E-Agri Home

CROP MONITORING AS AN E-AGRICULTURAL TOOL
FOR DEVELOPING COUNTRIES
A 7TH Framework Programme Project

Activity 3
Crop yield forecasting using remote sensing indicators

Morocco

Vegetation indices can be derived from satellite imagery. These indices can be used in statistical models to predict crop yield or to be used as an input in agro-meteorological modelling process. The tasks in this activity are structured as following:

  • Collecting the official yield data at county and district levels for HUAIBEI Plain (China) and at the provincial level in the main production region in Morocco
  • Investigate the bio-physical variables which can best simulate the crop growth in the target regions.
  • Establishing empirical statistical models for yield simulation.

Relationship between NDVI and Soft wheat yield (province level)

 

Link to PDF fileLink to PDF file

 

Huaibei Plain, China
The prediction models based on the indicators derived from meteorological, remote sensing variables, as well as the use of chemical fertilizer.

The location of the Huaibei plain with its six prefectures
Figure: The location of the Huaibei plain with its six prefectures

 

The prediction models based on the indicators derived from meteorological, remote sensing variables, as well as the use of chemical fertilizer.

 

Prediction model

 

Prediction model
Figure: The location of the Huaibei plain with its six prefectures

Deliverables