Agricultura Precisión y Nivelacíón con GPS en Caña de

Y
obtenga siempre lo mismo!
José María Agüero Chacón
Agricultura Científica S.A.
San José, Costa Rica
8 Setiembre 2011
Uso de la tecnología para manejar los
insumos y maximizar la producción
GPS
Software
Equipos
◦ Sensores
◦ Mapas de suelos, biomasa, rendimientos, aplicación
◦ Computadoras
Aplicación a dosis controlada
◦ Dosis variable y control de secciones
◦ Líquidos
◦ Fertilizantes
1.
2.
3.
4.
5.
6.
7.
8.
Levantamiento topográfico
Diseño de nivelación de tierras
Nivelación de tierras con GPS
Mapeo de suelos
Surcado con GPS (2 cm) y siembra
Cultivo / escarificado
Aplicación de Fertilizante
Cosecha mecanizada
AG FORM 3D
Diseño de riego
Pendiente fija
Pendiente variable
Reducción de movimiento 50%
System 210 Products
System 210 Single Scraper
system
System 210 Dual Scraper
system
Error de posición:
2,0 cm
Volante eléctico
Sistema hidráulico
1. Land preparation
- Decimetre
2. Planting
- RTK map based guidance
3. Harvesting / Hauling - RTK Total Recall
4. Yearly Treatments
4.
- RTK Total Recall
Citrus / Coffee / Forestry
1.
2.
3.
TRAMPLING AND COMPACTION
Line without trampling
Line with Trampling
Economía combustible
Aumento productividad de la maquinaria
Manejo de la compactación del suelo
Capacidad de usar implementos de distinto #
de surcos (surqueador, abonador, cultivador,
fumigador)
Menos fatiga del operador, más trabajo
productivo
Operador controla y supervisa los
implementos
CropSpec
OnOn-thethe-Go Canopy Sensor
kg N/ha
250
Plant
analysis
+
2. dressing
200
Plant
analysis
+
3. dressing
fertilizer
demand
150
100
1.
dressing
50
Tillering
Stem
elongation
Ear
Flowering
emergence
0
Feb
March
April
May
June
July
Aug
The basis for getting meaningful crop information
accurate measurements in various crops and
over a wide range of crop densities
based on know-how and extensive field trial work by Yara
730-740 nm & 800-810 nm
1000
0.8
900
Wavelength 2 /nm
0.7
0.6
800
0.5
700
0.4
0.3
600
optimum waveband
combination
0.2
r2 values
for the correlation
between
measurements using
respective waveband
combinations and crop
characteristics
(e.g. crop biomass,
N-uptake)
0.1
500
0
400
400
500
600
700
800
Wavelength 1 /nm
900
1000
Source: Reusch, 2005
CropSpec
Controller or Data Collector
Day or Night operation
Monitor in-field variability
Monitor crop development over time
Manage applications
◦ Read and record
◦ Hi / Low Basic
◦ Real time VRA
Cab Mounted Sensors
Geometry provides largest footprint per sensor in the industry
Sensing Larger % of Area to be Applied
◦ Redundancy in Left and Right viewing areas
Safety and Stability of Sensors
◦ Less potential for damage
Viewing crop at an angle, rather than from 90 degrees
directly above
◦ Minimize affects of shadowing, crop movement, etc.
Light Source and Detector at Uniform Angle to Crop
◦ Minimize affects of crop movement, weak crop stands.
Monitor in-field variability
Treat on-the-go
Wheat, April 19 , 2007
Keep data for future recommendations /
applications
th
70
65
60
55
50
45
40
35
30
25
20
15
10
5
0
0m
50 m
100 m
150 m
200 m
Sensor allows accurate crop monitoring over
time
April 25 , 2007
April 19 , 2007
Create application program based on health
stages
th
th
85
80
75
70
65
60
55
50
45
40
35
30
25
20
15
Average S1: 47
Average S1: 56
0m
100 m
200 m
300 m
400 m
Flexible Modes of Operation
1. Read and Record
allows the user to collect and store data for offline analysis
and creation of prescription maps
Use of various tools to develop prescription
2. User Determined Rate Control
2 point Calibration, User sets High and Low
Field Observation point and use existing algorithm
“On the Go” Averaging with User determined target rate
3. “On-the-Go” Application using Agronomic models
QUESTIONS?