Proceedings :: International Society of Precision Agriculture

Proceedings

Find matching any: Reset

Johnson, A

Hoffmann, W.C

» Add more authors

Add filter to result:

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

Nowatzki, J

Bajwa, S

Roberts, D

Ossowski, M

Scheve, A

Johnson, A

Chaplin, Y

Topics

Engineering Technologies and Advances

Remote Sensing Applications in Precision Agriculture

Modeling and Geo-statistics

Unmanned Aerial Systems

Type

Poster

Oral

Year

2010

2016

Home » Authors » Results

Authors

Filter results4 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
4. Large-scale UAS Data Collection, Processing and Management for Field Crop Management North Dakota State University research and Extension personnel are collaborating with Elbit Systems of America to compare the usefulness and economics of imagery collected from a large unmanned aircraft systems (UAS), small UAS and satellite imagery. Project personnel are using a large UAS powered with an internal combustion engine to collect high-resolution imagery over 100,000 acres twice each month during the crop growing season. Four-band multispectral Imagery is also being collected twice... J. Nowatzki, S. Bajwa, D. Roberts, M. Ossowski, A. Scheve, A. Johnson, Y. Chaplin Download paper

Filter results4 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

4. Large-scale UAS Data Collection, Processing and Management for Field Crop Management

North Dakota State University research and Extension personnel are collaborating with Elbit Systems of America to compare the usefulness and economics of imagery collected from a large unmanned aircraft systems (UAS), small UAS and satellite imagery. Project personnel are using a large UAS powered with an internal combustion engine to collect high-resolution imagery over 100,000 acres twice each month during the crop growing season. Four-band multispectral Imagery is also being collected twice... J. Nowatzki, S. Bajwa, D. Roberts, M. Ossowski, A. Scheve, A. Johnson, Y. Chaplin

Download paper