Dr. Dionisio Andújar recently presented the latest results of the SWEET project (Sustainable Weed Management by Agroecological and Technical Approaches) at the Euroleague for Life Sciences Study Group on Robotic Weeding (10 – 14 June 2024 – University of Hohenheim, UHOH). The Workshop was organized by Dr. Gerhards, Dr. Petenaitos, and Dr. Andújar. This presentation…

Creating a comprehensive weed image dataset for tomato fields is essential for training deep learning algorithms, such as Convolutional Neural Networks (CNNs). These CNN models are particularly effective when trained on RGB images of various weed species. In our study, we focused on both monocotyledonous (Cyperus rotundus L., Echinochloa crus galli L., Setaria verticillata L.)…