Research Article
Internet of Things-Based Crop Classification Model Using Deep Learning for Indirect Solar Drying
Table 2
Efficiency and temperature used for drying crops in indirect solar dryers.
| Temp (collector) | Drying outlet | Thermal collector efficiency | Drying efficiency |
| 81 (no load condition) 38 to 81 (with load condition) | 78 | 31.50% | 22.38% [16] | 50 to 62 and 23 to 32 | 45 | 30% | 17% [25] | 20.5 to 34.0 | 25.5 to 47.5 | | 17.89% [26] | | 65 | 49.45% | 4.12% [27] | | 51.9-64.6 | 48-56% | [28] | | 62 | 49.45% | 4.12% [16] | | 62 | 55.45% | 8.8% [29] | 20 | | 65% | [30] | 33 | | 60% | [30] | 50-75 | | | 8.8-9.2% [31] | 45 | | 29.63% | 4.96% [32] | 51.89 | | 61.62% | 24.04% [33] | 57 | | 28% | 13% [34] |
|
|