A Real-Time Weed Mapping and Precision Herbicide Spraying System for Row Crops

This study developed and field tested an automated weed mapping and variable-rate herbicide spraying (VRHS) system for row crops. Weed detection was performed through a machine vision sub-system that used a custom threshold segmentation method, an improved particle swarm optimum (IPSO) algorithm, ca...

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Detalles Bibliográficos
Autores principales: Xu, Yanlei, Gao, Zongmei, Khot, Lav, Meng, Xiaotian, Zhang, Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308525/
https://www.ncbi.nlm.nih.gov/pubmed/30513952
http://dx.doi.org/10.3390/s18124245

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308525/
https://www.ncbi.nlm.nih.gov/pubmed/30513952
http://dx.doi.org/10.3390/s18124245

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