A Virtual Soil Moisture Sensor for Smart Farming Using Deep Learning
Author:
Affiliation:
1. Department of Information Engineering, University of Florence, Florence, Italy
2. Department of Industrial Engineering, University of Salerno, Fisciano, Italy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09849699.pdf?arnumber=9849699
Reference43 articles.
1. Review of Input Variable Selection Methods for Artificial Neural Networks
2. Design optimisation of a wireless sensor node using a temperature-based test plan
3. Assessment of a Spatiotemporal Deep Learning Approach for Soil Moisture Prediction and Filling the Gaps in Between Soil Moisture Observations
4. Soil Moisture Prediction Using Machine Learning
5. Machine Learning for Predicting Field Soil Moisture Using Soil, Crop, and Nearby Weather Station Data in the Red River Valley of the North
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