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Whiting, M

Shaver, T

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Smart, D

Whiting, M

Stockert, C

Westfall, D

Khosla, R

Shaver, T

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Type

Oral

Year

2007

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Filter results2 paper(s) found.
1. Remote Sensing of Grape K Deficiency Symptoms Using Leaf Level Hyperspectral Reflectance Potassium (K) is an important nutrient for grape because it sustains charge neutrality during organic acid transport, is a major ion involved in osmoregulation and stomatal function and contributes to pH status in grapes and wines. We assessed the utility of a number of vegetation indexes for detection of K deficiency symptoms in a commercial vineyard of Vitis vinifera cv Pinot Noir. A hyperspectral field spectroradiometer for the 350-2500 nm spectral region was used to measure light reflectance... D. Smart, M. Whiting, C. Stockert Download paper
2. Remote Sensing of Corn N Status with Active Sensors Determining in-season corn (Zea mays L.) nitrogen (N) variability has been a research focus of agronomists for quite some time. One of the methods currently available to determine N variability in corn is remote sensing. Studies have shown that remotely sensed imagery can detect N variability in corn. However, this method can have some limitations, such as the timeliness in which this imagery can be acquired. Hand-held active remote sensing devices may overcome these limitations.... D. Westfall, R. Khosla, T. Shaver Download paper

Filter results2 paper(s) found.

1. Remote Sensing of Grape K Deficiency Symptoms Using Leaf Level Hyperspectral Reflectance

Potassium (K) is an important nutrient for grape because it sustains charge neutrality during organic acid transport, is a major ion involved in osmoregulation and stomatal function and contributes to pH status in grapes and wines. We assessed the utility of a number of vegetation indexes for detection of K deficiency symptoms in a commercial vineyard of Vitis vinifera cv Pinot Noir. A hyperspectral field spectroradiometer for the 350-2500 nm spectral region was used to measure light reflectance... D. Smart, M. Whiting, C. Stockert

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2. Remote Sensing of Corn N Status with Active Sensors

Determining in-season corn (Zea mays L.) nitrogen (N) variability has been a research focus of agronomists for quite some time. One of the methods currently available to determine N variability in corn is remote sensing. Studies have shown that remotely sensed imagery can detect N variability in corn. However, this method can have some limitations, such as the timeliness in which this imagery can be acquired. Hand-held active remote sensing devices may overcome these limitations.... D. Westfall, R. Khosla, T. Shaver

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