1. Aboukarima, A. M. (2013). Evaluation of using a combination of simulated and experimental data to predict draft force of a moldboard plow. Misr Journal of Agricultural Engineering, 30(1), 1–28. https://doi.org/10.21608/MJAE.2013.102082
2. Agrawal, K. N., & Thomas, E. V. (2003). Relationship of specific draft with soil and operating parameters for M.B. plough. Agricultural Mechanization in Asia, Africa and Latin America, 34(2), 9–12. https://eurekamag.com/research/003/913/003913229.php
3. Akbarnia, A., Mohammadi, A., Farhani, F., & Alimardani, R. (2017). Simulation of draft force of winged share tillage tool using artificial neural network mode. Agricultural Engineering International: CIGR Journal, 16, 57–65.
4. Al-Hamed, S. A., Wahby, M. F., Al-Saqer, S. M., Aboukarima, A. M., & Sayedahmed, A. A. (2013). Artificial neural network model for predicting draft and energy requirements of disk plow. Journal of Animal & Plant Sciences, 23(6), 1714–1724. https://api.semanticscholar.org/CorpusID:73660026
5. Al-Jalil, H. F., Khdair, A., & Mukahal, W. (2001). Design and performance of an adjustable three-point hitch dynamometer. Soil and Tillage Research, 62, 153–156. https://doi.org/10.1016/S0167-1987(01)00219-7