חיפוש מתקדם
Pimstein, A., Jacob Blaustein Institute for Desert Research, Ben Gurion University of Negev, Sede-Boker Campus, Ben Gurion 84990, Israel
Bonfil, D.J., Agricultural Research Organization, Field Crops and Natural Resources Department, 85280 MP Negev 2, Israel
Mufradi, I., Agricultural Research Organization, Field Crops and Natural Resources Department, 85280 MP Negev 2, Israel
Karnieli, A., Jacob Blaustein Institute for Desert Research, Ben Gurion University of Negev, Sede-Boker Campus, Ben Gurion 84990, Israel
Harvesting the crop for forage or leaving it for grain is the main crossroad that wheat growers of semi-arid regions confront around heading time. A decision support system that is based on crop bio-physical status around heading is currently used for solving this dilemma. A spectral index that identifies spike emergence (heading) is needed by this decision support system when using remotely sensed data. It was observed that spike emergence coincides with a drop of the crop water content, which is expressed in a spectral response. A ratio-based narrowband index was able to identify whether the samples were before or after heading with 81% accuracy.
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הספר "אוצר וולקני"
אודות
תנאי שימוש
Spectral index for assessing heading timing of spring wheat grown under semi-arid conditions
Pimstein, A., Jacob Blaustein Institute for Desert Research, Ben Gurion University of Negev, Sede-Boker Campus, Ben Gurion 84990, Israel
Bonfil, D.J., Agricultural Research Organization, Field Crops and Natural Resources Department, 85280 MP Negev 2, Israel
Mufradi, I., Agricultural Research Organization, Field Crops and Natural Resources Department, 85280 MP Negev 2, Israel
Karnieli, A., Jacob Blaustein Institute for Desert Research, Ben Gurion University of Negev, Sede-Boker Campus, Ben Gurion 84990, Israel
Spectral index for assessing heading timing of spring wheat grown under semi-arid conditions
Harvesting the crop for forage or leaving it for grain is the main crossroad that wheat growers of semi-arid regions confront around heading time. A decision support system that is based on crop bio-physical status around heading is currently used for solving this dilemma. A spectral index that identifies spike emergence (heading) is needed by this decision support system when using remotely sensed data. It was observed that spike emergence coincides with a drop of the crop water content, which is expressed in a spectral response. A ratio-based narrowband index was able to identify whether the samples were before or after heading with 81% accuracy.
Scientific Publication
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