IoT Sensor Node Data

Citation Author(s):
Waqas
Afridi
Macquarie University
Submitted by:
WAQAS AFRIDI
Last updated:
Wed, 11/20/2024 - 19:33
DOI:
10.21227/m66w-vh45
Data Format:
*.csv; *.xlsx
License:
Creative Commons Attribution
1 Views
Categories:
Agriculture
IoT
Sensors
Climate Change/Environmental
Keywords:
IoT, sensors, Machine Learning, Evapotranspiration, agriculture, Soil, Environment, Penman-Monteith, support vector machine
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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).

 

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