Weed Detection and Classification with Computer Vision Using a Limited Image Dataset
László Moldvai,
Péter Ákos Mesterházi,
Gergely Teschner
et al.
Abstract:In agriculture, as precision farming increasingly employs robots to monitor crops, the use of weeding and harvesting robots is expanding the need for computer vision. Currently, most researchers and companies address these computer vision tasks with CNN-based deep learning. This technology requires large datasets of plant and weed images labeled by experts, as well as substantial computational resources. However, traditional feature-based approaches to computer vision can extract meaningful parameters and achi… Show more
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