A Systematic Review of the Use of Deep Learning in Satellite Imagery for Agriculture

Brandon Victor, Aiden Nibali, Zhen He

Open source

DOI: 10.1109/jstars.2024.3501216
Published: 2025
Container: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1109/jstars.2024.3501216,
  title = {A Systematic Review of the Use of Deep Learning in Satellite Imagery for Agriculture},
  author = {Brandon Victor and Aiden Nibali and Zhen He},
  year = {2025},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  doi = {10.1109/jstars.2024.3501216},
  url = {https://doi.org/10.1109/jstars.2024.3501216}
}

RIS

TY  - JOUR
TI  - A Systematic Review of the Use of Deep Learning in Satellite Imagery for Agriculture
AU  - Brandon Victor
AU  - Aiden Nibali
AU  - Zhen He
PY  - 2025
JO  - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
DO  - 10.1109/jstars.2024.3501216
UR  - https://doi.org/10.1109/jstars.2024.3501216
ER  -

APA

Victor, B., Nibali, A., & He, Z. (2025). A Systematic Review of the Use of Deep Learning in Satellite Imagery for Agriculture. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://doi.org/10.1109/jstars.2024.3501216

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doaj · retrieved 2026-11-10T14:48:12.280Z