Forecasting national crop yields of E.C. countries : The approach developed by the Agriculture project
The Agricultural Information Systems Unit of the Institute of Remote Sensing Applications is currently developing a system for the timely forecasting of the national annual yields of the EC's most important crops - wheat, barley, grain maize, rice, sugar-beet, potato, oilseed rape, sunflower, soya-bean, cotton, wine grape and olive. The outputs of the system are quantitative assessments of yields and qualitative crop state monitoring by area. For the forecasting of annual crop yields and for crop state monitoring, agrometeorological models are being developed and validated. For the yield forecasting of the perennial olive, vine grape, citrus and fruits, statistical techniques and the experimental aeropalynological method are being tested. For the agrometeorological and statistical models, data from the real time reporting meteorological network are being used in combination with the 1:1,000,000 EC soil map and regional information on crop growing conditions and farming practices. Crop yield predictions will be produced for countries and large regions; the spatial resolution of the qualitative crop state monitoring is expected to be approximately 50 km x 50 km. This is mainly due to the limited spatial resolution and precision of most of the input data. In future, part of these problems may be overcome by the use of remote sensing information.
Bibliographic Reference: Paper presented: Workshop on Agrometeorology, Firenze (IT), April 13-14, 1992
Availability: Available from (1) as paper EN 36666 ORA
Record Number: 199210644 / Last updated on: 1994-12-02
Original language: en
Available languages: en