Res. Agr. Eng., 2023, 69(4):179-188 | DOI: 10.17221/5/2023-RAE

Operating performance of manual, semi-automatic, and automatic tractor guidance systems for precision farmingOriginal Paper

Paola D'Antonio ORCID...1, Andi Mehmeti ORCID...1,2, Francesco Toscano ORCID...1, Costanza Fiorentino ORCID...1
1 School of Agricultural, Forestry and Environmental Sciences, University of Basilicata, Italy
2 Mediterranean Agronomic Institute of Bari, Valenzano, Italy

Precision agriculture is increasingly relying on tractor auto-steer systems to boost productivity and optimize crop inputs. Identifying field variations and performance, on the other hand, is necessary for giving site-specific recommendations. This study reports the field operating performance indicators of manual (MG), semi-automatic (SG), and automatic (AG) tractor guidance for weed control in wheat production in Southern Italy. Performance indicators include effective worked area, overall working time, effective field capacity, field efficiency, fuel consumption, and product usage. The SG tractor guidance working times were similar to the MG, but with significant savings in the herbicide spray solution and work quality. In terms of all parameters examined, the AG outperformed the SG and MG. The AG was 54% faster than the MG, resulting in an increased area worked and effective field capacity of 5 and 46%, respectively. The total time (effective time plus non-productive time) was reduced by 28%, while overlapped areas by 88.9%. Herbicide and fuel input was reduced by 30 and 11.5%, respectively. A streamlined environmental analysis indicated that AG could reduce the energy and carbon intensity of the one-time weed control process by 25 and 27% for each hectare. Our results confirm that auto guidance provides numerous benefits (e.g., machining uniformity, increased work quality, reduced resource use, and reduced environmental burdens), supporting the larger goal of agricultural production sustainability.

Keywords: automated guidance system; smart agriculture; self-steering tractors; variable rate technology

Received: January 10, 2023; Revised: April 21, 2023; Accepted: April 29, 2023; Published: November 30, 2023  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
D'Antonio P, Mehmeti A, Toscano F, Fiorentino C. Operating performance of manual, semi-automatic, and automatic tractor guidance systems for precision farming. Res. Agr. Eng. 2023;69(4):179-188. doi: 10.17221/5/2023-RAE.
Download citation

