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This is a Quantitative Study study.

October 16, 2025Open Access

Semi-Supervised Weed Detection in Vegetable Fields: In-domain and Cross-domain Experiments

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YOLOv8-based WeedTeacher achieved the highest accuracy in in-domain weed detection experiments, improving mAP@50.
Incorporating unlabeled new-domain data led to no significant gains for any SSOD methods compared to supervised models.
The study provides a new dataset with nearly 20,000 field images to enhance weed detection research.
Research highlights ongoing challenges in leveraging cross-domain data for effective weed detection strategies.

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Experimental analysis finds YOLOv8-based weedTeacher improves detection in-domain, but struggles cross-domain.

Deng et al. (2025) studied this question.

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