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Methods of crop production forecasting in the EEC. Present and expected trends in crop production in Application of remote sensing to agricultural production forecasting.
  • Methods of crop production forecasting in the EEC. Present and expected trends in crop production in Application of remote sensing to agricultural production forecasting.
Possibilities offered by satellites in agricultural remote sensing in Application of remote sensing to agricultural production forecasting.
  • Possibilities offered by satellites in agricultural remote sensing in Application of remote sensing to agricultural production forecasting.
Ecophysiological fundamentals of plant production in Application of remote sensing to agricultural production forecasting.
  • Ecophysiological fundamentals of plant production in Application of remote sensing to agricultural production forecasting.
Remote detection of crop diseases in Application of remote sensing to agricultural production forecasting.
  • Remote detection of crop diseases in Application of remote sensing to agricultural production forecasting.
Climate-crop regression yield model: an appraisal in Application of remote sensing to agricultural production forecasting.
  • Climate-crop regression yield model: an appraisal in Application of remote sensing to agricultural production forecasting.
Thermal sensing of soil moisture, evaporation and crop yield in Application of remote sensing to agricultural production forecasting.
  • Thermal sensing of soil moisture, evaporation and crop yield in Application of remote sensing to agricultural production forecasting.
Agriculture and microwave remote sensing in Application of remote sensing to agricultural production forecasting.
  • Agriculture and microwave remote sensing in Application of remote sensing to agricultural production forecasting.
Remote sensing agroclimatological methods in Application of remote sensing to agricultural production forecasting.
  • Remote sensing agroclimatological methods in Application of remote sensing to agricultural production forecasting.
Present situation of agriculture in the developing world in Application of remote sensing to agricultural production forecasting.
  • Present situation of agriculture in the developing world in Application of remote sensing to agricultural production forecasting.
General results of a European remote sensing project (AGRESTE). Agronomic considerations and needs of society in Application of remote sensing to agricultural production forecasting.
  • General results of a European remote sensing project (AGRESTE). Agronomic considerations and needs of society in Application of remote sensing to agricultural production forecasting.
Operational yield modeling and meteorological data flow in Application of remote sensing to agricultural production forecasting.
  • Operational yield modeling and meteorological data flow in Application of remote sensing to agricultural production forecasting.
Bioclimatological aspects of crop production in Application of remote sensing to agricultural production forecasting.
  • Bioclimatological aspects of crop production in Application of remote sensing to agricultural production forecasting.
Future prospects of crop-weather models and use of remote sensing data in Application of remote sensing to agricultural production forecasting.
  • Future prospects of crop-weather models and use of remote sensing data in Application of remote sensing to agricultural production forecasting.
Water balance in crop-yield models in Application of remote sensing to agricultural production forecasting.
  • Water balance in crop-yield models in Application of remote sensing to agricultural production forecasting.
Economic benefits of improved crop information on wheat and all cereals for European countries in Application of remote sensing to agricultural production forecasting.
  • Economic benefits of improved crop information on wheat and all cereals for European countries in Application of remote sensing to agricultural production forecasting.
Simplified simulation models based on specified minimum data sets: the cropeval concept in Application of remote sensing to agricultural production forecasting.
  • Simplified simulation models based on specified minimum data sets: the cropeval concept in Application of remote sensing to agricultural production forecasting.
Fundamentals of remote-sensing. Relation between spectral signatures and physical properties of crops in Application of remote sensing to agricultural production forecasting.
  • Fundamentals of remote-sensing. Relation between spectral signatures and physical properties of crops in Application of remote sensing to agricultural production forecasting.
Crop-weather analysis models in Application of remote sensing to agricultural production forecasting.
  • Crop-weather analysis models in Application of remote sensing to agricultural production forecasting.