UAV-Based LiDAR and Multispectral Imaging for Estimating Dry Bean Plant Height, Lodging and Seed Yield

Dry bean, the fourth-largest pulse crop in Canada is increasingly impacted by climate variability, needing efficient methods to support cultivar development. This study investigates the potential of unmanned aerial vehicle (UAV)-based Light Detection and Ranging (LiDAR) and multispectral imaging (MS...

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מידע ביבליוגרפי

Principais autores:	Shubham Subrot Panigrahi, Keshav D. Singh, Parthiba Balasubramanian, Hongquan Wang, Manoj Natarajan, Prabahar Ravichandran
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2025-06-01
סדרה:	Sensors
נושאים:	dry bean LiDAR multispectral canopy height crop lodging seed yield
גישה מקוונת:	https://www.mdpi.com/1424-8220/25/11/3535
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!