Articles
POSSIBLE ROLE OF MULTISPECTRAL IMAGERY FOR THE DETECTION OF STRESS VECTORS IN APPLE REPLANT SITUATIONS
Article number
363_23
Pages
169 – 174
Language
Abstract
Infrared photography (IR) has been the most frequently used method for detecting plant stress.
This type of photography has several disadvantages that limit its usefulness.
We have overcome these limitations by adapting an airborne, multispectral digital imaging system, originally developed by NASA’s Space Remote Sensing Center, to image a wide variety of agricultural crops.
The system consists of three sensors in the aircraft that respond to reflectance in the green, red and near-infrared wavelengths.
Images are obtained after computer manipulations to register the bands and provide a vegetation index.
Resolution of the images are as low as 0.5 meters.
Images are then calibrated to give an initial determination of stressed areas.
These stressed areas are then ground-truthed and appropriate samples are analyzed in the laboratory to obtain precise data on the nature of the stress observed.
The field observations and the laboratory results are then maintained in a database which provides a historical account of stress vectors for an individual crop.
This historical database is a key tool in predicting the cause of stress.
This type of photography has several disadvantages that limit its usefulness.
We have overcome these limitations by adapting an airborne, multispectral digital imaging system, originally developed by NASA’s Space Remote Sensing Center, to image a wide variety of agricultural crops.
The system consists of three sensors in the aircraft that respond to reflectance in the green, red and near-infrared wavelengths.
Images are obtained after computer manipulations to register the bands and provide a vegetation index.
Resolution of the images are as low as 0.5 meters.
Images are then calibrated to give an initial determination of stressed areas.
These stressed areas are then ground-truthed and appropriate samples are analyzed in the laboratory to obtain precise data on the nature of the stress observed.
The field observations and the laboratory results are then maintained in a database which provides a historical account of stress vectors for an individual crop.
This historical database is a key tool in predicting the cause of stress.
Because our system can detect a wide variety of physical, horticultural, and pathological problems, it has promising potential for the detection of problem areas in apple replant situations.
Publication
Authors
O.K. Ribeiro, C.G. Crabtree, E.B. Henriksen
Keywords
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