Classification and Prediction of Bee Honey Indirect Adulteration Using Physiochemical Properties Coupled with K-Means Clustering and Simulated Annealing-Artificial Neural Networks (SA-ANNs)

Table 2

Moisture, pH, and acidity measurements of honey samples fed with different amounts of sucrose syrup (all values are means of three observations and calculated on wet basis).

Trt	Sucrose solution fed (L)	Moisture content (%)	pH	Acidity (meq/kg)
Trt 1	0 (control)	15.8 ± 0.1^a	3.04 ± 0.02^f	7.00 ± 1.00^a
Trt 2	10	15.8 ± 0.1^a	3.88 ± 0.01^e	5.00 ± 1.00^b
Trt 3	20	15.6 ± 0.7^a	4.16 ± 0.01^d	5.00 ± 1.00^b
Trt 4	40	15.4 ± 0.1^a	4.19 ± 0.04^cd	4.83 ± 0.28^b
Trt 5	60	15.4 ± 0.1^a	4.21 ± 0.03^bc	4.83 ± 0.28^b
Trt 6	80	15.2 ± 0.6^a	4.24 ± 0.02^b	4.67 ± 0.57^b
Trt 7	100	15.2 ± 0.5^a	4.63 ± 0.02^a	4.00 ± 0.81^b

Means ± SD in the same column with the same letter are not significantly different ( ≤ 0.05). No significant differences between all the treatments.