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Contribute to increase the competitiveness of fruit producers in Colombia by means of a “Site-specific agriculture based on farmers experiences” system for citrus, mango, avocado and plantai
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Site-specific agriculture based on farmers experiences (SSAFE) for fruits
in Colombia
Secretaries of the Fruit Chains
(mango, aguacate, citricos, plátano)
Definition of Site-specific agriculture (SSA):
• The Colombian Sugarcane Research Centre (CENICAÑA) pioneer of SSA in Colombia
• CENICAÑA Increased production of sugarcane from 7 t/sugar/ha/yr around 1980, to 12.6 t sugar/ha/yr in the period 2001-2005 by adopting SSA
• According to (CENICAÑA):SSA is the art of managing crop according to the spatial and temporal variation in conditions of the site where they are grown with a view to optimizing production practices (Isaacs et al., 2004).
The concept• Growing conditions - highly heterogeneous
• Large number of experiments or treatments required to draw firm
conclusions concerning the optimum management of the crop under
diverse conditions.
• Each farm is an experimental station..
• Every time a farmer plants and harvests a crop it is an experiment or eventevent
• Collective knowledge is far more valuable than individual knowledge.
Hypothesis
“Every time a farmer harvests his crop, there is a unique eventevent, an unreplicatedexperiment (Cock, 2007)”
If it were possible to characterize the production system in terms of management and the environmental conditions, and if we were able to collect information on the harvested product of a large number of harvesting events under variedconditions, it should be possible to deduce optimum practices for specific conditions.
The opportunity
• Existence of “global” datasets on environment and socio-economies – these are global in extent, and local in relevance which can characterize any on-farm experiment that takes place
• Capture and delivery mechanisms for information through (ICTs – mobile phones, internet )
• An organizing world – revolution in rural organizations around supply chains, e.g. farmer organisations
Contribute to increase the competitiveness of fruit producers in Colombia by means of a “Site-specific agriculture based on farmers experiences” system for citrus, mango, avocado and plantain, The system is designed to support fruit growers in Colombia in the decision making process about the suitable conditions to grow.
Objective
trai
nin
g
Info
rmat
ion
sys
tem
3 x
Co
ord
inat
ion
Year 1 Year 3
Data “events” gathering Decentralized system1
2
Get contact with partners
Automated processes
3
Data Analysis
Creating farmers groups
4Establishing site-specific recommendations
Site-specific agriculture based on farmers Site-specific agriculture based on farmers
experiences (SSAFE) for fruits in Colombiaexperiences (SSAFE) for fruits in Colombia
Project Project componentscomponents::
• Characterization of any experiment that takes place Characterization of any experiment that takes place on farm “events”on farm “events”
• Data Analysis
• Creating groups of fruit producers
• TrainingTraining
Site-specific agriculture based on farmers Site-specific agriculture based on farmers
experiences (SSAFE) for fruits in Colombiaexperiences (SSAFE) for fruits in Colombia
Project Project componentscomponents::
• Characterization of any experiment that takes place Characterization of any experiment that takes place on farm “events”on farm “events”
• Data Data AnalysisAnalysis
• Creating groups of fruit producersCreating groups of fruit producers
• TrainingTraining
Characterization of any experiment that takes place on Characterization of any experiment that takes place on
farm “events” - farm “events” - global” datasets on environment
• Site geo-referenced using hand held GPS • Climate:
– WorldClim
– TRMM (Tropical Rainfall Measuring Mission satellite )
• Topography
– SRTM
– Landscape
Climate – Topography - Landscape
Characterization of “events” - Characterization of “events” - global” datasets on environment
Climate
Characterization of “events” - Characterization of “events” - global” datasets on environment
-30.1
30.5
Mean annualtemperature (ºC)
0
12084
Annual precipitation (mm)
Topography
Significant Improvement
GTOPO30
SRTM
LandscapeElevation Slope Aspect Landscape Class
MoistureSolar RadiationExposureCurvature
SoilsRASTA: Rapid Soil and Terrain Assessment
Suelos: RASTA
Suelos: RASTA:
Suelos: RASTA:
• ManagementPrevious experiences (project BIOTEC-CIAT)
Diseases
Pests
• Recording forms (unities, type)
•Parametrized devices
•Real-time control
Nowadays (ICTs – smart phones, internet)
• Management
• Information transferred to databases
• Information system
Site-specific agriculture based on farmers Site-specific agriculture based on farmers
experiences (SSAFE) for fruits in Colombiaexperiences (SSAFE) for fruits in Colombia
Project Project componentscomponents::
• Characterization of any experiment that takes place Characterization of any experiment that takes place on farm “events”on farm “events”
• Data Data AnalysisAnalysis
• Creating groups of fruit producersCreating groups of fruit producers
• TrainingTraining
HOMOLOGUE
• Premise: crops will perform in a similar fashion in similar enviroments wherever they happen to be in space or time
• What crops or varieties are likely to perform well where
• If climate and soils have an influence on crops adaptation.Sites with similar soils and climate features will have a similar adaptability.
