Soil Nitrogen Forecasting From Environmental Variables Provided By Multisensor Remote Sensing Images
Author:
Affiliation:
1. Deep Planet,London,UK
2. Queen Mary University and the Alan Turing Institute,London,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642927.pdf?arnumber=10642927
Reference9 articles.
1. Machine learning and remote sensing techniques applied to estimate soil indicators – Review
2. Artificial intelligence to advance earth observation: a perspective;Tuia,2023
3. Comparison of Machine Learning Methods for Predicting Soil Total Nitrogen Content Using Landsat-8, Sentinel-1, and Sentinel-2 Images
4. National-scale spatial prediction of soil organic carbon and total nitrogen using long-term optical and microwave satellite observations in Google Earth Engine
5. When do neural nets outperform boosted trees on tabular data?;McElfresh
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