Name
Abstract | ||
|---|---|---|
•Survey on the deep learning technique applied in agriculture.•Detailed review of 40 relevant research papers.•Examining research area, technical details, data sources and performance achieved.•Deep learning offers high precision outperforming other image processing techniques.•Discussion on advanced deep learning models used in various agricultural problems.•Status, advantages, disadvantages and potential of deep learning in agriculture.•Potential future applications in agriculture using deep learning. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compag.2018.02.016 | Computers and Electronics in Agriculture |
Keywords | DocType | Volume |
Deep learning,Agriculture,Survey,Convolutional Neural Networks,Recurrent Neural Networks,Smart farming,Food systems | Journal | 147 |
ISSN | Citations | PageRank |
0168-1699 | 72 | 2.97 |
References | Authors | |
33 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas Kamilaris | 1 | 206 | 15.70 |
| Francesc X. Prenafeta-Boldu | 2 | 90 | 4.36 |