculture and Fisheries Papers, No. 92. at https://doi.org/10.1787/5jm22p4jmlr5
PANDEYA, S. – GYAWALI, BR. & UPADHAYA, S. (2025): Factors Influencing Precision Agriculture Technology Adoption Among Small-Scale Farmers in Kentucky. Agriculture, 15(2), 177. https://doi.org/10.3390/agriculture15020177
SCHIMMELPFENNIG, D. (2016): Cost Savings From Precision Agriculture Technologies on US Corn Farms. Amber Waves (USDA ERS).
SHARDA, A. et al. (2011): Real- time nozzle flow uniformity when using automatic section control. Computers and Electronics in Agriculture.
SISHODIA, RP. et al. (2020): Applications of remote precision sensing agriculture: A review. Remote Sensing, 12(19), 3136. https://doi.org/10.3390/rs12193136
SUMMER, HR. et al. (2000): Chemical Application Equipment for Improved Deposition in Cotton. Journal of Cotton Science.
TASEER, M. & HAN, L. (2024): Unmanned Aerial Vehicle Sprayers in Agriculture: A Review. Agriculture, 14(1), 19. https://doi.org/10.3390/agriculture14010019
TESTA, R. – GALATI, A. – SCHIFANI, G. et al. (2025): Cost- effectiveness of conventional and precision agriculture sprayers in Southern Italian vineyards: A break-even point analysis. Precision Agriculture, 26(39). https://doi.org/10.1007/s11119-025-10233-5
TILSE, MJ. et al. (2024): Downscaling cotton yield and fiber quality for site specific decision making. Precision Agriculture.
VIRK, SS. et al. (2023): Utility of Hooded Broadcast Sprayer in Reducing Herbicide Particle Drift in Cotton. Journal of Cotton Science.
VITALE, G.S. et al. (2024): Agronomic Strategies for Sustainable Cotton Production: A Systematic Review. Agriculture.
WEI, Z. et al. (2023): Research Status, Methods and Prospects of Air Assisted Spray Technology. Agronomy.
ZHANG, L. et al. (2024a): Prediction of cotton FPAR and construction of defoliation spray prescription map. Computers and Electronics in Agriculture.
ZHANG, L. et al. (2024b): Prediction of cotton FPAR… (supplementary reference). Computers and Electronics in Agriculture.
ZHANG, N. – WANG, M. & WANG, N. (2002): Precision agriculture — a worldwide overview. Computers and Electronics in Agriculture, 36(2–3), pp. 113–132. https://doi.org/10.1016/S0168-1699(02)00096-0
