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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...
Autores principales: | Yuan, Wenan, Li, Jiating, Bhatta, Madhav, Shi, Yeyin, Baenziger, P. Stephen, Ge, Yufeng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
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 |
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