Grados Días de Crecimiento

Datos de Calibración para Aipe (Huila)

Fedearroz 2000Accumulative GDD above TBD Ciclo_Aipe_II Ciclo_Aipe_III Avg StdTGDDTR 0.00 0.00 0.00 0.00Emergency to P. Initiation 1083.60 1028.75 1056.18 27.43P. Initiation to Flowering 1748.00 1661.80 1704.90 43.10Flowering to Maturation 2325.50 2251.35 2288.43 37.08

Fedearroz 60Accumulative GDD above TBD Ciclo_Aipe_II Ciclo_Aipe_III Avg StdTGDDTR 0.00 0.00 0.00 0.00Emergency to P. Initiation 1083.60 1028.75 1056.18 27.43P. Initiation to Flowering 1748.00 1661.80 1704.90 43.10Flowering to Maturation 2388.05 2231.50 2309.78 78.28

Fedearroz 733Accumulative GDD above TBD Ciclo_Aipe_II Ciclo_Aipe_III Avg StdTGDDTR 0.00 0.00 0.00 0.00Emergency to P. Initiation 1065.60 1006.45 1036.03 29.57P. Initiation to Flowering 1687.05 1623.30 1655.18 31.88Flowering to Maturation 2346.70 2270.75 2308.73 37.97

GD

Temp Base = 8

𝑇𝑒𝑚𝑝𝐴𝑣𝑔≥𝑇𝑒𝑚𝑝 𝐵𝑎𝑠𝑒 𝑦 𝑇𝑒𝑚𝑝𝐴𝑣𝑔≤𝑇𝑒𝑚𝑝𝑜𝑝𝑡

𝑇𝑒𝑚𝑝𝑜𝑝𝑡<𝑇𝑒𝑚𝑝𝐴𝑣𝑔≤𝑇𝑒𝑚𝑝𝑀𝑎𝑥GD/(Temp Max - ))

= 30

= 42

7 Days

Emergency to P. Initiation

P. Initiation to Flowering

Flowering to Maturation

Zona escogida: Palermo

Fedearroz 50

Variables Correlacionadas Negativamente Variable Del Modelo Variables 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_REP Temp_Avg_REP Sol_Ener_Accu_REP*

Temp_Avg_REP Temp_Max_Avg_REP Diurnal_Range_Avg_REP Rel_Hum_Avg_REP*

Rain_10_Freq_REP* Rain_Accu_REP Temp_Min_Avg_RIP Temp_Avg_RIP Sol_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_RIP Rain_10_Freq_RIP

Variedad Número de DatosFedearroz 50 367

Artificial Neural Network Fedearroz 50

Random Forest Fedearroz 50

Conditional Forest Fedearroz 50

Fedearroz 60

Variables Correlacionadas Negativamente Variable Del Modelo Variables Correlacionadas Positivamente

Temp_Max_Avg_VEG Temp_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_REP Temp_Avg_REP Diurnal_Range_Avg_REP Rel_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_RIP Temp_Max_Avg_RIP Diurnal_Range_Avg_RIP Rel_Hum_Avg_RIP* Rain_10_Freq_RIP* Rain_Accu_RIP

Variedad Número de Datos

Fedearroz 60 159

Artificial Neural Network Fedearroz 60

Random Forest Fedearroz 60

Conditional Forest Fedearroz 60

Fedearroz 473

Variables Correlacionadas Negativamente Variable Del Modelo Variables 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_REP Temp_Avg_REP

Sol_Ener_Accu_REP* Temp_Max_Avg_REP Diurnal_Range_Avg_REP Rel_Hum_Avg_REP*

Rain_10_Freq_REP* Rain_Accu_REP

Rel_Hum_Avg_RIP Temp_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

Variedad Número de Datos

Fedearroz 473 56

Artificial Neural Network Fedearroz 473

Random Forest Fedearroz 473

Conditional Forest Fedearroz 473

Fedearroz 733

Variables Correlacionadas Negativamente Variable Del Modelo Variables Correlacionadas Positivamente

