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IoT Sensor Node Data

Citation Author(s):
Waqas Afridi (Macquarie University)
Submitted by:
WAQAS AFRIDI
Last updated:
DOI:
10.21227/m66w-vh45
Data Format:
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Abstract

The data is collected from the deployed IoT sensor node at a pilot farm in Narrabri, Australia. The dataset includes information about soil characteristics such as soil moisture and soil temperature at 20-40-60 cm depth. The sensor node also provides information about environmental influencers, which are critical in constructing machine learning models to predict Evapotranspiration in diverse soil and environmental conditions.

Instructions:

The aggregated large raw data was initially cleaned, scaled, and converted to per day bases to be used in mathematical computations in R to calculate and predict Evapotranspiration (ET).