References

  1. Alonso-Garcia S., Gomez-Gil J., Arribas J.I. (2011): Evaluation of the use of low-cost GPS receivers in the autonomous guidance of agricultural tractors. Spanish Journal of Agricultural Research, 9: 377-388. Go to original source...
  2. Antier C., Kudsk P., Reboud X., Ulber L., Baret P.V., Messéan A. (2020): Glyphosate use in the European agricultural sector and a framework for its further monitoring. Sustainability, 12: 5682. Go to original source...
  3. Ashworth A.J., Putman W.B., Kharel T., Thoma G., Shew A., Popp M., Owens P. (2022): Environmental Impact assessment of tractor guidance systems based on pasture management scenarios. Journal of the ASABE, 65: 645-653. Go to original source...
  4. Calicioglu O., Flammini A., Bracco S., Bellù L., Sims R. (2019): The Future challenges of food and agriculture: An integrated analysis of trends and solutions. Sustainability, 11: 222. Go to original source...
  5. D'Antonio P., D'Antonio C., Doddato V., Mangano M. (2015): Satellite Technologies to support the sustainability of agricultural production. In: Antonella V. (ed.): The Sustainability of Agro-Food and Natural Resource Systems in the Mediterranean Basin, Springer Open: 373-384. Go to original source...
  6. Erickson B., Fausti S.W. (2021): The role of precision agriculture in food security. Agronomy Journal, 113: 4455-4462. Go to original source...
  7. FAO (2017): The future of food and agriculture: Trends and challenges. Rome. Avalable at: https://doi.org/ISBN 978-92-5-109551-5
  8. Fiorentino C., Donvito A.R., D'Antonio P., Lopinto S. (2020): Experimental Methodology for prescription maps of variable rate nitrogenous fertilizers on cereal crops. In: Innovative Biosystems Engineering for Sustainable Agriculture, Forestry and Food Production: International Mid-Term Conference 2019 of the Italian Association of Agricultural Engineering (AIIA). Sep 12-13; Matera: 863-872. Go to original source...
  9. GreenDelta (2022): openLCA 1.11. Available at: https://www.openlca.org/download/
  10. Guo W. (2018): Application of Geographic information system and automated guidance system in optimizing contour and terrace farming. Agriculture, 8: 142. Go to original source...
  11. Han X.Z., Kim H.J., Kim J.Y., Yi S.Y., Moon H.C., Kim J.H., Kim Y.J. (2015): Path-tracking simulation and field tests for an auto-guidance tillage tractor for a paddy field. Computers and Electronics in Agriculture, 112: 161-171. Go to original source...
  12. Han J., Park C., Jang Y.Y., Gu J.D., Kim C.Y. (2021): Performance Evaluation of an autonomously driven agricultural vehicle in an orchard environment. Sensors, 22: 114. Go to original source... Go to PubMed...
  13. Heiß A., Paraforos D.S., Griepentrog H.W. (2019): Determination of cultivated area, field boundary and overlapping for a plowing operation using ISO 11783 communication. Agriculture, 9: 38. Go to original source...
  14. Holpp M., Kroulík M., Kvíz Z., Anken T., Sauter M., Hensel O. (2013): Large-scale field evaluation of driving performance and ergonomic effects of satellite-based guidance systems. Biosystems Engineering, 116: 190-197. Go to original source...
  15. Huijbregts M.A., Steinmann Z.J., Elshout P.M., Stam G., Verones F., Vieira M., Zijp M., Hollander A., Van Zelm R. (2017): ReCiPe2016: A harmonised life cycle impact assessment method at midpoint and endpoint level. The International Journal of Life Cycle Assessment, 22: 138-147. Go to original source...
  16. Kharel T.P., Owens P.R., Ashworth A.J. (2020): Tractor path overlap is influenced by field shape and terrain attributes. Agricultural & Environmental Letters, 5: e20027. Go to original source...
  17. Lipiński A.J., Markowski P., Lipiński S., Pyra P. (2016): Precision of tractor operations with soil cultivation implements using manual and automatic steering modes. Biosystems Engineering, 145: 22-28. Go to original source...
  18. Marucci A., Colantoni A., Zambon I., Egidi G. (2017): Precision farming in hilly areas: The use of network RTK in GNSS technology. Agriculture, 7: 60. Go to original source...
  19. Nemecek T., Kägi T. Blaser S. (2007): Life Cycle Inventories of Agricultural Production Systems. Final Report Ecoinvent v2.0, 15: 1-360.
  20. Oksanen T. (2015): Accuracy and performance experiences of four wheel steered autonomous agricultural tractor in sowing operation. In: Field and Service Robotics: Results of the 9th International Conference, Dec 9-11, Brisbane: 425-438. Go to original source...
  21. Radicioni F., Stoppini A., Brigante R., Brozzi A., Tosi G. (2020): GNSS network RTK for automatic guidance in agriculture: Testing and performance evaluation. In: Computational Science and Its Applications - ICCSA 2020: 20th International Conference, July 1-4:19-35. Go to original source...
  22. Sartori L., Pezzuolo A., Gasparini F., Marinello F. (2014): Single vs multiple vineyard operations with Real Time Kinematic GNSS assisted steering. In: Proceedings of the International Conference of Agricultural Engineering-AgEng 2014. The European Society of Agricultural Engineers. July 6-10, Zurich 1-6.
  23. Scarfone A., Picchio R., del Giudice A., Latterini F., Mattei P., Santangelo E., Assirelli A. (2021): Semi-automatic guidance vs. manual guidance in agriculture: A comparison of work performance in wheat sowing. Electronics, 10: 825. Go to original source...
  24. Singh K., Prakash A., Singh M., Sharda S., Gupta H. (2021): Relative performance of satellite based navigation systems for improving tractor productivity. Agricultural Research Journal, 58: 874-880. Go to original source...
  25. Topcueri M., Keskin M. (2019): Effectiveness of GNSS-based tractor auto steering systems in crop spraying. Mustafa Kemal University Journal of Agricultural Sciences, Special Issue, 24: 78-90.
  26. Ünal I., Topakci M. (2015): Design of a remote-controlled and GPS-guided autonomous robot for precision farming. International Journal of Advanced Robotic Systems, 12: 194. Go to original source...
  27. Zhou K., Bochtis D., Jensen A.L., Kateris D., Sørensen C.G. (2020): Introduction of a new index of field operations efficiency. Applied Sciences, 10: 329. Go to original source...

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.