Estadísticas alimentarias y agrícolas

International seminar on approaches and methodologies for crop monitoring and production forecasting


25 – 26 May 2016, Dhaka, Bangladesh

Organized by the Food and Agriculture Organization of the United Nations (FAO) and the Bangladesh Bureau of Statistics, this international seminar will provide a platform to exchange knowledge and lessons leaned with different systems and methodologies for crop monitoring and production forecasting. This seminar will in particular focus on identifying an appropriate methodology to monitor AMIS crops in Bangladesh.

Around 60 experts are expected to participate in the event. These include technical staff from national institutions in Bangladesh as well as resource person from Australia, China, the EU, India, Indonesia, Japan, Pakistan, the Philippines, Thailand, the United States and Viet Nam. Participants are furthermore expected from the Asian Development Bank, the International Rice Research Institute and FAO.

The two-day seminar will cover the following aspects:

1. A contemporary perspective on crop monitoring and forecasting - technology, methodology, institutions and challenges

2. Country experiences in the use of remote sensing, GIS and agro-meteorology as well as institutional arrangements for crop monitoring

3. Methodological development of production forecasting





Inaugural Session: 

1. Recent initiatives of Bangladesh to improve agriculture and rural statistics

2. Crop forecasting: Its importance, current approaches, ongoing evolution and organizational aspect

Session 1: Global initiatives in crop monitoring and forecasting

1. The MARS, GLOBCAST and GEOGLAM Crop Yield monitoring and forecasting systems and their potential application in Bangladesh

2. Preparation of the USDA World Agricultural Supply and Demand Estimates (WASDE) Report

3. Crop Assessments methodology used  for preparing crop outlooks, in less than ideal conditions of data systems: The CFSAM Approach

Session 2: Remote Sensing application in crop monitoring

1. Application of remote sensing technology in Bangladesh: challenges and prospects

2. Satellite based rice area monitoring and yield forecasting

3. Crop production forecasting using remote sensing data - experience of China's Crop Watch system

4. Testing Point Area Sampling Frame as candidate for Master Frame in Nepal

5. Crop Assessment using Space, Agro-Meteorology & Land based observations : Indian Experience

6. Application of remote sensing technologies for mapping of cropping pattern and area estimations for major summer and winter crops across spatial and temporal scales: Lessons learnt in Australia

Session 3: Agro-meteorology based crop monitoring

1. Availability of agro-meteorological data for crop monitoring in Bangladesh

2. Agrometeorological approaches to crop yield forecasting

3. Improved wheat yield and production forecasting with a moisture stress index, AVHRR and MODIS data

4. AGROMET model based yield prediction in India

Session 4: Crop monitoring and production estimation using survey and administrative data

1. Crop Monitoring System in Bangladesh: Main Challenges and Recent Initiatives

2. The Crop Production Survey & Estimate of China

3. Survey based crop forecasting and updating in the Philippines

4. Improving Reliability of the Administrative Crop Reporting Systems

5. Current system of crop forecasting, monitoring and production estimation in Viet Nam: Lessons Learnt

6. U.S. Crop Production Forecasting and Estimation Methodology

Session 5: Crop simulation and modelling based on diverse set of data:  Integrated approaches

1. Forecasting Rice Production in Bangladesh using Statistical Model

2. Method of rice planting area monitoring and forecasting production to support food self-sufficiency in Indonesia

3. Early season crop forecasting with econometric modelling: FASAL in India

4. Forecasting and estimation of rice production in Japan

5. System of Finalization of All India Level Estimates of Agricultural Crops in India using Multiple Sources of Data

6. Natural Hazard Damage Assessment of Rice Yield in part of Gilan province

7. Simulating Rice Yield in Bangladesh