Name
Title | ||
|---|---|---|
Artificial intelligence - enabled soft sensor and internet of things for sustainable agriculture using ensemble deep learning architecture |
Abstract | ||
|---|---|---|
•IoT (Internet of things) and Artificial Intelligence (AI), as well as other advanced computing technologies, have long been used in agriculture.•This data has been pre-processed to recognize the missing value, data cleaning and noise removal from the image which is collected from the agricultural land.•To collect the data from soft sensors and their cultivation-based historical data through IoT module.•As a result, for long-term food production, farmers must maximise the use of various resources such as fertilisers, water, and nutrients. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.compeleceng.2022.108128 | Computers and Electrical Engineering |
Keywords | DocType | Volume |
Agriculture,Predictive maintenance,CPS,Soft sensors,Deep learning,Feature representation,Classification | Journal | 102 |
ISSN | Citations | PageRank |
0045-7906 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anupong Wongchai | 1 | 0 | 0.34 |
| Surendra Kumar Shukla | 2 | 0 | 0.34 |
| Mohammed Altaf Ahmed | 3 | 0 | 0.34 |
| Ulaganathan Sakthi | 4 | 0 | 0.34 |
| Mukta Jagdish | 5 | 0 | 0.34 |
| Ravi Kumar | 6 | 21 | 4.89 |