Past, present and future of the applications of machine learning in soil science and hydrology
Machine learning can handle an ever-increasing amount of data with the ability to learn models from the data. It has been widely used in a variety of disciplines and is gaining increasingly more attention nowadays. As it is challenging to map soil and hydrological information that are characterised...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Czech Academy of Agricultural Sciences
2023-05-01
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| Series: | Soil and Water Research |
| Subjects: | |
| Online Access: | https://swr.agriculturejournals.cz/artkey/swr-202302-0001_past-present-and-future-of-the-applications-of-machine-learning-in-soil-science-and-hydrology.php |