1 Grados Días de Crecimiento
2 Datos de Calibración para Aipe (Huila) Fedearroz 2000 Accumulative GDD above TBDCiclo_Aipe_IICiclo_Aipe_IIIAvgStd TGDDTR0.00 Emergency to P. Initiation1083.601028.751056.1827.43 P. Initiation to Flowering1748.001661.801704.9043.10 Flowering to Maturation2325.502251.352288.4337.08 Fedearroz 60 Accumulative GDD above TBDCiclo_Aipe_IICiclo_Aipe_IIIAvgStd TGDDTR0.00 Emergency to P. Initiation1083.601028.751056.1827.43 P. Initiation to Flowering1748.001661.801704.9043.10 Flowering to Maturation2388.052231.502309.7878.28 Fedearroz 733 Accumulative GDD above TBDCiclo_Aipe_IICiclo_Aipe_IIIAvgStd TGDDTR0.00 Emergency to P. Initiation1065.601006.451036.0329.57 P. Initiation to Flowering1687.051623.301655.1831.88 Flowering to Maturation2346.702270.752308.7337.97 Temp Base = 8
3 7 Days Emergency to P. Initiation P. Initiation to Flowering Flowering to Maturation
4 Zona escogida: Palermo
5 Fedearroz 50 Variables Correlacionadas NegativamenteVariable Del ModeloVariables Correlacionadas Positivamente Temp_Min_Avg_VEG* Temp_Max_35_Freq_VEG Temp_Avg_VEG Temp_Max_Avg_VEG Sol_Ener_Accu_VEG* Temp_Avg_VEG Temp_Max_35_Freq_VEG Diurnal_Range_Avg_VEG Temp_Max_Avg_VEG Rel_Hum_Avg_VEG* Rain_10_Freq_VEG*Rain_Accu_VEG Temp_Max_37_Freq_REP* Temp_Min_Avg_REP*Temp_Max_Avg_REPTemp_Avg_REP Sol_Ener_Accu_REP* Temp_Avg_REP Temp_Max_Avg_REP Diurnal_Range_Avg_REPRel_Hum_Avg_REP* Rain_10_Freq_REP*Rain_Accu_REP Temp_Min_Avg_RIPTemp_Avg_RIPSol_Ener_Accu_RIP* Temp_Avg_RIP Temp_Max_Avg_RIP Diurnal_Range_Avg_RIP Temp_Max_31_Freq_RIP Rain_Accu_RIP*Rel_Hum_Avg_RIPRain_10_Freq_RIP VariedadNúmero de Datos Fedearroz 50367
6 Artificial Neural Network Fedearroz 50
7 Random Forest Fedearroz 50
8 Conditional Forest Fedearroz 50
9 Fedearroz 60 Variables Correlacionadas NegativamenteVariable Del ModeloVariables Correlacionadas Positivamente Temp_Max_Avg_VEGTemp_Min_Avg_VEG Temp_Avg_VEG Temp_Max_35_Freq_VEG Sol_Ener_Accu_VEG* Rain_10_Freq_VEG*Rain_Accu_VEG Temp_Min_Avg_REP Temp_Avg_REP Temp_Max_37_Freq_REP Temp_Min_Avg_RIP Temp_Max_Avg_REP Sol_Ener_Accu_REP* Temp_Max_Avg_REPTemp_Avg_REPDiurnal_Range_Avg_REPRel_Hum_Avg_REP* Rain_10_Freq_REP*Rain_Accu_REP Temp_Max_Avg_RIP Temp_Min_Avg_RIP Temp_Max_Avg_REP Temp_Avg_RIP Temp_Avg_REP Sol_Ener_Accu_RIP* Temp_Max_31_Freq_RIPTemp_Max_Avg_RIPDiurnal_Range_Avg_RIPRel_Hum_Avg_RIP* Rain_10_Freq_RIP*Rain_Accu_RIP VariedadNúmero de Datos Fedearroz 60159
10 Artificial Neural Network Fedearroz 60
11 Random Forest Fedearroz 60
12 Conditional Forest Fedearroz 60
