2 papers
cs.CV2026
AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining
Vasileios Tzouras, Paraskevas Pegios, Lazaros Nalpantidis
Field-based agricultural computer vision is important for precision agriculture, yet it largely depends on expensive annotations and costly adaptation of large pretrained models. W…
cs.CV2024
From Web Data to Real Fields: Low-Cost Unsupervised Domain Adaptation for Agricultural Robots
Vasileios Tzouras, Lazaros Nalpantidis, Ronja Güldenring
In precision agriculture, vision models often struggle with new, unseen fields where crops and weeds have been influenced by external factors, resulting in compositions and appeara…