[HTML][HTML] Crop yield prediction using multi sensors remote sensing
Pre-harvest prediction of a crop yield may prevent a disastrous situation and help decision-
makers to apply more reliable and accurate strategies regarding food security. Remote
sensing has numerous returns in the area of crop monitoring and yield prediction which are
closely related to differences in soil, climate, and any biophysical and biochemical changes.
Different remote techniques could be used for crop monitoring and yield prediction including
multi and hyper spectral data, radar and lidar imagery. This study reviews the potentialities …
makers to apply more reliable and accurate strategies regarding food security. Remote
sensing has numerous returns in the area of crop monitoring and yield prediction which are
closely related to differences in soil, climate, and any biophysical and biochemical changes.
Different remote techniques could be used for crop monitoring and yield prediction including
multi and hyper spectral data, radar and lidar imagery. This study reviews the potentialities …
[PDF][PDF] Crop Yield Prediction Using Multi Sensors Remote Sensing (Review
abstract Pre-harvest prediction of a crop yield may prevent a disastrous situation and help
decision-makers to apply more reliable and accurate strategies regarding food security.
Remote sensing has numerous returns in the area of crop monitoring and yield prediction
which are closely related to differences in soil, climate, and any biophysical and biochemical
changes. Different remote techniques could be used for crop monitoring and yield prediction
including multi and hyper spectral data, radar and lidar imagery. This study reviews the …
decision-makers to apply more reliable and accurate strategies regarding food security.
Remote sensing has numerous returns in the area of crop monitoring and yield prediction
which are closely related to differences in soil, climate, and any biophysical and biochemical
changes. Different remote techniques could be used for crop monitoring and yield prediction
including multi and hyper spectral data, radar and lidar imagery. This study reviews the …
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