Lightweight YOLOv8-Based Model for Weed Detection in Dryland Spring Wheat Fields
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DOI: 10.3390/su17136150
Abstract: Efficient weed detection in dryland spring wheat fields is crucial for sustainable agriculture, as it enables targeted interventions that reduce herbicide use, minimize environmental impact, and optimize resource allocation in water-limited farming systems. This paper… read more here.
Keywords: detection; dryland; dryland spring; weed detection ... See more keywords