If the data is more refined in terms of covariance, then we get an alternative index
parameter set shown in Table 7.3. Precipitation rate is not beneficial in maturity as
the last stage of wheat. However, since its small amount is an indication for
cloudiness, it is in correlation with Tmin in South Eastern Anatolia. Hence extending
the ARF term to all stages provides similar R
2 value by using less amount of
variables in the regression model.
Table 7.3 A reduced form of grouped data segmentation example concerning stage-based correlations to the yield efficiency
VPD6 VPD12
ARF
1234567
Actual yield
eff.
Predicted yield
eff.
Error
6.07
51.01
180.26
38
40.59
À2.59
7.94
20.54
374.28
171
191.99
À20.99
13.03
9.98
180.3
144
156.25
À12.25
20.32
16.44
202.06
271
201.13
69.87
29.73
12.11
329.08
284
325.21
À41.21
22.66
15.37
335.54
256
277.41
À21.41
13.29
27.97
190.5
136
131.18
4.82
13.7
27.41
495.12
303
270.60
32.40
15.7
18.11
444.68
270
277.01
À7.01
14.18
10.26
496.85
349
304.24
44.76
12.69
17.77
359.69
226
220.54
5.46
22.76
8.97
270.85
292
260.33
31.67
13.86
11.5
436.44
268
273.11
À5.11
24.28
6.84
351.35
270
309.61
À39.61
16.42
9.1
402.06
310
278.25
31.75
14.83
9.2
196.01
203
176.07
26.93
11.31
27.83
139.62
38
96.12
À58.12
26.43
9.45
160.76
230
233.77
À3.77
14.64
13.43
278.72
160
204.39
À44.39
17.47
39.61
170.92
89
128.82
À39.82
21.38
17.5
284.38
223
242.75
À19.75
11.27
6.54
274.16
160
192.88
À32.88
20.83
12.64
280.58
254
246.00
8.00
10.75
77.58
193.68
38
30.17
7.83
6.47
13.35
358.5
163
188.09
À25.09
19.07
15.12
162.48
233
177.82
55.18
20.58
23.03
343.9
248
254.58
À6.58
19.76
19.52
190.5
232
187.06
44.94
21.95
12.31
386.41
317
300.90
16.10
13.03
15.7
242.06
247
173.84
73.16
19.13
6.52
315.28
189
261.29
À72.29
Average: 16.630 18.797 291.194
213.290
213.290
0.000
St.Dev.:
5.638 14.405 101.956
81.659
73.281
36.029
R:
0.557 À0.652
0.648
1.000
0.897
7 Data Fusion in Agricultural Information Systems
119
parameter set shown in Table 7.3. Precipitation rate is not beneficial in maturity as
the last stage of wheat. However, since its small amount is an indication for
cloudiness, it is in correlation with Tmin in South Eastern Anatolia. Hence extending
the ARF term to all stages provides similar R
2 value by using less amount of
variables in the regression model.
Table 7.3 A reduced form of grouped data segmentation example concerning stage-based correlations to the yield efficiency
VPD6 VPD12
ARF
1234567
Actual yield
eff.
Predicted yield
eff.
Error
6.07
51.01
180.26
38
40.59
À2.59
7.94
20.54
374.28
171
191.99
À20.99
13.03
9.98
180.3
144
156.25
À12.25
20.32
16.44
202.06
271
201.13
69.87
29.73
12.11
329.08
284
325.21
À41.21
22.66
15.37
335.54
256
277.41
À21.41
13.29
27.97
190.5
136
131.18
4.82
13.7
27.41
495.12
303
270.60
32.40
15.7
18.11
444.68
270
277.01
À7.01
14.18
10.26
496.85
349
304.24
44.76
12.69
17.77
359.69
226
220.54
5.46
22.76
8.97
270.85
292
260.33
31.67
13.86
11.5
436.44
268
273.11
À5.11
24.28
6.84
351.35
270
309.61
À39.61
16.42
9.1
402.06
310
278.25
31.75
14.83
9.2
196.01
203
176.07
26.93
11.31
27.83
139.62
38
96.12
À58.12
26.43
9.45
160.76
230
233.77
À3.77
14.64
13.43
278.72
160
204.39
À44.39
17.47
39.61
170.92
89
128.82
À39.82
21.38
17.5
284.38
223
242.75
À19.75
11.27
6.54
274.16
160
192.88
À32.88
20.83
12.64
280.58
254
246.00
8.00
10.75
77.58
193.68
38
30.17
7.83
6.47
13.35
358.5
163
188.09
À25.09
19.07
15.12
162.48
233
177.82
55.18
20.58
23.03
343.9
248
254.58
À6.58
19.76
19.52
190.5
232
187.06
44.94
21.95
12.31
386.41
317
300.90
16.10
13.03
15.7
242.06
247
173.84
73.16
19.13
6.52
315.28
189
261.29
À72.29
Average: 16.630 18.797 291.194
213.290
213.290
0.000
St.Dev.:
5.638 14.405 101.956
81.659
73.281
36.029
R:
0.557 À0.652
0.648
1.000
0.897
7 Data Fusion in Agricultural Information Systems
119