A Review of Pre-processing Techniques for Weed-Plant Detection and Classification in Precision Agriculture
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0037-0_24
Reference48 articles.
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3. Haug S, Ostermann J (2015) A crop/weed field image dataset for the evaluation of computer vision based precision agriculture tasks. In: Agapito L, Bronstein M, Rother C (eds) Computer vision—ECCV 2014 workshops. ECCV 2014. Lecture notes in computer science, vol 8928. Springer, Cham. https://doi.org/10.1007/978-3-319-16220-1_8
4. Sudars K, Jasko J, Namatevs I, Ozola L, Badaukis N (2020) Dataset of annotated food crops and weed images for robotic computer vision control. Data Brief 31:105833
5. Olsen A, Konovalov D, Philippa B, Ridd P, Wood J, Johns J, Banks W, Girgenti B, Kenny O, Whinney J et al (2019) Deepweeds: a multiclass weed species image dataset for deep learning. Sci Rep 9:2058
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