Abstract
Plant leaf colour is commonly used as an index for nutrient diagnosis. We have developed a low-cost diagnostic method that is easy to use to assess the nutrient status of plants, based on the estimation of chlorophyll content of leaves using a portable colour video camera and a personal computer. Relationships between chlorophyll content and various functions derived from red, green and blue wavelengths are examined. Although red-blue and green-blue wavelengths show the highest correlation with chlorophyll content under a limited range of meteorological conditions, the normalized difference (red-blue)/(red+blue) is the most applicable function which can use data collected under different meteorological conditions. The accuracy in estimating chlorophyll content from video images could be improved by correcting with solar radiation data. It is shown that, for practical purposes, the chlorophyll content of leaves can be estimated with sufficient accuracy using a portable video camera. Copyright 1998 Annals of Botany Company
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Claims 4
Claim · model-written summary
Red-blue and green-blue wavelength functions had the highest chlorophyll correlation under a limited range of meteorological conditions.
- Outcome
- correlation with chlorophyll contente0
- Direction
- higheste0
- Qualifier
- limited range of meteorological conditionse0
- Comparator
- red-blue and green-blue wavelengthse0
Not reportedTaxon
Verbatim
e0“red-blue and green-blue wavelengths show the highest correlation with chlorophyll content under a limited range of meteorological conditions”
Claim · model-written summary
The normalized difference red-blue over red+blue was the most applicable function across meteorological conditions.
Verbatim
e0“the normalized difference (red-blue)/(red+blue) is the most applicable function which can use data collected under different meteorological conditions”
Claim · model-written summary
Solar-radiation correction improved the accuracy of video-image estimates of chlorophyll content.
Verbatim
e0“The accuracy in estimating chlorophyll content from video images could be improved by correcting with solar radiation data”
Claim · model-written summary
A portable video camera estimated leaf chlorophyll content with sufficient practical accuracy.
- Organ / stage
- leavese0
- Outcome
- chlorophyll content of leavese0
- Direction
- sufficient accuracye0
- Value
- sufficient accuracye0
Not reportedTaxon
Verbatim
e0“the chlorophyll content of leaves can be estimated with sufficient accuracy using a portable video camera”