with the collaboration of Iranian Society of Mechanical Engineers (ISME)

Integrated Analytical Modelling and Experimental Validation of a Low-Cost Modular Agricultural Machine for Smallholder Mechanisation

Document Type : Research Article- En

Authors

1 Department of Mechanical Engineering, PES’s Modern College of Engineering, Savitribai Phule Pune University, Pune, Maharashtra, India

2 Department of Mechanical Engineering, Army Institute of Technology, Savitribai Phule Pune University, Pune, Maharashtra, India

3 Department of Mechanical Engineering, Marathwada Mitra Mandal's College of Engineering, Savitribai Phule Pune University, Pune, Maharashtra, India

4 Centre of Excellence for Additive Manufacturing, Sathyabama Institute of Science and Technology, Chennai, India

Abstract
Mechanisation of smallholder farming faces significant challenges, including high machinery costs, inefficient energy utilisation, and the lack of predictive design methodologies for multifunctional agricultural equipment. This study presents a low-cost modular multifunctional agricultural machine for smallholder applications, integrating soil-tool interaction modelling, nonlinear traction-slip analysis, coupled draft-power-torque relationships, structural stress evaluation, and lifecycle economic assessment within a unified analytical framework. Experimental validation conducted under three representative soil cohesion conditions (n = 36) demonstrated good agreement between analytical predictions and measured performance, with deviations of 8.7%, 9.2%, and 7.5% for draft force, torque, and structural stress, respectively. The proposed system exhibited energy consumption of 4.8–7.9 kWh ha-1, achieved a 22–26% reduction in operating costs compared with commercially available petrol-operated smallholder tillage units of comparable working width and field capacity, and yielded an estimated payback period of 1.8–2.3 years. The incorporation of traction analysis accounting for wheel slip improved the prediction of energy requirements while maintaining seed spacing uniformity above 87%. Soil cohesion, penetration depth, and slip ratio were identified as the dominant parameters influencing power demand and structural loading. The proposed framework demonstrated improved energy efficiency, operational stability, and economic feasibility under the investigated operating conditions and shows potential for broader smallholder mechanisation applications.

Keywords

Subjects

Authors retain the copyright. This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0)

