Application of Remote Sensing and Machine Learning in Sustainable Agriculture
Global agriculture is undergoing a period of profound transformation, driven by the need to increase food production in a context characterized by climate change, the degradation of natural resources and increasing pressure on agricultural ecosystems [...]
Authors
- Paul Sestraș (ORCID: https://orcid.org/0000-0002-8554-0924)
- Ana-Cornelia Badea (ORCID: https://orcid.org/0000-0003-4521-5403)
- Aleksandar Ristić (ORCID: https://orcid.org/0000-0003-0979-3345)
- Mihai Valentin Herbei (ORCID: https://orcid.org/0000-0002-3884-3658)
Institutions
- Technical University of Civil Engineering of Bucharest (RO)
- University of Novi Sad (RS)
- University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca (RO)
Publication Details
- Journal
- Sustainability
- Published
- 2026-09-16
- DOI
- https://doi.org/10.3390/su18189472
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 0.00