This paper describes the image processing for an autonomous field inspection vehicle that uses a webcam for the navigation between two rows of agricultural crop. The relative vehicle position is calculated by segmentation and classification of the images and then by extracting geometrical lines corresponding to the crop rows. An autonomous vehicle was built and tested successfully in an agricultural environment.
Palabras Clave: Autonomous guidance; real-time image processing; precision agriculture; weed mapping
Referencia DOI: 10.1504/IJISTA.2010.030222
Publicado en papel: Enero 2010.
R. Gottschalk, X.P. Burgos-Artizzu, A. Ribeiro, G. Pajares Miguelsanz, A. Sánchez. Real-time image processing for the guidance of a small agricultural field inspection vehicle. International Journal of Intelligent Systems Technologies and Applications (IJISTA). Vol. 8, nº. 1-4, pp. 434 - 443, Enero 2010.