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Machine Vision / Multispectral & Hyperspectral Imaging Applications to Precision Agriculture
Precision Management / Precision Conservation
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Authors
Alchanatis, V
Asido, S
Bonfil, D.J
Cohen, S
Cohen, Y
Ehsani, R
Fernandez, C.J
Hijazi, B
Jørgensen, R.N
Krüger, N
Landivar, J.A
Laursen, M.S
Lee, W
Levi, O
Li, H
Long, D.S
Midtiby, H.S
Mufradi, I
Nichols, R.L
Odvody, G.N
Sanaei, A
Wang, K
Yang, C
Yang, C
cointault, F
paindavoine, M
pieters, J
vangeyte, J
Topics
Machine Vision / Multispectral & Hyperspectral Imaging Applications to Precision Agriculture
Precision Management / Precision Conservation
Type
Poster
Oral
Year
2012
2008
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Filter results7 paper(s) found.

1. Spectral Angle Mapper (SAM) Based Citrus Greening Disease Detection Using Airborne Hyperspectral Imaging

Over the past two decades, hyperspectral (HS) imaging has provided remarkable performance in ground objects classification and disease identification, due to its high spectral resolution. In this paper, a novel method named ‘extended spectral angle mapping (ESAM)’ is proposed to detect citrus greening disease (Huanglongbing or HLB), which is a destructive disease of citrus. Firstly, Savitzky-Golay smoothing filter was applied to the raw image to remove spectral noise within the da... W. Lee, K. Wang, H. Li, R. Ehsani, C. Yang

2. A 3-D Stereovision Simulator for Centrifugal Fertilizer Granule Spreading

... J. Vangeyte, F. Cointault, M. Paindavoine, J. Pieters, B. Hijazi

3. Validation of Modicovi - Monocot and Dicot Coverage Ratio Vision Based Method for Real Time Estimation Canopy Coverage Ratio between Cereal Crops and Dicotyledon Weeds

... H.S. Midtiby, R.N. Jørgensen, N. Krüger, M.S. Laursen

4. Evaluating Spectral Measures Derived From Airborne Multispectral Imagery for Detecting Cotton Root Rot

Cotton root rot, caused by the soilborne fungus Phymatotrichopsis omnivore, is one of the most destructive plant diseases occurri... C. Yang, G.N. Odvody, C.J. Fernandez, J.A. Landivar, R.L. Nichols

5. A Method for Combining Spatial and Hyperspectral Information for Delineation of Homogenous Management Zones

Hyperspectral (HS) remote sensing is a constantly developing field. New remote sensing applications of different fields constantly appear. The possibility of acquisition information about an object without physical contact is spanning new opportunities in many fields and for precision agricultural in particular. These opportunities demand constant improvement and development of new analysis approaches and algorith... Y. Cohen, V. Alchanatis, O. Levi, S. Cohen

6. Precision Nitrogen Management Based on Nitrogen Removal in Rainfed Wheat

Growers of hard red spring wheat may capture price premiums for maximizing the protein concentration of their grain. Nitrogen (N) nutrition adequacy is crucial to achieving high grain protein concentration. The objective of this study was to determine the usefulness of N removal maps by comparing grain protein, yields, and dollar returns obtained from this precision N management approach with that from conventional uniform N management. Strip plot experiments were designed to compare spatiall... D.J. Bonfil, I. Mufradi, S. Asido, D.S. Long

7. Using Pricise Gps/gis Based Barley Yield Maps to Predict Site-specific Phosphorus Requirements

Three fundamental stages and technologies as main parts of a precision farming project should be considered precisely. These are access to actual multi- dimensional variability detail or variable description on farms, creating a suitable variable-rate technology, and finally providing a decision support system. Some results of a long term practical research conducted by the author in Upon-Tyne Newcastle University of UK for reliable yield monitoring and mapping were utilised to prepare this p... A. Sanaei