SURVEY ON THE DEVELOPMENT OF CROP MODELS IN INDONESIA
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Transcript of SURVEY ON THE DEVELOPMENT OF CROP MODELS IN INDONESIA
SURVEY ON THE DEVELOPMENT OF CROP MODELS IN INDONESIA
A Progress Report by:•Budi I. Setiawan,
•K.Honda, •R. Chinnachodteeranun,
•Gardjito, •M.Taufik
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BACKGROUNDIMPORTANCE TO KNOW ACCURATE PLANT
GROWTH, HARVEST TIME & EXPECTED YIELDSCROP MODEL NEED TO BE DEVELOPED AS A
VALUABLE TOOL.CROP MODEL SHOULD BE USABLE &
UNDERSTANDABLE BY ANY CONCERNING PARTIES:FarmersManagersSupervisorsPolicy makersModel Developers
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BACKGROUNDCROP MODEL SHOULD ENABLE TO
RESPONSE DYNAMIC ENVIROMENTAL CHANGES.
CROP MODEL SHOULD CONSIDER INFLUECING FACTORS:1. Determining factors:
Genotype, solar radiation, temperature, and else.2. Limiting factors:
Water, soil nutrients, and else.3. Reducing factors:
Pests, deseases, weeds, pollution, and else.
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BACKGROUND TO CREATE SUCH CROP MODEL NEEDS:
Robust monitoring system. Interactive to various users. Capable to developed by others. Common data be shared by others.
BEFORE CREATING SUCH CROP MODEL NEED TO KNOW DEVELOPMENT OF CROP MODEL. Status Constraint Trend
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PURPOSES1. To know crop models for 6 commodities developed in
Indonesia:1. Paddy2. Corn3. Cassava4. Sugarcane5. Oil Palm6. Rubber
2. To the status of the models3. To identify scientits and institutions developing the
models.4. To form a research network on crop models.
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METHODS Collect articles, research reports, etc. Communice with the authors. Round table discussions. Select competent scientists and institutions. Site visit to the selected institutions. Interview with other scientists in sites. Hold seminar and workshop.
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RESULTS Documents:
1. Paddy: 13 docs.2. Corn: 20 docs.3. Cassava: 4 docs.4. Sugarcane: 8 docs.5. Oil Palm: 10 docs.6. Rubber: 5 docs.
Crop Models: Most models based on statistical analysis There were ORYZA _W and 2000 but only for
introduction. Others: System Dynamics, Artificial Neural Networks
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RESULTS NEW DEVELOPMENTS IN PADDY FIELDS
BASED ON CLIMATE MEASUREMENT AND PREDICTION FOR: Determining planting calendar. Cultivation methods. Estimating dry season. Estimating pest outbreaks.
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WEB BASED INFORMATIONPEST OUTBREAKS CLIMATE
PREDICTION
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INSTRUMENTATION
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TELEMETRY STATIONS
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MONITORING SYSTEM
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FIRST ROUND DISCUSSIONBogor, Saturday/11 Feb 2012
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THANK YOU•Budi I. Setiawan, •K.Honda, •R. Chinnachodteeranun, •Gardjito, •M.Taufik