  1. Adams, B., & Darr, M. (2022). Validation principles of agricultural machine multibody dynamics models. Journal of the ASABE, 65(4), 801-814. https://doi.org/10.13031/ja.15045
  2. Arunadevi, M., Patil, C., Kapadani, K. R., Chapke, Y., Sridevi, G., Kumar, R. V., ... Kawade, M. M. (2025). Optimization Process to Develop Tungsten Carbide Reinforced with Aluminium MMCs Using Surface Plots and ANN. Journal of the Institution of Engineers (India): Series D, 106(2), 989-997. https://doi.org/10.1007/s40033-024-00693-w
  3. Baek, S. Y., Lee, D., Siddique, M. A. A., Kim, H., Sim, T., & Kim, Y. J. (2026). Machine learning–based real-time axle torque prediction model for electric tractors using field-measured data. Agriculture, 16(7), 780. https://doi.org/10.3390/agriculture16070780
  4. Balafoutis, A. T., Evert, F. K. V., & Fountas, S. (2020). Smart farming technology trends: Economic and environmental effects, labour impact, and adoption readiness. Agronomy, 10(5), 743. https://doi.org/10.3390/agronomy10050743
  5. Battiato, A., & Diserens, E. (2017). Tractor traction performance simulation on differently textured soils and validation: A basic study to make traction and energy requirements accessible to the practice. Soil and Tillage Research, 166, 18-32. https://doi.org/10.1016/j.still.2016.09.005
  6. Benke, M. R., Kapadani, K. R., Gawande, J., Chikkangoudar, R. N., Navale, V. R., & Khatode, A. L. (2025). A Review on Advancements in the 3D Printing of Auxetic Mechanical Metamaterials. Journal of the Institution of Engineers (India): Series D. Advance online publication. https://doi.org/10.1007/s40033-025-00875-0
  7. Budynas, R. G., & Nisbett, J. K. (2019). Shigley's mechanical engineering design (11th ed.). New York, NY: McGraw-Hill Education.
  8. Burlaka, S. (2025). Optimization of agricultural equipment design processes. Engineering Energy Transport AIC, 76. https://doi.org/10.37128/2520-6168-2025-4-9
  9. Burman, R. R., Saini, S., & Padhan, S. R. (2025). Farm Mechanisation for smallholder farmers in India: Prospects and challenges. Agricultural Engineering Today, 49(1). https://doi.org/10.52151/aet2025491.1808
  10. Daum, T., & Birner, R. (2020). Agricultural Mechanisation in Africa: Myths, realities and an emerging research agenda. Global Food Security, 26, 100393. https://doi.org/10.1016/j.gfs.2020.100393
  11. Dhillon, R., & Moncur, Q. (2023). Small-scale farming: A review of challenges and potential opportunities offered by technological advancements. Sustainability, 15(21), 15478. https://doi.org/10.3390/su152115478
  12. Golanbari, B., Mardani, A., Hosainpour, A., & Taghavifar, H. (2025). Predicting terrain deformation patterns in off-road vehicle–soil interactions using TRR algorithm. Journal of Terramechanics, 117, 101021. https://doi.org/10.1016/j.jterra.2024.101021
  13. He, C., Guo, Y., Guo, X., & Sang, H. (2023). A mathematical model for predicting the draft force of shank-type tillage tine in a compacted sandy loam. Soil and Tillage Research, 228, 105642. https://doi.org/10.1016/j.still.2023.105642
  14. Héder, M. (2017). From NASA to EU: The evolution of the TRL scale in public sector innovation. The Innovation Journal: The Public Sector Innovation Journal, 22(2), Article 3. Retrieved from https://innovation.cc/wp-content/uploads/2017_22_2_3_heder_nasa-to-eu-trl-scale.pdf
  15. Holman, J. P. (2012). xperimental methods for engineers (8th ed.). Boston, MA: McGraw-Hill.
  16. Jensen, T. A., Antille, D. L., & Tullberg, J. N. (2024). Improving on-farm energy use efficiency by optimizing machinery operations and management: A review. Agricultural Research, 14(1), 15-33. https://doi.org/10.1007/s40003-024-00824-5
  17. Kapadani, K. R., & Navale, S. J. (2014). Investigation of performance of SI engine with fuels, gasoline, natural gas and H-CNG5 gas. International Journal of Research in Engineering and Technology, 3(4), 351-359. https://doi.org/10.15623/IJRET.2014.0304063
  18. Kapadani, K. R., Surana, U., Tayade, S., Dhabe, A., & Sonawane, Y. (2020). Design and manufacturing of screw briquetting machine for compaction of biomass. International Research Journal of Engineering and Technology (IRJET), 7(9), 1136-1140.
  19. Kapadani, K. R., Nithyananda, B. S., Sollapur, S. B., Rajesh, K., Dharme, A. M., Hemant, K., ... Bhowmik, A. (2026). Sustainable Optimization of Emissions and Performance in Hydrogen Port Injection Diesel Engines Through Port Timing and Injection Duration Modulation. Energy Science & Engineering, 14, 1725-1748. https://doi.org/10.1002/ese3.70438
  20. Lajunen, A. (2022). Simulation of energy efficiency and performance of electrified powertrains in agricultural tractors. In 2022 IEEE Vehicle Power and Propulsion Conference (VPPC) (pp. 1–6). https://doi.org/10.1109/VPPC55846.2022.10003394
