Vision based crop row navigation under varying field conditions in arable fields
Published in Computers and Electronics in Agriculture, 2024
This paper introduces a dataset and navigation pipeline for crop-row following under diverse real-world field conditions, including an end-of-row detector for autonomous field operation.
Recommended citation: de Silva, R., Cielniak, G., & Gao, J. (2024). "Vision based crop row navigation under varying field conditions in arable fields." Computers and Electronics in Agriculture, 217, 108581.
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