Predicting Dry Pea Maturity Using Machine Learning and Advanced Sensor Fusion with Unmanned Aerial Systems (UASs)

Maturity is an important trait in dry pea breeding programs, but the conventional process predominately used to measure this trait can be time-consuming, labor-intensive, and prone to errors. Therefore, a more efficient and accurate approach would be desirable to support dry pea breeding programs. T...

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Hlavní autoři:	Aliasghar Bazrafkan, Harry Navasca, Jeong-Hwa Kim, Mario Morales, Josephine Princy Johnson, Nadia Delavarpour, Nadeem Fareed, Nonoy Bandillo, Paulo Flores
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-05-01
Edice:	Remote Sensing
Témata:	peas phenotyping machine learning LIDAR high-throughput plant phenotyping multispectral indices
On-line přístup:	https://www.mdpi.com/2072-4292/15/11/2758
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