Internet of Things-Based Crop Classification Model Using Deep Learning for Indirect Solar Drying

Table 1

performance of indirect solar dyer for various crops.

Mass of the product	Reduced to	Moisture content	Final moisture content	Crop	Reference
2 kg	.5628 kg	356%	16.3292%; 19.4736%; 21.1592%; 31.1582%; 42.37% (open sun drying)	Banana	[16]
1.8 kg	0.14 kg	93%	10%	Tomato	[25]
.8864 kg		86%	8.12%	Apple	[26]
1 kg		83%	12%	Papad	[27]
		77.75%	14.53%	Grapes	[28]
2 kg		78%	18.05%	Banana	[16]
7.45 kg		93.81%	6.54%	Tomato	[29]
10 kg		80%	18%	Grapes	[30]
10 kg		80%	13%	Apricots	[30]
50 kg		60%	12%	Silk cocoon	[31]
		77.2%	34.98%	Banana	[32]
38.4 kg		90.21%	10%	Red chili	[33]
40 kg		80%	10%	Red chili	[34]