  21. Liu, W., Yang, R., Li, L., Zhao, C., & Li, G. (2024). Energy and environmental evaluation and comparison of a diesel-electric hybrid tractor, a conventional tractor, and a hillside mini-tiller using the life cycle assessment method. Journal of Cleaner Production, 469, 143232. https://doi.org/10.1016/j.jclepro.2024.143232
  22. Lv, Y., Zhang, S., Li, H., & Wang, S. (2025). Coupling analysis of rural revitalization and talent development in disadvantaged counties in China. Finance Research Letters, 82, 107566. https://doi.org/10.1016/j.frl.2025.107566
  23. Ma, W., Rahut, D. B., & Sonobe, T. (Eds.). (2026). Transforming Smallholder Agriculture through Mechanisation in Asia: Volume 1: Pathways and Policies. Asian Development Bank Institute. https://doi.org/10.56506/LDWC9495
  24. Mao, Y., Wu, Y., Yan, X., Liu, M., & Xu, L. (2022). Simulation and experimental research of electric tractor drive system based on Modelica. PLoS ONE, 17(11), e0276231. https://doi.org/10.1371/journal.pone.0276231
  25. Montgomery, D. C. (2017). Design and analysis of experiments (9th ed.). Hoboken, NJ: John Wiley & Sons.
  26. Rajamanickam, A. K., Sanjay, M., Swetha, S., & Ramprasath, R. (2021). Development of multipurpose agricultural machine. Materials Today: Proceedings, 45(7), 4885-4889. https://doi.org/10.1016/j.matpr.2020.11.094
  27. Rayarao, S. R. (2025). ANOVA models: A comprehensive review of analysis of variance in statistical analysis and experimental design [Preprint]. Authorea. https://doi.org/10.22541/au.175192372.29532537/v1
  28. Sarkar, A. (2020). Agricultural Mechanisation in India: A Study on the Ownership and Investment in Farm Machinery by Cultivator Households across Agro-ecological Regions. Millennial Asia, 11(2), 160-186. https://doi.org/10.1177/0976399620925440
  29. Shaheb, M. R., Venkatesh, R., & Shearer, S. A. (2021). A review on the effect of soil compaction and its management for sustainable crop production. Journal of Biosystems Engineering, 46, 417-439. https://doi.org/10.1007/s42853-021-00117-7
  30. Sims, B., & Kienzle, J. (2017). Sustainable agricultural Mechanisation for smallholders. Agriculture, 7(6), 50. https://doi.org/10.3390/agriculture7060050
  31. Szabo, A., Doba, D. K., Aradi, S., & Kiss, P. (2024). Model development for off-road traction control. Agriculture, 14(3), 499. https://doi.org/10.3390/agriculture14030499
  32. Taylor, J. R. (1997 An introduction to error analysis: The study of uncertainties in physical measurements (2nd ed.). Sausalito, CA: University Science Books.
  33. Thedy, J., Liao, K. W., & Wibowo, M. A. (2026). A smart multi-objective optimization framework for automated greenhouse structural design. Smart Agricultural Technology, 14, 102096. https://doi.org/10.1016/j.atech.2026.102096
  34. Thakur, N., & Jagadale, M. (2018). Development and performance evaluation of a low-cost multipurpose tool carrier with matching tillage tools. International Journal of Current Microbiology and Applied Sciences, 7(9), 2151-2159. https://doi.org/10.20546/ijcmas.2018.709.264
  35. Upadhyaya, S. K., Andrade-Sanchez, P., Sakai, K., Chancellor, W. J., & Godwin, R. J. (2009). Tillage. In: Advances in Soil Dynamics, Vol. 3, pp. 273-359. ASABE. https://doi.org/10.13031/2013.26876
  36. Uwaezuoke, C. T., & Nwulu, N. I. (2026). Hybrid renewable energy for agriculture. Energy Nexus, 21, 100679. https://doi.org/10.1016/j.nexus.2026.100679
  37. Van Campenhout, B., Nabwire, L., Minten, B., & Ariong, R. M. (2020). Institutional and technological innovations to foster agro-industrialization in Uganda: Insights from the dairy value chain (IFPRI Policy Note). Washington, DC: International Food Policy Research Institute. https://doi.org/10.2499/p15738coll2.133682
  38. Van Loon, J., Woltering, L., Krupnik, T. J., Baudron, F., Boa, M., & Govaerts, B. (2020). Scaling agricultural Mechanisation services in smallholder farming systems. Agricultural Systems, 180, 102792. https://doi.org/10.1016/j.agsy.2020.102792
  39. Wong, J. Y. (2024). Terramechanics and off-road vehicle engineering: Terrain behaviour and off-road mobility (3rd ed.). Oxford, UK: Elsevier.
  40. Yu, Q., He, X., Liu, L., Tan, Y., Jiang, Z., Pan, X., ... Chen, H. (2025). A review on the powertrains and energy management strategies of electric tractors. The Innovation Energy, 2(1), 100064. https://doi.org/10.59717/j.xinn-energy.2024.100064
  41. Zienkiewicz, O. C., Taylor, R. L., & Zhu, J. Z. (2013). The finite element method: Its basis and fundamentals (7th ed.). Oxford, UK: Butterworth-Heinemann. https://doi.org/10.1016/C2009-0-24909-9
Send comment about this article
Enter Name.
Enter a valid email address.
Enter a vaid affiliation.
Enter comments (At leaset 10 words)
CAPTCHA Image
Enter Security Code Correctly.

Articles in Press, Accepted Manuscript
Available Online from 23 June 2026

  • Receive Date 13 May 2026
  • Revise Date 01 June 2026
  • Accept Date 07 June 2026
  • First Publish Date 23 June 2026