A Soil Carbon Content Quantification Method Using A Miniature Millimeter Wave Radar Sensor and Machine Learning

Author:

An Di1,Chen YangQuan1

Affiliation:

1. University of California,Electrical Engineering & Computer Science,Merced

Publisher

IEEE

Reference15 articles.

1. The Impact of Cell Phone, Laptop Computer, and Microwave Oven Usage on Male Fertility

2. Material classification using 60-GHz radar and deep convolutional neural network;Proceedings of 2019 International Radar Conference (RADAR),0

3. A Low-cost Soil Moisture Monitoring Method by Using Walabot and Machine Learning Algorithms

4. API design for machine learning software: experiences from the scikit-learn project;buitinck;Proceedings of ECML PKDD Workshop Languages for Data Mining and Machine Learning,0

5. One-Shot Learning for Robust Material Classification Using Millimeter-Wave Radar System

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1. Explainable Artificial Intelligence (XAI) Empowered Digital Twin on Soil Carbon Emission Management Using Proximal Sensing;2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI);2023-11-07

2. A Proximal Point Sensing System for Mapping Soil Moisture Using A Miniaturized Spectrometer;2023 11th International Conference on Control, Mechatronics and Automation (ICCMA);2023-11-01

3. Long Endurance Site-Specific Management of Biochar Applications Using Unmanned Aircraft Vehicle and Unmanned Ground Vehicle;IFAC-PapersOnLine;2023

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