Forecast for the Adaptive Tillage System

Authors

  • Mykhailo IVANIUTA The Institute of Bioenergy Crops and Sugar Beet NAAS / 03110 Kyiv, Klinichna str. 25, Ukraine.
  • Dr, prof. Volodymyr KRAVCHUK The Institute of Bioenergy Crops and Sugar Beet NAAS / 03110 Kyiv, Klinichna str. 25, Ukraine.
  • Mykhailo RAMUS Poltava State Medical University / 36011 Poltava, Shevchenko str. 23, Ukraine.

DOI:

https://doi.org/10.55677/ijlsar/V02I07Y2023-06

Keywords:

tillage control machines, adaptive control, matrix modeling, matrix imaging, structural modeling.

Abstract

Precision tillage has great potential. The result of tillage operations can be improved depending on the optimal solution of construction working bodies and technological parameters of cultivating, which, in addition, can be adapted to the tillage technology depending on the local agro-climatic conditions.

The article presents the results of the synthesis of the system of adaptive control of soil cultivation by creating a complex technological system with modeling of the structural-matrix schemes and on-stream technological influences of working bodies of machines and external agro-climatic conditions on the agrophysical state of the soil.

The research methods are matrix methods of analysis of structural schemes of technological process control systems; system-analog modeling of tillage control systems; structural analysis and synthesis of technological changes in agrophysical indicators of soil tillage.

The main results are the structural diagram of the on-stream adaptive control system of the tillage unit for the requirements of precise agriculture; matrix diagram of the imaging and generalized system of equations of on-stream adaptive control of working bodies of tillage machines; system-analog model of the machine-tractor unit with the adaptive control system of working bodies.

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Published

2023-07-29

How to Cite

IVANIUTA, M., Dr, prof. Volodymyr KRAVCHUK, & Mykhailo RAMUS. (2023). Forecast for the Adaptive Tillage System. International Journal of Life Science and Agriculture Research, 2(7), 193–199. https://doi.org/10.55677/ijlsar/V02I07Y2023-06