Name
Title | ||
|---|---|---|
A Deep Learning and Social IoT Approach for Plants Disease Prediction Toward a Sustainable Agriculture |
Abstract | ||
|---|---|---|
As the world becomes increasingly interconnected, emerging and innovative sensing technologies are shaping the future of agriculture, with a special focus on sustainability-related issues. In this context, we envision the possibility to exploit Social Internet of Things for sensing of environmental conditions (solar radiation, humidity, air temperature, and soil moisture) and communications, deep ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JIOT.2021.3097379 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Diseases,Internet of Things,Agriculture,Sensors,Deep learning,Smart phones,Plants (biology) | Journal | 9 |
Issue | ISSN | Citations |
10 | 2327-4662 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giovanni Delnevo | 1 | 10 | 12.81 |
| Roberto Girau | 2 | 185 | 10.01 |
| Chiara Ceccarini | 3 | 1 | 3.73 |
| Catia Prandi | 4 | 155 | 34.78 |