Multi-format open-source weed image dataset for real-time weed identification in precision agriculture

Weeds are considered obnoxious and a hindrance to crop yield. Due to their uneven spatial distribution pattern, a ground or aerial robot are deployed to spot spray herbicides. This herbicidal application depends entirely on the computer vision algorithms that assist with in-field weed identification...

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Detalles Bibliográficos
Autores principales: Rai, Nitin, Mahecha, Maria Villamil, Christensen, Annika, Quanbeck, Jamison, Zhang, Yu, Howatt, Kirk, Ostlie, Michael, Sun, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618417/
https://www.ncbi.nlm.nih.gov/pubmed/37920388
http://dx.doi.org/10.1016/j.dib.2023.109691

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618417/
https://www.ncbi.nlm.nih.gov/pubmed/37920388
http://dx.doi.org/10.1016/j.dib.2023.109691

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