CM Box User GuideMain Page | About | Special pages | Log in

Printable version | Disclaimer | Privacy policy | Current revision

(Difference between revisions)

Revision as of 10:08, 12 October 2006
Peter (Talk | contribs)
(9. Data and information dissemination)
← Previous diff
Revision as of 10:10, 12 October 2006
Peter (Talk | contribs)
(9. Data and information dissemination)
Next diff →
Line 65: Line 65:
===9. Data and information dissemination=== ===9. Data and information dissemination===
-[[Chapter24|9.1]]. Prepare write-up of the products above as inputs to national crop monitoring bulletins+[[Chapter24|9.1]]. Prepare write-up of products for crop monitoring bulletins
[[Chapter44|9.2]]. Outline of a Weather Impact Bulletin [[Chapter44|9.2]]. Outline of a Weather Impact Bulletin

Revision as of 10:10, 12 October 2006

Welcome to the Crop Monitoring Box documentation


1. Introduction

1.1. General introduction to crop forecasting and its methods.

1.2. Crop forecasting philosophy of FAO, an overview.

1.3. The principles of crop modelling and their implementation in the CMBox.

1.4. Crop yield forecasting with water balance calculations.

1.5. Introduction to CMBox software, data formats and GIS.

2. A crop monitoring network

2.1. The two basic modelling options: grid-based and station-based

2.2. Setting up a monitoring network.

2.3. Selection of a reference period.

3. Gathering and calculating weather data

3.1. Entering and importing normal and actual weather data.

3.2. Computing the reference evapotranspiration ET0.

3.3. Preparing and using the dekadal rainfall and ET0 database for crop monitoring

4. Gathering and calculating crop data

4.1. Defining cropping practices and conditions and preparation of polygons for main crop growing areas in the country.

4.2. Analysis of time series of climate and crops to identify trends. Detrending yield.

5. Techniques to use when data are unavailable

5.1. Introduction to Geostatistics and the spatial interpolation of weather and crop data.

5.2. Filling gaps in agricultural statistics.

6. The FAO water balance model and its crop forecasting indicators

6.1. The FAO Water Balance Model. Monitoring crops.

6.2. Gathering all data into the FAO AgroMetShell crop simulation software.

6.3. Run the Water Balance model. Understanding the output of the model.

7. From water balance indicators to yield estimates

7.1. Calibrate crop yields against water balance outputs and other variables.

7.2. Considerations when computing crop yield maps and create forecasts.

8. Independent indicators

8.1. Examples of other weather based indicators.

8.2. Remote Sensing and its role in crop forecasting.

9. Data and information dissemination

9.1. Prepare write-up of products for crop monitoring bulletins

9.2. Outline of a Weather Impact Bulletin

10. Setting up a crop monitoring system

10.1. Introduction

10.2. Resources required

10.3. Where to get assistance


Glossary




Page generated in 0.132735 seconds.