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However, the investigation of Landmann [8] did not consider species-specific flowering colors in the linear unmixing-based mapping approach.

Color of flowers could be an important measure of bees foraging preference [13,14].

For instance, random forest, support vector machines and neural network were employed in numerous hyperspectral studies to discriminate vegetation communities [15], genera [16], and plant species (e.g., [17,18,19]).

However, the high dimensionality in hyperspectral data is often problematic when the number of field samples is smaller than the number of spectral features [20].

However, data sets on the spatio-temporal distribution of flowering plants are largely not available for phenological and ecological response studies.

Furthermore, the relationship between flowering response in the landscape and hive production is largely unknown [5].

Specifically, attention has been paid to factors that threaten honeybee health such as parasites, pathogens, abiotic stress factors, and land use and land cover (LULC) changes that often lead to a decrease in flowering plants within the landscape matrix.

Essentially, the quality and quantity of honey and honey products is reliant on the availability of flowering melliferous plants (as pollen and nectar sources) in the landscape [3].

I’d totally recommend these if someone is looking for premium earphones for portable use with amazing pair of in ear headphones are particularly lightweight, be careful though as you are definitely going to have a hard time keeping them in your ears, the build quality could definitely be improved, still the metal Soundtunnel represents a very tight, hollow bass, and that necessarily is not a bad thing, the sound stage is wide for a earphone.Though the study of Chen [8] used spectral linear unmixing and change vector analysis on AISA Eagle hyperspectral data for mapping the abundance, distribution, and floral cycle of melliferous plants.A short-term floral cycle map was successfully produced with an overall accuracy between 80.7% and 83%.AISA Eagle imagery was captured at the early flowering period (January 2014) and at the peak flowering season (February 2013).Data on white and yellow flowering trees as well as LULC classes in the study area were collected and used as ground-truth points.

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