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Remote Sensing Applications in Precision Agriculture

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Authors

Aguilar, J

Ahamed, T

Alchanatis, V

Amakor, X

Arriaza, O.E

Bajwa, S.G

Balasundram, S.K

Barnes, W

Beck, D.L

Bedard, F

Bonfil, D.J

Caballero-Novella, J.J

Cardon, G.E

Castillejo-Gonz, I

Clay, D.E

Clay, S.A

Cohen, Y

D, M.E

Dobbins, R

Dobers, S.E

Doubledee, M

Elhaddad, A

Garc, A

Garcia, L

Garcia-Torres, L

Gitelson, A.A

Gomez-Candon, D

Gomez-Casero, M

Gozdowski, D

Hawks, A

Herrmann, I

Hoffmann, W.C

Holland, K.H

Hongo, C

Huang, W

Huang, Y

Jacobson, A.R

Jiang, Y

Jurado-Exp, M

Karnieli, A

Kim, H

Lacey, R

Lan, Y

Liaghat, S

Long, D.S

Lopez-Granados, F

Maidl, F

Martin, D

Melnitchouck, A

Moulton, P

Niwa, K

Olsen, D.R

Ortiz, B

Pantel, M

Pe, J.M

Perret, J.S

Pimstein, A

Prassack, L

Reddy, K

Reese, C.L

Reichert, G

Rupe, J.C

Samborski, S.M

Schepers, J

Shahinian, M

Shapira, U

Smith, J

Streeter, C.R

Strenner, M

Thomson, S.J

Tian, L

Ting, K

Xiong, Y

Yang, C

Zhang, H

Zhang, X

Zhang, Y

Zhao, B

Zhao, C

Zia, S

kulkarni, S.S

Topics

Remote Sensing Applications in Precision Agriculture

Type

Oral

Poster

Year

2010

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Filter results2 paper(s) found.
1. Determination Of Crop Injury From Aerial Application Of Glyphosate Using Vegetation Indices And Geostatistics Injury to crops caused by off-target drift of glyphosate can seriously reduce growth and yield, and is of great concern to farmers and aerial applicators. Determining an indirect method for assessing the levels and extent of crop injury could support management decisions. The objectives of this study were to evaluate multiple vegetation indices (VIs) as surrogate variables for glyphosate injury identification and to evaluate the combined use of Geostatistical methods and the VIs to asse... B. Ortiz, S.J. Thomson, Y. Huang, K. Reddy Download paper
2. Multisensor Data Fusion Of Remotely Sensed Imagery For Crop Field Mapping A wide variety of remote sensing data from airborne hyperspectral and multispectral images is available for site-specific management in agricultural application and production. Aerial imaging system may offer less expensive and high spatial resolution imagery with Near Infra-Red, Red, Green and Blue spectral wavebands. Hyperspectral sensor provides hundreds of spectral bands. Multisensor data fusion provides an effective paradigm for remote sensing applications by sy... Y. Lan, H. Zhang, C. Yang, D. Martin, R. Lacey, Y. Huang, W.C. Hoffmann, P. Moulton

Filter results2 paper(s) found.

1. Determination Of Crop Injury From Aerial Application Of Glyphosate Using Vegetation Indices And Geostatistics

Injury to crops caused by off-target drift of glyphosate can seriously reduce growth and yield, and is of great concern to farmers and aerial applicators. Determining an indirect method for assessing the levels and extent of crop injury could support management decisions. The objectives of this study were to evaluate multiple vegetation indices (VIs) as surrogate variables for glyphosate injury identification and to evaluate the combined use of Geostatistical methods and the VIs to asse... B. Ortiz, S.J. Thomson, Y. Huang, K. Reddy

Download paper

2. Multisensor Data Fusion Of Remotely Sensed Imagery For Crop Field Mapping

A wide variety of remote sensing data from airborne hyperspectral and multispectral images is available for site-specific management in agricultural application and production. Aerial imaging system may offer less expensive and high spatial resolution imagery with Near Infra-Red, Red, Green and Blue spectral wavebands. Hyperspectral sensor provides hundreds of spectral bands. Multisensor data fusion provides an effective paradigm for remote sensing applications by sy... Y. Lan, H. Zhang, C. Yang, D. Martin, R. Lacey, Y. Huang, W.C. Hoffmann, P. Moulton