Evaluating Cross-Applicability of Weed Detection Models Across Different Crops in Similar Production Environments

Convolutional neural networks (CNNs) have revolutionized the weed detection process with tremendous improvements in precision and accuracy. However, training these models is time-consuming and computationally demanding; thus, training weed detection models for every crop-weed environment may not be...

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Detalles Bibliográficos
Autores principales: Sapkota, Bishwa B., Hu, Chengsong, Bagavathiannan, Muthukumar V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096552/
https://www.ncbi.nlm.nih.gov/pubmed/35574075
http://dx.doi.org/10.3389/fpls.2022.837726

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096552/
https://www.ncbi.nlm.nih.gov/pubmed/35574075
http://dx.doi.org/10.3389/fpls.2022.837726

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