Proceedings :: International Society of Precision Agriculture

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Hendrickson, L

Krüger, N

Burke, C.R

Manfield , A

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Authors

Dela Rue, B.T

Kamphuis, C

Jago, J.G

Burke, C.R

Midtiby, H.S

Jørgensen, R.N

Krüger, N

Laursen, M.S

Shaver, T

Schmer, M

Irmak, S

Van Donk, S

Wienhold, B

Jin, V

Bereuter, A

Francis, D

Rudnick, D

Ward, N

Hendrickson, L

Ferguson, R.B

Adamchuk, V.I

Nawar, S.M

Mouazen, A.M

George, D

Manfield , A

Topics

Precision Dairy and Livestock Management

Machine Vision / Multispectral & Hyperspectral Imaging Applications to Precision Agriculture

Spatial Variability in Crop, Soil and Natural Resources

Proximal Sensing in Precision Agriculture

Type

Poster

Oral

Year

2012

2016

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Filter results4 paper(s) found.
1. Field Evaluation of Automated Estrus Detection Systems - Meeting Farmers' Expectation Automated systems for oestrus detection are commonly marketed as a suitable, or in some cases, a higher performing alternative to visual observation. Farmers, particularly those with larger herds relying on less experienced staff, view the perceived benefits of automated systems as both economic and physical, with expectations of improved oestrus detection efficiency with lower labour input. There is little evidence-based information available on the field performance of these systems to... B.T. Dela rue, C. Kamphuis, J.G. Jago, C.R. Burke Download paper
2. 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 Download paper
3. Landscape Influences on Soil Nitrogen Supply and Water Holding Capacity for Irrigated Corn ... T. Shaver, M. Schmer, S. Irmak, S. Van donk, B. Wienhold, V. Jin, A. Bereuter, D. Francis, D. Rudnick, N. Ward, L. Hendrickson, R. Ferguson, V.I. Adamchuk Download paper
4. Comparing Predictive Performance of Near Infrared Spectroscopy at a Field, Regional, National and Continental Scales by Using Spiking and Data Mining Techniques The development of accurate visible and near infrared (vis-NIR) spectroscopy calibration models for selected soil properties is a crucial step for variable rate application in precision agriculture. The objective of the present study was to compare the prediction performance of vis-NIR spectroscopy at local, regional, national and continental scales using data mining techniques including spiking. Fresh soil samples collected from farms in the UK, Czech Republic, Germany, Denmark and the Netherlands... S.M. Nawar, A.M. Mouazen, D. George, A. Manfield Download paper

Filter results4 paper(s) found.

1. Field Evaluation of Automated Estrus Detection Systems - Meeting Farmers' Expectation

Automated systems for oestrus detection are commonly marketed as a suitable, or in some cases, a higher performing alternative to visual observation. Farmers, particularly those with larger herds relying on less experienced staff, view the perceived benefits of automated systems as both economic and physical, with expectations of improved oestrus detection efficiency with lower labour input. There is little evidence-based information available on the field performance of these systems to... B.T. Dela rue, C. Kamphuis, J.G. Jago, C.R. Burke

Download paper

2. 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

Download paper

3. Landscape Influences on Soil Nitrogen Supply and Water Holding Capacity for Irrigated Corn

... T. Shaver, M. Schmer, S. Irmak, S. Van donk, B. Wienhold, V. Jin, A. Bereuter, D. Francis, D. Rudnick, N. Ward, L. Hendrickson, R. Ferguson, V.I. Adamchuk

Download paper

4. Comparing Predictive Performance of Near Infrared Spectroscopy at a Field, Regional, National and Continental Scales by Using Spiking and Data Mining Techniques

The development of accurate visible and near infrared (vis-NIR) spectroscopy calibration models for selected soil properties is a crucial step for variable rate application in precision agriculture. The objective of the present study was to compare the prediction performance of vis-NIR spectroscopy at local, regional, national and continental scales using data mining techniques including spiking. Fresh soil samples collected from farms in the UK, Czech Republic, Germany, Denmark and the Netherlands... S.M. Nawar, A.M. Mouazen, D. George, A. Manfield

Download paper