Corpus ID: 58938118

REMOTELY SENSED ESTIMATION OF RICE NITROGEN CONCENTRATION FOR FORCING CROP GROWTH MODELS USO DI DATI TELERILEVATI PER LA STIMA DELLA CONCENTRAZIONE DI AZOTO PER IL FORCING DI MODELLI AGRONOMICI

@inproceedings{Stroppiana2006REMOTELYSE,
  title={REMOTELY SENSED ESTIMATION OF RICE NITROGEN CONCENTRATION FOR FORCING CROP GROWTH MODELS USO DI DATI TELERILEVATI PER LA STIMA DELLA CONCENTRAZIONE DI AZOTO PER IL FORCING DI MODELLI AGRONOMICI},
  author={D. Stroppiana and M. Boschetti and P. Brivio and S. Bocchi},
  year={2006}
}
Monitoring crop conditions and assessing nutrition requirements is fundamental for implementing sustainable agriculture. Crop models are powerful tools to predict plant status when proper input information are provided. Remote sensing techniques are a unique way to acquire information on vegetation conditions over large areas to be used as forcing variables within simulation models. A field experiment was carried out in Lombardia, Northern Italy, in order to evaluate the potential of… Expand

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