SURVEY ON THE DEVELOPMENT OF CROP MODELS IN INDONESIA

A Progress Report by:•Budi I. Setiawan,

•K.Honda, •R. Chinnachodteeranun,

•Gardjito, •M.Taufik

22/04/2023 Crop Modelling 2

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

22/04/2023 Crop Modelling 3

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.

22/04/2023 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

22/04/2023 Crop Modelling 5

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.

22/04/2023 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.

22/04/2023 Crop Modelling 7

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

22/04/2023 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.

22/04/2023 Crop Modelling 9

WEB BASED INFORMATIONPEST OUTBREAKS CLIMATE

PREDICTION

22/04/2023 Crop Modelling 10

INSTRUMENTATION

22/04/2023 Crop Modelling 11

TELEMETRY STATIONS

22/04/2023 Crop Modelling 12

MONITORING SYSTEM

22/04/2023 Crop Modelling 13

FIRST ROUND DISCUSSIONBogor, Saturday/11 Feb 2012

22/04/2023 Crop Modelling 14

THANK YOU•Budi I. Setiawan, •K.Honda, •R. Chinnachodteeranun, •Gardjito, •M.Taufik