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Real-time image processing for crop/weed discrimination in wide-row crops

AutorBengochea-Guevara, José M. ; Burgos Artizzu, Xavier P. ; Ribeiro Seijas, Ángela
Palabras claveCrop/Weed discrimination
Real-time image processing
Precision agriculture
Fecha de publicación21-may-2014
EditorProducción Gráfica Multimedia
CitaciónSecond International Conference on Robotics and Associated High-Technologies and Equipment for Agriculture and Forestry (RHEA-2014): 477-486 (2014)
ResumenAccurate information about a crop is needed to apply a precision treatment to it as well as to perform other agricultural tasks. To achieve site-specific management of weeds, the first and most important step is the location and density estimation of weeds. In this context, the development of computer vision methods for real-time weed detection can be highly useful in the construction of fully automatic devices for weed control. This paper presents a visual method that discriminates between crop rows and weeds in wide-row crops, working in real time with the images acquired from a conventional camera on board a tractor and under uncontrolled lighting and movement conditions.
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