13 Fedearroz 473 Variables Correlacionadas NegativamenteVariable Del ModeloVariables Correlacionadas Positivamente Temp_Max_35_Freq_VEG* Temp_Max_Avg_VEG Diurnal_Range_Avg_VEG Temp_Avg_VEG Temp_Min_Avg_VEG* Sol_Ener_Accu_VEG* Rain_10_Freq_VEG*Rain_Accu_VEG Temp_Min_Avg_REP*Temp_Max_37_Freq_REPTemp_Avg_REP Sol_Ener_Accu_REP* Temp_Max_Avg_REPDiurnal_Range_Avg_REPRel_Hum_Avg_REP* Rain_10_Freq_REP*Rain_Accu_REP Rel_Hum_Avg_RIPTemp_Max_31_Freq_RIP* Temp_Max_Avg_RIP Diurnal_Range_Avg_RIP Temp_Avg_RIP Temp_Min_Avg_RIP* Sol_Ener_Accu_RIP* Rain_Accu_RIP*Rain_10_Freq_RIP VariedadNúmero de Datos Fedearroz 47356
14 Artificial Neural Network Fedearroz 473
15 Random Forest Fedearroz 473
16 Conditional Forest Fedearroz 473
17 Fedearroz 733 Variables Correlacionadas NegativamenteVariable Del Modelo Variables Correlacionadas Positivamente Temp_Min_Avg_VEGSol_Ener_Accu_VEG* Diurnal_Range_Avg_VEGRel_Hum_Avg_VEG* Rain_Accu_VEG*Rain_10_Freq_VEG Temp_Max_37_Freq_REP* Temp_Min_Avg_REP*Temp_Max_Avg_REPTemp_Avg_REP Sol_Ener_Accu_REP* Temp_Max_Avg_REPDiurnal_Range_Avg_REPRel_Hum_Avg_REP* Rain_Accu_REP*Rain_10_Freq_REP Temp_Min_Avg_RIP*Temp_Avg_RIP Sol_Ener_Accu_RIP* Diurnal_Range_Avg_RIPRel_Hum_Avg_RIP* Rain_Accu_RIP*Rain_10_Freq_RIP VariedadNúmero de Datos Fedearroz 733124
18 Artificial Neural Network Fedearroz 733
19 Random Forest Fedearroz 733
20 Conditional Forest Fedearroz 473
21 Comparación Resultados Modelo Convencional VariedadModeloPrincipales VariablesPorcentaje Explicado Fedearroz 50 ANNTemp_Min_Avg_Veg - TempMax_Freq_Rep 13.126 Random ForestTemp_Min_Avg_Veg - Temp_Max_Avg_Rep 12.277 Conditional ForestTemp_Min_Avg_Veg - Sol_Ener_Accu_Veg 13.065 Fedearroz 60 ANNSol_Ener_Accu_Rip - Rain_ Accu_Rip 9.1627 Random ForestRel_Hum_Avg_Rep - Rel_Hum_Avg_Rip 8.6181 Conditional ForestRel_Hum_Avg_Rip - Rel_Hum_Avg_Rep 9.1061 Fedearroz 473 ANNRain_Accu_Veg - Diurnal_Range_Avg_Rip 25.325 Random ForestTemp_Min_Avg_Veg - Rain_Accu_Rep 18.965 Conditional ForestTemp_Min_Avg_Veg - Rain_10_Freq_Veg 15.584 Fedearroz 733 ANNSol_Ener_Accu_Rip - Rel_Hum_Avg_Rip 19.743 Random ForestRel_Hum_Avg_Rip - Sol_Ener_Accu_Rip 19.937 Conditional ForestRel_Hum_Avg_Rip - Sol_Ener_Accu_Rip 22.271 VariedadModeloPrincipales VariablesPorcentaje Explicado Fedearroz 50 ANNTemp_Max_37_Freq_Rep - Temp_Min_Avg_Veg 9.5889 Random ForestTemp_Min_Avg_Veg - Diurnal_Range_Avg_Rep 9.4517 Conditional ForestTemp_Min_Avg_Veg - Temp_Max_37_Freq_Rep 10.216 Fedearroz 60 ANNRel_Hum_Avg_Rip - Sol_Ener_Accu_Rep 7.1888 Random ForestRel_Hum_Avg_Rip - Temp_Avg_Rep 7.9314 Conditional ForestRel_Hum_Avg_Rip - Sol_Ener_Accu_Rep 6.9976 Fedearroz 473 ANNTemp_Min_Avg_Veg - Temp_Max_31_Freq_Rip 35.128 Random ForestTemp_Min_Avg_Veg - Rain_Accu_Veg 32.39 Conditional ForestTemp_Min_Avg_Veg - Rain_Accu_Veg 26.652 Fedearroz 733 ANNRel_Hum_Avg_Rip - Temp_Min_Avg_Rip 26.64 Random ForestRel_Hum_Avg_Rip - Rel_Hum_Avg_Rep 18.017 Conditional ForestRel_Hum_Avg_Rip - Rel_Hum_Avg_Rep 22.483 Resultados Nuevo Modelo
22 Comparación de días Los días de referencia fueron tomados de la base de datos de monitoreo de finca, para los 134 datos correspondientes a Palermo.