Predicting spatiotemporal patterns of productivity and grazing from multispectral data using neural network analysis based on system complexity
A. J. Ashworth,
A. Avila,
H. Smith
et al.
Abstract:Remote sensing tools, along with Global Navigation Satellite System cattle collars and digital soil maps, may help elucidate spatiotemporal relationships among soils, terrain, forages, and animals. However, standard computational procedures preclude systems‐level evaluations across this continuum due to data inoperability and processing limitations. Deep learning, a subset of neural network, may elucidate efficiency of livestock production and linkages within the livestock‐grazing environment. Consequently, we… Show more
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