The perfect knowledge of yield before harvest has been a wish puzzling human being since
the beginning of agriculture because seasonal forecast of crop yield plays a critical role in …

Low resolution satellite imagery has been extensively used for crop monitoring and yield
forecasting for over 30 years and plays an important role in a growing number of operational …

We used data from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) in
association with county-level data from the United States Department of Agriculture (USDA) …

For the last four decades there has been sustained scientific interest in contemporary
environmental change in the Sahel (the southern fringe of the Sahara). It suffered several …

Grain-yield prediction using remotely sensed data have been intensively studied in wheat
and maize, but such information is limited in rice, barley, oats and soybeans. The present …

A method is developed to separate Normalised Difference Vegetation Index (NDVI) time
series data into contributions from woody (perennial) and herbaceous (annual) vegetation …

For thirty years, simple crop water balance models have been used by the early warning
community to monitor agricultural drought. These models estimate and accumulate actual …

Remote sensing data, crop modelling, and statistical methods are combined in an original
method to overcome current limitations of crop yield estimation. It is then tested for timely …

In the light of recent advances in spectral imaging technology, highly flexible modeling
methods must be developed to estimate various soil and crop parameters for precision …

In Morocco, no operational system actually exists for the early prediction of the grain yields
of wheat (Triticum aestivum L.). This study proposes empirical ordinary least squares …