Precision Agriculture Research Group
Research keywords:
· discrete element method
·
· soil-tool interaction
· artificial intelligent
· genetic algorithm
· granular matter
· biosystems engineering
· inertial measurement unit
Horizon Europe keywords:
· Safe and sustainable agriculture and food systems
Introduction of the Research Group
The Precision Agriculture Research Group has 5 core members, PhD candidates. The research team's activities include: Aiding tool and tillage design and their optimization using numerical simulations and machine learning based on real-world data. Carrying out measurements in laboratory and real-world scenarios with the developed measurement system. Designing circuit and housing for measuring devices, utilizing additive manufacturing to create housing and tools. Optimization of tillage tool geometries and parameters of the tillage process. Designing and developing the system's software components from hardware-near programs to AI-based data processing.Usage of discrete element method (DEM), smooth particle hydrodynamics method (SPH) and finite element method (FEM) to create well-performing models to investigate soil tool interaction.
Watch our 3-minute introductory video:
Publications
-Wágner, Á., Szabó, B., Kovács, L., Tamás, K., & Grad-Gyenge, L. (2023). The development of a soil-movement measurement system to create more precise numerical soil models. In 1st Workshop on Intelligent Infocommunication Networks, Systems and Services, https://repositorium.omikk.bme.hu/handle/10890/40716
-Tamas, K., & Bernon, L. (2021). Role of particle shape and plant roots in the discrete element model of soil–sweep interaction. Biosystems Engineering, https://www.sciencedirect.com/science/article/pii/S1537511021002208
-Tamás, K., Jóri, IJ, & Mouazen, AM (2013). Modeling soil–sweep interaction with discrete element method. Soil and Tillage Research.
-Tamás, K. (2018). The role of bond and damping in the discrete element model of soil-sweep interaction. Biosystems engineering, 169, 57-70. https://www.sciencedirect.com/science/article/pii/S1537511017307638?casa_token=Aw9Y9ZDVI2wAAAAA:44Sohqo6-ZnhHh_GL6ONNjM8a5gaTsmFotke80UWyuEe46Rykn-zqJa2_fVjtXqDWN_xij3xTg
-Horváth, D., Poós, T., & Tamás, K. (2019). Modeling the movement of hulled millet in agitated drum dryer with discrete element method. Computers and Electronics in Agriculture,
https://www.sciencedirect.com/science/article/pii/S0168169918316429?casa_token=stWVvEdp9nIAAAAA:3HvNwHTDNgKig3FEMC0yiFpxWb7cFaUGOSDgn1qpVuGm6kj4CzoX2560ExFJvKQDtGTQNJpmLQ
Journals
Biosystems EngineeringProjects
- Innovation in position estimation using IMU sensor and artificial intelligence.
- Self-developed laboratory environment for soil-tool interaction.
- Laboratory soil bin.