Gli strumenti dell'agricoltura di precisione: le mappe di prescrizione per la concimazione


  • Sara Antognelli

Parole chiave:

Agricoltura di precisione, mappe di prescrizione, concimazione, immagini satellitari


Technologies for precision agriculture are spreading over
the agricultural world. They include different tools for
data gathering, forecasts, prescription, decision and actuation
of the decisions. To be effective, farmers should
be skilled to use them. The paper shows how, between
the several technologies, indices calculated from satellite
can be used to create useful prescription maps for optimizing
crop fertilization.

Riferimenti bibliografici

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Henebry, G. M., Viña, A., & Gitelson, A. A. (2004). The wide dynamic range vegetation index and its potential utility for gap analysis.

Gitelson, A. A. (2004). Wide dynamic range vegetation index for remote quantification of biophysical characteristics of vegetation. Journal of plant physiology, 161(2), 165-173.

Haboudane, D., Miller, J. R., Tremblay, N., Zarco-Tejada, P. J., & Dextraze, L. (2002). Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote sensing of environment, 81(2-3), 416-426.

Skakun, R. S., Wulder, M. A., & Franklin, S. E. (2003). Sensitivity of the thematic mapper enhanced wetness difference index to detect mountain pine beetle redattack damage. Remote Sensing of Environment, 86(4), 433-443.

Wang, L., & Qu, J. J. (2007). NMDI: A normalized multi"band drought index for monitoring soil and vegetation moisture with satellite remote sensing. Geophysical Research Letters, 34(20).




Come citare

Antognelli, S. (2021). Gli strumenti dell’agricoltura di precisione: le mappe di prescrizione per la concimazione. GEOmedia, 25(4). Recuperato da




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