Peer-reviewedCC BYInsects
Early Detection of Red Palm Weevil Infestation: A Systematic Review of Sensing Technologies, Artificial Intelligence, and Field Readiness
- 1Department of Computer Science, Applied College, , Riyadh 11671, Saudi Arabia
- 2Department of Information Systems, College of Computer and Information Sciences, , Riyadh 11671, Saudi Arabia;
Related
- Remote sensing and artificial intelligence for crop pest and disease monitoring: A systematic review of sensing technologies, AI approaches, and barriers to field adoption
- Advances in Artificial Intelligence-Enabled Crop Pest and Disease Detection: A Systematic Review
- Artificial Intelligence and Digital Technologies for Smart Farming and Precision Agriculture
- Artificial intelligence for detecting autism spectrum disorder: a systematic review and meta-analysis
- Transparency, accountability, and scholarly integrity: A systematic narrative review of artificial intelligence governance frameworks in healthcare publication
BibTeX
@article{gabralla2026early,
title = {{Early Detection of Red Palm Weevil Infestation: A Systematic Review of Sensing Technologies, Artificial Intelligence, and Field Readiness}},
author = {Lubna A. Gabralla and Amnah Alshahrani},
journal = {Insects},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13705317},
note = {CC BY},
}
RIS
TY - JOUR
TI - Early Detection of Red Palm Weevil Infestation: A Systematic Review of Sensing Technologies, Artificial Intelligence, and Field Readiness
AU - Lubna A. Gabralla
AU - Amnah Alshahrani
PY - 2026
DA - 2026/10/01
JO - Insects
UR - https://europepmc.org/article/PMC/PMC13705317
SN - 2075-4450
ER -