Proceedings :: International Society of Precision Agriculture

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Scudiero, E

Hoffmann, W.C

Shapiro, C.A

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Authors

Jonjak, A.K

Adamchuk, V.I

Wortmann, C.S

Shapiro, C.A

Fergugson, R.B

Lan, Y

Hoffmann, W.C

Westbrook, J

Zaller, M

Lan, Y

Zhang, H

Yang, C

Martin, D

Lacey, R

Huang, Y

Hoffmann, W.C

Moulton, P

Huang, Y

Hoffmann, W.C

Lan, Y

Thomson, S.J

Fritz, B.K

Scudiero, E

Nugent, C.I

Ng, C

Jones, N

Azzam, T

Salunga, N.G

Lemus, S

Topics

Spatial Variability in Crop, Soil and Natural Resources

Modeling and Geo-statistics

Remote Sensing Applications in Precision Agriculture

Engineering Technologies and Advances

Education of Precision Agriculture Topics and Practices

Type

Oral

Poster

Year

2010

2024

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Filter results5 paper(s) found.
1. A Comparison Of Conventional And Sensor-based Lime Requirement Maps Successful variable-rate applications of agricultural inputs, such as lime, rely on quality of input data. Systematic soil sampling is... A.K. Jonjak, V.I. Adamchuk, C.S. Wortmann, C.A. Shapiro, R.B. Fergugson Download paper
2. 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
3. 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
4. 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
5. Cultivating Future Leaders in Sustainable Agriculture: Insights from the Digital Agriculture Fellowship Program at the University of California, Riverside Funded by USDA's National Institute of Food and Agriculture’s Sustainable Agricultural Systems Program and housed at the University of California, Riverside (UCR), the Digital Agriculture Fellowship (DAF) aims at equipping undergraduate students with the knowledge and experience necessary to meet the agricultural challenges posed by climate change and sustainability concerns. The program was established in 2020 and will be funded through 2026. Activities span over fifteen months for... E. Scudiero, C.I. Nugent, C. Ng, N. Jones, T. Azzam, N.G. Salunga, S. Lemus Download paper

Filter results5 paper(s) found.

1. A Comparison Of Conventional And Sensor-based Lime Requirement Maps

Successful variable-rate applications of agricultural inputs, such as lime, rely on quality of input data. Systematic soil sampling is... A.K. Jonjak, V.I. Adamchuk, C.S. Wortmann, C.A. Shapiro, R.B. Fergugson

Download paper

2. 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

3. 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

4. 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

5. Cultivating Future Leaders in Sustainable Agriculture: Insights from the Digital Agriculture Fellowship Program at the University of California, Riverside

Funded by USDA's National Institute of Food and Agriculture’s Sustainable Agricultural Systems Program and housed at the University of California, Riverside (UCR), the Digital Agriculture Fellowship (DAF) aims at equipping undergraduate students with the knowledge and experience necessary to meet the agricultural challenges posed by climate change and sustainability concerns. The program was established in 2020 and will be funded through 2026. Activities span over fifteen months for... E. Scudiero, C.I. Nugent, C. Ng, N. Jones, T. Azzam, N.G. Salunga, S. Lemus

Download paper