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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 . BACKGROUND. IMPORTANCE TO KNOW ACCURATE PLANT GROWTH , HARVEST TIME & EXPECTED YIELDS

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SURVEY ON THE DEVELOPMENT OF CROP MODELS IN INDONESIA

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  1. SURVEY ON THE DEVELOPMENT OF CROP MODELS IN INDONESIA A Progress Report by: Budi I. Setiawan, K.Honda, R. Chinnachodteeranun, Gardjito, M.Taufik

  2. BACKGROUND • IMPORTANCE TO KNOW ACCURATE PLANT GROWTH, HARVEST TIME& EXPECTED YIELDS • CROP MODEL NEED TO BE DEVELOPED AS A VALUABLE TOOL. • CROP MODEL SHOULD BE USABLE & UNDERSTANDABLE BY ANY CONCERNING PARTIES: • Farmers • Managers • Supervisors • Policy makers • Model Developers Crop Modelling

  3. BACKGROUND • CROP MODEL SHOULD ENABLE TO RESPONSE DYNAMIC ENVIROMENTAL CHANGES. • CROP MODEL SHOULD CONSIDER INFLUECING FACTORS: • Determining factors: • Genotype, solar radiation, temperature, and else. • Limiting factors: • Water, soil nutrients, and else. • Reducing factors: • Pests, deseases, weeds, pollution, and else. Crop Modelling

  4. 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 Crop Modelling

  5. PURPOSES • To know crop models for 6 commodities developed in Indonesia: • Paddy • Corn • Cassava • Sugarcane • Oil Palm • Rubber • To the status of the models • To identify scientits and institutions developing the models. • To form a research network on crop models. Crop Modelling

  6. 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. Crop Modelling

  7. RESULTS • Documents: • Paddy: 13 docs. • Corn: 20 docs. • Cassava: 4 docs. • Sugarcane: 8 docs. • Oil Palm: 10 docs. • Rubber: 5docs. • Crop Models: • Most models based on statistical analysis • There were ORYZA _W and 2000 but only for introduction. • Others: System Dynamics, Artificial Neural Networks Crop Modelling

  8. RESULTS • NEW DEVELOPMENTS IN PADDY FIELDS BASED ON CLIMATE MEASUREMENT AND PREDICTION FOR: • Determining planting calendar. • Cultivation methods. • Estimating dry season. • Estimating pest outbreaks. Crop Modelling

  9. WEB BASED INFORMATION PEST OUTBREAKS CLIMATE PREDICTION Crop Modelling

  10. INSTRUMENTATION Crop Modelling

  11. TELEMETRY STATIONS Crop Modelling

  12. MONITORING SYSTEM Crop Modelling

  13. FIRST ROUND DISCUSSIONBogor, Saturday/11 Feb 2012 Crop Modelling

  14. THANK YOU Budi I. Setiawan, K.Honda, R. Chinnachodteeranun, Gardjito, M.Taufik Crop Modelling

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