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__NOTOC__ __NOTOC__
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==Welcome to the Crop Monitoring Box documentation== ==Welcome to the Crop Monitoring Box documentation==
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===1. Introduction=== ===1. Introduction===
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[[Chapter3|1.3.]] The principles of crop modelling and their implementation in the CMBox. [[Chapter3|1.3.]] The principles of crop modelling and their implementation in the CMBox.
-[[Chapter5|1.4.]] Crop forecasting with water budget calculations. +[[Chapter5|1.4.]] Crop yield forecasting with water balance calculations.
[[Chapter6|1.5.]] Introduction to CMBox software, data formats and GIS. [[Chapter6|1.5.]] Introduction to CMBox software, data formats and GIS.
-===2. Setting up a crop monitoring network ===+===2. A crop monitoring network ===
-[[Chapter7|2.1.]]. The two basic modelling options: grid-based and station-based +[[Chapter7|2.1.]] The two basic modelling options: grid-based and station-based
-[[Chapter8|2.2.]]. Setting up a monitoring network. +[[Chapter8|2.2.]] Setting up a monitoring network.
-[[Chapter9|2.3.]]. Selection of a reference period.+[[Chapter9|2.3.]] Selection of a reference period.
===3. Gathering and calculating weather data === ===3. Gathering and calculating weather data ===
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[[Chapter10|3.1]]. Entering and importing normal and actual weather data. [[Chapter10|3.1]]. Entering and importing normal and actual weather data.
-[[Chapter11|3.2]]. Computing the ET<sub>0</sub>. +[[Chapter11|3.2]]. Computing the reference evapotranspiration ET<sub>0</sub>.
-[[Chapter12|3.3]]. Preparation of a ten-daily rainfall and ET<sub>0</sub> database for crop forecasting+[[Chapter12|3.3]]. Preparing and using the dekadal rainfall and ET<sub>0</sub> database for crop monitoring
===4. Gathering and calculating crop data === ===4. Gathering and calculating crop data ===
-[[Chapter14|4.1]]. Analysis of time series of climate and crops to identify trends, if they are present. Construction of detrended crop yield time series. +[[Chapter15|4.1]]. Defining cropping practices and conditions and preparation of polygons for main crop growing areas in the country.
-[[Chapter15|4.2]]. Preparation of polygons for main crop growing areas in the country and define cropping practices and conditions.+[[Chapter14|4.2]]. Analysis of time series of climate and crops to identify trends. Detrending yield.
===5. Techniques to use when data are unavailable=== ===5. Techniques to use when data are unavailable===
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[[Chapter13|5.1]]. Introduction to Geostatistics and the spatial interpolation of weather and crop data. [[Chapter13|5.1]]. Introduction to Geostatistics and the spatial interpolation of weather and crop data.
-[[Chapter13|5.2]]. How to fill gaps in data records+[[Chapter33|5.2]]. Filling gaps in agricultural statistics.
===6. The FAO water balance model and its crop forecasting indicators=== ===6. The FAO water balance model and its crop forecasting indicators===
-[[Chapter18|6.1.]] Understanding the FAO Water Balance Model. Crops that can be monitored, including irrigated crops. +[[Chapter18|6.1.]] The FAO Water Balance Model. Monitoring crops.
-[[Chapter19|6.2.]] Gathering all into the FAO AgroMetShell (AMS) crop simulation software.+[[Chapter19|6.2.]] Gathering all data into the FAO AgroMetShell crop simulation software.
-[[Chapter20|6.3.]] Run Water Balance model for both historical and current seasons. Understanding the output of the model.+[[Chapter20|6.3.]] Run the Water Balance model. Understanding the output of the model.
===7. From water balance indicators to yield estimates=== ===7. From water balance indicators to yield estimates===
-[[Chapter21|7.1]]. Practical introduction to multiple regression techniques and the selection of variables through a principal components analysis+[[Chapter22|7.1]]. Calibrate crop yields against water balance outputs and other variables.
- +
-[[Chapter22|7.2]]. Calibrate crop yields against water balance outputs and other variables against. +
- +
-[[Chapter23|7.3]]. Computing crop yield maps create forecasts.+
-===8. Independent indicators derived from satellite imagery===+[[Chapter23|7.2]]. Considerations when computing crop yield maps and create forecasts.
-[[Chapter4|8.1.]] Introduction to Remote Sensing (CCD and NDVI) and its role in crop forecasting. +===8. Independent indicators===
-[[Chapter16|8.2.]] Development of a standard procedure to define actual phenology (in particular crop planting date), based on local practice and satellite imagery +[[Chapter21|8.1]]. Examples of other weather based indicators.
-[[Chapter17|8.3.]] The use of Normalised Difference Vegetation Index (NDVI) images.+[[Chapter4|8.2.]] Remote Sensing and its role in crop forecasting.
===9. Data and information dissemination=== ===9. Data and information dissemination===
-[[Chapter23|9.1]]. Using other monitoring products in crop forecasting+[[Chapter24|9.1]]. Prepare write-up of products for crop monitoring bulletins
-[[Chapter24|9.2]]. Prepare write-up of the products above as inputs to national crop monitoring bulletins+[[Chapter44|9.2]]. Outline of a Weather Impact Bulletin
===10. Setting up a crop monitoring system=== ===10. Setting up a crop monitoring system===
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[[Chapter25|10.2]]. Resources required [[Chapter25|10.2]]. Resources required
-[[Chapter26|10.3]]. Where to get assistance+[[Chapter26|10.3]]. How to get assistance

Current revision

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. How to get assistance


Glossary




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