Keywords
Deep learningArtificial intelligenceComputer scienceMachine learningAgricultureData scienceDomain (mathematical analysis)MathematicsGeography
Affiliated Institutions
Related Publications
Object Detection With Deep Learning: A Review
Due to object detection's close relationship with video analysis and image understanding, it has attracted much research attention in recent years. Traditional object detection ...
A survey on Image Data Augmentation for Deep Learning
Abstract Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfi...
Pattern classification and scene analysis
Provides a unified, comprehensive and up-to-date treatment of both statistical and descriptive methods for pattern recognition. The topics treated include Bayesian decision theo...
ROC Methodology in Radiologic Imaging
If the performance of a diagnostic imaging system is to be evaluated objectively and meaningfully, one must compare radiologists' image-based diagnoses with actual states of dis...
A Comprehensive Survey on Transfer Learning
Transfer learning aims at improving the performance of target learners on target domains by transferring the knowledge contained in different but related source domains. In this...
Publication Info
- Year
- 2018
- Type
- article
- Volume
- 147
- Pages
- 70-90
- Citations
- 3790
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
3790
OpenAlex
Cite This
Andreas Kamilaris,
Francesc X. Prenafeta‐Boldú
(2018).
Deep learning in agriculture: A survey.
Computers and Electronics in Agriculture
, 147
, 70-90.
https://doi.org/10.1016/j.compag.2018.02.016
Identifiers
- DOI
- 10.1016/j.compag.2018.02.016