• The objective is to identify potential sites for establishing crops and spread technologies from one site to another
Citrus
Antioquia produces more citruswith half of the hectares cultivated in Tolima Opportunity
0
500
1,000
1,500
2,000
2,500
3,000
Antioq
uia
Tolim
a
Cesar
Cundina
mar
ca
Magd
alena
Bolíva
r
Risara
lda
Córdob
a
Norte
San
tande
r
Cauca
Atlánt
ico
Sucre
Boyac
á
La Guaji
ra
Vichad
a
Caque
tá
Amazo
nas
Caldas
Santan
der
Has
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
To
ns
Area Producción
Department Area (Has)
Yield(Kg/ha)
Antioquia 1,163 30,035
Tolima 2,413 8,625
Cesar 1,884 11,023
Cundinamarca 1,440 9,939
Magdalena 483 18,772
Bolívar 353 7,453
Risaralda 156 10,213
Córdoba 262 18,836
MADR (average 2002- 2008)
Data AnalysisData Analysis (to provide site-specific recommendations)
•OLS: (Ordinary least squares)
•Robust regression: (Deal with outliers in data sets )
•Mixed models combined with BLUP (Best Linear Unbiased
Predictor: provides linear estimates of fixed effects
•Linear regressions
Kg/plot = Climate (b1) + Soils (b2) + Management (b3) + (B)
Kg/plot
Soil
Management
Extra
info
parameter
Math.
parameterMath.
parameterMath.
Climate
Da
taba
se
Non-linear regressions - Artificial Neural Networks
Data AnalysisData Analysis (to provide site-specific recommendations)
Analisis de relevancia:
Interpretation of the information collectedInterpretation of the information collected
Identification of the most relevant variables in the production of Andean blackberry (Rubus glaucus) in Colombia
(Jiménez, D., Cock, J., Satizábal, F., Barreto, M., Pérez-Uribe, A., Jarvis, A. and Van Damme, P., 2009. Computers and Electronics in Agriculture. 69 (2): 198–208
(a) Component plane of Andean blackberry yield, the scale bar (right) indi-cates the range value of productivity in kg/plant/week The upper side exhibits highvalues of yield, whereas the lower displays low values. (b) Kohonenmap displaying the resultant 6 clusters and their labels according to yield values.
Identification of the most relevant variables in the production of Andean blackberry (Rubus glaucus) in Colombia
Interpretation of the information collectedInterpretation of the information collected
Data AnalysisData Analysis
Components planes of the averages temperature: (a) temperature of the harvest month, (b) average temperature of the first month before harvest, (c) average temperature of the second month before harvest, and (d) average temperature of the third month before harvest. In all figures, the scale bar (right) indicates the range value in ◦C of temperature. The upper side exhibits high values, whereas the lower displays low values
Identification of the most relevant variables in the production of Andean blackberry (Rubus glaucus) in Colombia
Interpretation of the information collectedInterpretation of the information collected
Component planes of the specifics geographic areas Nariño–la union–chical alto (left) and Nariño–la union–cusillo bajo (right). The highest values indicate presence and the lowest absence as they are categorical variables
Identification of the most relevant variables in the production of Andean blackberry (Rubus glaucus) in Colombia
Interpretation of the information collectedInterpretation of the information collected
Site-specific agriculture based on farmers Site-specific agriculture based on farmers
experiences (SSAFE) for fruits in Colombiaexperiences (SSAFE) for fruits in Colombia
Project Project componentscomponents::
• Characterization of any experiment that takes place Characterization of any experiment that takes place on farm “events”on farm “events”
• Data Data AnalysisAnalysis
• Creating groups of fruit producersCreating groups of fruit producers
• TrainingTraining
Creating groups of fruit producersCreating groups of fruit producers
“Collective knowledge is far more valuable than individual knowledge ”
Example: AACREA (Argentine Association of Regional Consortiums for Agricultural Experimentation )
http://www.crea.org.ar/aacrea/site/PortalInstitucional-internet/index.html
AACREA : “to promote the technological and managerial development of its members, through participative methods, to attain the all-round improvement of producers, technicians, and the rural community as a whole”.
•Sharing knowledge
•Discussions based on collective knowledge
•Training
Creating groups of fruit producersCreating groups of fruit producers
• Get contact with fruit producers
•Training
•Establishing groups - workshops
•National tour of a “Rolling library” namely : Frutichiva to
socialize the project, promote consumption and facilitate
the information exchange
Site-specific agriculture based on farmers Site-specific agriculture based on farmers
experiences (SSAFE) for fruits in Colombiaexperiences (SSAFE) for fruits in Colombia
Project Project componentscomponents::
• Characterization of any experiment that takes place Characterization of any experiment that takes place on farm “events”on farm “events”
• Data Data AnalysisAnalysis
• Creating groups of fruit producersCreating groups of fruit producers
• TrainingTraining
Training
Training our partners in every component in order to improve the system and make it sustainable
• Collecting information
• Characterization of any experiment on farm
• Methodologies to provide site-specific recommendations
• Protocolos de análisis de datos
• Sistemas de información
Thank you!Thank you!