Machine Learning. Earth is a peer-reviewed english-language open-access journal published by IOP Publishing in United Kingdom, operating under an open-access model since 2025. The journal covers Environmental sciences and Mathematics: Instruments and machines: Electronic computers. Computer science.
Authors are required to pay an article processing charge to publish in Machine Learning. Earth; refer to the journal's APC page for the current rate. A waiver policy is offered for eligible authors. Articles are released under the CC BY license (see other journals using this license).
Keywords
machine learning, artificial intelligence, climate and weather forecasting, environmental monitoring, natural hazard prediction, geospatial data science
At a glance
- Publisher
- IOP Publishing
- Country
- United Kingdom
- Primary language
- English
- License
- CC BY
- Peer review
- Anonymous peer review, Double anonymous peer review
- OA since
- 2025
ISSN
- electronic
- 3049-4753
Frequently asked questions
Is Machine Learning. Earth peer-reviewed?
Yes — Machine Learning. Earth operates a Anonymous peer review, Double anonymous peer review review process.
Does Machine Learning. Earth charge an article processing charge (APC)?
Yes — refer to the journal's APC page for the current rate. A waiver policy is available for eligible authors.
What subjects does Machine Learning. Earth publish?
Machine Learning. Earth publishes research in Environmental sciences and Mathematics: Instruments and machines: Electronic computers. Computer science.
What languages does Machine Learning. Earth accept?
Machine Learning. Earth accepts manuscripts in English.
What is the ISSN of Machine Learning. Earth?
ISSN:
3049-4753 (electronic).How do I submit a manuscript to Machine Learning. Earth?
Submit through the journal's official portal: visit submission page →