Temp_Min_Avg_VEG Sol_Ener_Accu_VEG* Diurnal_Range_Avg_VEG Rel_Hum_Avg_VEG* Rain_Accu_VEG* Rain_10_Freq_VEG Temp_Max_37_Freq_REP* Temp_Min_Avg_REP* Temp_Max_Avg_REP Temp_Avg_REP Sol_Ener_Accu_REP*

Temp_Max_Avg_REP Diurnal_Range_Avg_REP Rel_Hum_Avg_REP* Rain_Accu_REP* Rain_10_Freq_REP Temp_Min_Avg_RIP* Temp_Avg_RIP Sol_Ener_Accu_RIP* Diurnal_Range_Avg_RIP Rel_Hum_Avg_RIP*

Rain_Accu_RIP* Rain_10_Freq_RIP

Variedad Número de Datos

Fedearroz 733 124

Artificial Neural Network Fedearroz 733

Random Forest Fedearroz 733

Conditional Forest Fedearroz 473

ComparaciónResultados Modelo

ConvencionalVariedad Modelo Principales Variables Porcentaje Explicado

Fedearroz 50ANN Temp_Min_Avg_Veg - TempMax_Freq_Rep 13.126

Random Forest Temp_Min_Avg_Veg - Temp_Max_Avg_Rep 12.277

Conditional Forest Temp_Min_Avg_Veg - Sol_Ener_Accu_Veg 13.065

Fedearroz 60 ANN Sol_Ener_Accu_Rip - Rain_ Accu_Rip 9.1627

Random Forest Rel_Hum_Avg_Rep - Rel_Hum_Avg_Rip 8.6181

Conditional Forest Rel_Hum_Avg_Rip - Rel_Hum_Avg_Rep 9.1061

Fedearroz 473ANN Rain_Accu_Veg - Diurnal_Range_Avg_Rip 25.325Random Forest Temp_Min_Avg_Veg - Rain_Accu_Rep 18.965

Conditional Forest Temp_Min_Avg_Veg - Rain_10_Freq_Veg 15.584

Fedearroz 733ANN Sol_Ener_Accu_Rip - Rel_Hum_Avg_Rip 19.743Random Forest Rel_Hum_Avg_Rip - Sol_Ener_Accu_Rip 19.937

Conditional Forest Rel_Hum_Avg_Rip - Sol_Ener_Accu_Rip 22.271

Variedad Modelo Principales Variables Porcentaje Explicado

Fedearroz 50ANN Temp_Max_37_Freq_Rep - Temp_Min_Avg_Veg 9.5889Random Forest Temp_Min_Avg_Veg - Diurnal_Range_Avg_Rep 9.4517

Conditional Forest Temp_Min_Avg_Veg - Temp_Max_37_Freq_Rep 10.216

Fedearroz 60 ANN Rel_Hum_Avg_Rip - Sol_Ener_Accu_Rep 7.1888Random Forest Rel_Hum_Avg_Rip - Temp_Avg_Rep 7.9314

Conditional Forest Rel_Hum_Avg_Rip - Sol_Ener_Accu_Rep 6.9976

Fedearroz 473ANN Temp_Min_Avg_Veg - Temp_Max_31_Freq_Rip 35.128Random Forest Temp_Min_Avg_Veg - Rain_Accu_Veg 32.39

Conditional Forest Temp_Min_Avg_Veg - Rain_Accu_Veg 26.652

Fedearroz 733ANN Rel_Hum_Avg_Rip - Temp_Min_Avg_Rip 26.64Random Forest Rel_Hum_Avg_Rip - Rel_Hum_Avg_Rep 18.017

Conditional Forest Rel_Hum_Avg_Rip - Rel_Hum_Avg_Rep 22.483

Resultados Nuevo Modelo

Menor Mayor

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.