The Development of an Intelligent Monitoring System for Agricultural Inputs Basing on DBN-SOFTMAX
Table 1
The characteristic data table.
ya
Feature data
1
0.261774
0.51821
0.363377
0.333239
0.40386
0.748109
1
0.249594
0.569245
0.360975
0.317917
0.442481
0.728785
1
0.25111
0.560419
0.361024
0.32006
0.437188
0.730672
2
0.811001
0.796877
0.348194
0.270687
0.189169
0.231068
2
0.839929
0.777112
0.698331
0.380023
0.302937
0.187739
2
0.822922
0.811853
0.321081
0.268463
0.183998
0.220862
3
0.397166
0.347973
0.591175
0.642555
0.696136
0.526804
3
0.441901
0.3287
0.630434
0.696979
0.742546
0.464949
3
0.417766
0.325697
0.646081
0.692987
0.75344
0.477638
4
0.716266
0.526859
0.587048
0.715965
0.590975
0.389491
4
0.764408
0.593614
0.599644
0.594801
0.447832
0.317517
4
0.735743
0.50656
0.56267
0.718762
0.570059
0.368529
5
0.221322
0.570325
0.261664
0.264869
0.386502
0.750886
5
0.226302
0.555085
0.258739
0.26812
0.375292
0.751574
5
0.23323
0.578087
0.251799
0.265587
0.376804
0.743913
6
0.760376
0.252841
0.753006
0.841325
0.298932
0.814017
6
0.752798
0.194803
0.781346
0.848471
0.26095
0.846151
6
0.760472
0.275192
0.74997
0.839426
0.310604
0.809583
a y is for the types of agricultural inputs. 1: potassium fertilizer; 2: compound fertilizer; 3: imidacloprid; 4: Podol liquid; 5: oxamoxime; 6: phosphate fertilizer.
