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Hoffmann, W.C

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Authors

Huang, Y

Hoffmann, W.C

Lan, Y

Thomson, S.J

Fritz, B.K

Lan, Y

Zhang, H

Yang, C

Martin, D

Lacey, R

Huang, Y

Hoffmann, W.C

Moulton, P

Lan, Y

Hoffmann, W.C

Westbrook, J

Zaller, M

Topics

Engineering Technologies and Advances

Remote Sensing Applications in Precision Agriculture

Modeling and Geo-statistics

Type

Poster

Year

2010

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Filter results3 paper(s) found.
1. Development Of Unmanned Aerial Vehicles For Site-specific Crop Production Management ... Y. Huang, W.C. Hoffmann, Y. Lan, S.J. Thomson, B.K. Fritz 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 synthesizing... Y. Lan, H. Zhang, C. Yang, D. Martin, R. Lacey, Y. Huang, W.C. Hoffmann, P. Moulton
3. Development Of A Decision Support System For Precision Areawide Pest Management In Cotton Production Crop models simulate growth and development, and provide relevant information for the routine management of the crop. The use of crop models on large areas for diagnosing crop growing conditions or predicting crop production is hampered by the lack of sufficient spatial information about model inputs. Integrating crop models with other information technologies such as geographic information systems (GIS), variable rate technology, remote sensing, and global positioning... Y. Lan, W.C. Hoffmann, J. Westbrook, M. Zaller

Filter results3 paper(s) found.

1. Development Of Unmanned Aerial Vehicles For Site-specific Crop Production Management

... Y. Huang, W.C. Hoffmann, Y. Lan, S.J. Thomson, B.K. Fritz

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 synthesizing... Y. Lan, H. Zhang, C. Yang, D. Martin, R. Lacey, Y. Huang, W.C. Hoffmann, P. Moulton

3. Development Of A Decision Support System For Precision Areawide Pest Management In Cotton Production

Crop models simulate growth and development, and provide relevant information for the routine management of the crop. The use of crop models on large areas for diagnosing crop growing conditions or predicting crop production is hampered by the lack of sufficient spatial information about model inputs. Integrating crop models with other information technologies such as geographic information systems (GIS), variable rate technology, remote sensing, and global positioning... Y. Lan, W.C. Hoffmann, J. Westbrook, M. Zaller