Analysis of the Oil Content of Rapeseed Using Artificial Neural Networks Based on Near Infrared Spectral Data

Table 1

Data of 29 rapeseed samples.

Sample	𝑐 (%)	Wavelength (μm)
		𝜆=1.68	𝜆=1.73	𝜆=1.94	𝜆=2.10	𝜆=2.18
1	39.60	0.70059	0.76184	0.85572	0.86851	0.87385
2	40.33	0.70218	0.77053	0.89213	0.87777	0.88360
3	38.71	0.69428	0.75829	0.88461	0.86710	0.87264
4	38.53	0.70560	0.77184	0.89991	0.88426	0.88747
5	37.57	0.69840	0.76610	0.90143	0.88410	0.88841
6	37.76	0.69448	0.76032	0.89164	0.87292	0.87551
7	38.22	0.73863	0.81279	0.93508	0.92134	0.92534
8	37.57	0.69165	0.76566	0.90251	0.88688	0.88994
9	39.17	0.68090	0.74233	0.87103	0.85752	0.85983
10	39.98	0.68634	0.75908	0.88710	0.87267	0.87799
11	38.93	0.69500	0.76286	0.88532	0.87407	0.87893
12	36.61	0.69674	0.76537	0.89669	0.88421	0.89025
13	39.74	0.69335	0.76262	0.88754	0.87327	0.87888
14	38.12	0.69504	0.76614	0.89400	0.88275	0.88853
15	38.89	0.69658	0.76258	0.88753	0.87480	0.87960
16	39.85	0.68976	0.75463	0.85723	0.86513	0.86898
17	39.90	0.68955	0.75582	0.87775	0.86404	0.86850
18	38.84	0.69057	0.75927	0.88184	0.87312	0.87900
19	38.32	0.69654	0.76187	0.88378	0.87097	0.88071
20	38.21	0.69645	0.76287	0.89703	0.87551	0.87432
21	38.13	0.70596	0.77703	0.90508	0.88704	0.89242
22	38.51	0.69456	0.76413	0.89476	0.87563	0.88302
23	38.31	0.70629	0.77119	0.89479	0.88420	0.88730
24	39.21	0.68059	0.74624	0.87088	0.85682	0.86421
25	38.61	0.68567	0.75328	0.88502	0.86225	0.87175
26	39.03	0.68050	0.75124	0.87930	0.86176	0.87014
27	39.31	0.68053	0.74778	0.87492	0.85486	0.86043
28	36.50	0.68824	0.75139	0.88715	0.86963	0.87842
29	37.40	0.69583	0.76104	0.89541	0.88044	0.88611