Wheat Height Estimation Using LiDAR in Comparison to Ultrasonic Sensor and UAS

As one of the key crop traits, plant height is traditionally evaluated manually, which can be slow, laborious and prone to error. Rapid development of remote and proximal sensing technologies in recent years allows plant height to be estimated in more objective and efficient fashions, while research...

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Detalles Bibliográficos
Autores principales: Yuan, Wenan, Li, Jiating, Bhatta, Madhav, Shi, Yeyin, Baenziger, P. Stephen, Ge, Yufeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263480/
https://www.ncbi.nlm.nih.gov/pubmed/30400154
http://dx.doi.org/10.3390/s18113731

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263480/
https://www.ncbi.nlm.nih.gov/pubmed/30400154
http://dx.doi.org/10.3390/s18113731

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