The present paper deals with proximal sensing technique applied on a drip irrigated tomato field. Among several indexes used, Transformed Soil Adjusted Vegetation Index (TSAVI) appeared the most effective to detect crop spatial variability. During vegetative growth, a spot crop area was exposed to excess soil water conditions from 78 days after transplanting (DAT). Plants yellowed and from 90 DAT started dying. At 45 and 60 DAT tomato field was almost uniform, either at a visual assessment or according to the Vegetation Index map. At 100 DAT, TSAVI identified clearly the spot area, demonstrating to be a good index for crop water management at fruit stage, since it showed a high significant correlation with yield.

Proximal sensing e indici vegetazionali per l’individuazione degli effetti dell’eccesso idrico su pomodoro da industria

MARINO, Stefano;ALVINO, Arturo
2013

Abstract

The present paper deals with proximal sensing technique applied on a drip irrigated tomato field. Among several indexes used, Transformed Soil Adjusted Vegetation Index (TSAVI) appeared the most effective to detect crop spatial variability. During vegetative growth, a spot crop area was exposed to excess soil water conditions from 78 days after transplanting (DAT). Plants yellowed and from 90 DAT started dying. At 45 and 60 DAT tomato field was almost uniform, either at a visual assessment or according to the Vegetation Index map. At 100 DAT, TSAVI identified clearly the spot area, demonstrating to be a good index for crop water management at fruit stage, since it showed a high significant correlation with yield.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11695/16900
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