Toward Autonomous Mobile Robot Navigation in Early-Stage Crop Growth

Luis Emmi, Jesus Herrera-Diaz, Pablo Gonzalez-de-Santos

2022

Abstract

This paper presents a general procedure for enabling autonomous row following in crops during early-stage growth, without relying on absolute localization systems. A model based on deep learning techniques (object detection for wide-row crops and segmentation for narrow-row crops) was applied to accurately detect both types of crops. Tests were performed using a manually operated mobile platform equipped with an RGB and a time-of-flight (ToF) cameras. Data were acquired during different time periods and weather conditions, in maize and wheat fields. The results showed the success on crop detection and enables the future development of a fully autonomous navigation system in cultivated fields during early stage of crop growth.

Paper Citation

in Harvard Style

Emmi L., Herrera-Diaz J. and Gonzalez-de-Santos P. (2022). Toward Autonomous Mobile Robot Navigation in Early-Stage Crop Growth. In Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-585-2, pages 411-418. DOI: 10.5220/0011265600003271

in Bibtex Style

@conference{icinco22,
author={Luis Emmi and Jesus Herrera-Diaz and Pablo Gonzalez-de-Santos},
title={Toward Autonomous Mobile Robot Navigation in Early-Stage Crop Growth},
booktitle={Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2022},
pages={411-418},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011265600003271},
isbn={978-989-758-585-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Toward Autonomous Mobile Robot Navigation in Early-Stage Crop Growth
SN - 978-989-758-585-2
AU - Emmi L.
AU - Herrera-Diaz J.
AU - Gonzalez-de-Santos P.
PY - 2022
SP - 411
EP - 418
DO - 10.5220/0011265600003271