Intra-Row Weeder Design and Application By Using Image Processing and Artificial Intelligence Techniques


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Authors

  • Ahmet KARATAŞ Selçuk University
  • Ali YAŞAR Selçuk University

DOI:

https://doi.org/10.59287/icriret.1392

Keywords:

Artificial İntelligence, Computer Vision, Hoeing Machine, İmage Processing, İntra-Row Weeding

Abstract

Agriculture plays an important role in the face of growing population and food demand worldwide. However, traditional farming methods provide limited productivity and use resources inefficiently. In this context, the integration of modern technologies into agriculture has great potential to increase productivity and promote sustainable agricultural practices. With world population growth, agriculture is a critical sector that needs to become more efficient. While traditional farming methods provide limited productivity, integrating modern technologies into agriculture can result in higher crop yields and lower costs with reduced labor. One of the most important applications used to increase productivity in agriculture is hoeing. In this paper, automatic hoeing machine design using image processing and artificial intelligence will be discussed.

Author Biographies

Ahmet KARATAŞ, Selçuk University

Mechatronics Engineering/Institute of Science, Türkiye

Ali YAŞAR, Selçuk University

Mechatronics Engineering/Institute of Science, Türkiye

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Published

2023-08-29

How to Cite

KARATAŞ, A., & YAŞAR, A. (2023). Intra-Row Weeder Design and Application By Using Image Processing and Artificial Intelligence Techniques. International Conference on Recent and Innovative Results in Engineering and Technology, 148–151. https://doi.org/10.59287/icriret.1392