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Mapping Walnut Water Stress with High Resolution Multispectral UAV Imagery and Machine Learning
Significant variables for SWP estimation included wind speed and vegetation indices such as NDVI, NDRE, and PSRI. A reduced RF model excluding red-edge indices of NDRE and PSRI, demonstrated slightly reduced accuracy ($R^2$ = 0. 54).
EVE: Environmental Adaptive Neural Network Models for Low-power Energy Harvesting System
Energy harvesting (EH) technology that harvests energy from ambient environment is a promising alternative to batteries for powering those devices due to the low maintenance cost and wide availability of the energy sources.
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