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Background Aboveground biomass (AGB) is a widely used agronomic parameter for characterizing crop growth status and predicting grain yield. The rapid and accurate estimation of AGB in a non-destructive way is useful for making informed decisions on precision crop management. Previous studies have investigated vegetation indices (VIs) and canopy height metrics derived from Unmanned Aerial Vehicle (UAV)...
UAV based hyperspectral imaging is a promising approach to monitor crop growth status rapidly and non-destructively. This paper described a novel instrument to get hyperspectral information from lightweight unmanned aerial vehicles for crop monitoring. The objectives of this study were to assess the data quality of one hyperspectral frame camera and evaluate the ability in rice nitrogen status monitoring...
Unmanned Aerial Vehicles (UAV)-based remote sensing offers great possibilities to acquire in a fast and convenient way field data for precision agriculture applications. The UAV-based multispectral images with five wavebands (490, 550, 671, 700, 800 nm) were obtained at five growth stages from consecutive two years' wheat field experiments with different combinations in variety, N application rate...
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