Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review.
- DOI
- 10.3389/fpls.2023.1143326
- Published
- 2023
- Container
- Frontiers in plant science
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/fpls.2023.1143326,
title = {Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review.},
author = {Mesías-Ruiz GA and Pérez-Ortiz M and Dorado J and de Castro AI and Peña JM},
year = {2023},
journal = {Frontiers in plant science},
doi = {10.3389/fpls.2023.1143326},
url = {https://doi.org/10.3389/fpls.2023.1143326}
}RIS
TY - JOUR TI - Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review. AU - Mesías-Ruiz GA AU - Pérez-Ortiz M AU - Dorado J AU - de Castro AI AU - Peña JM PY - 2023 JO - Frontiers in plant science DO - 10.3389/fpls.2023.1143326 UR - https://doi.org/10.3389/fpls.2023.1143326 ER -
APA
GA, M., M, P., J, D., AI, D. C., & JM, P. (2023). Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review.. Frontiers in plant science. https://doi.org/10.3389/fpls.2023.1143326
Source records
- pubmed · retrieved 2026-11-10T11:02:53.312Z