Proceedings :: International Society of Precision Agriculture

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Welch, M

Landivar, J.A

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Authors

Yang, C

Odvody, G.N

Fernandez, C.J

Landivar, J.A

Nichols, R.L

Trotter, M

Andersson, K

Welch, M

Chau, M

Frizzel, L

Schneider, D

Barwick, J.D

Trotter, M

Lamb, D.W

Dobos, R

Welch, M

Topics

Machine Vision / Multispectral & Hyperspectral Imaging Applications to Precision Agriculture

Proximal Sensing in Precision Agriculture

Precision Dairy and Livestock Management

Type

Poster

Oral

Year

2012

2016

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Authors

Filter results3 paper(s) found.
1. Evaluating Spectral Measures Derived From Airborne Multispectral Imagery for Detecting Cotton Root Rot Cotton root rot, caused by the soilborne fungus Phymatotrichopsis omnivore, is one of the most destructive plant diseases occurring... C. Yang, G.N. Odvody, C.J. Fernandez, J.A. Landivar, R.L. Nichols Download paper
2. Evaluating low-cost Lidar and Active Optical Sensors for pasture and forage biomass assessment Accurate and reliable assessment of pasture or forage biomass remains one of the key challenges for grazing industries. Livestock managers require accurate estimates of the grassland biomass available over their farm to enable optimal stocking rate decisions. This paper reports on our investigations into the potential application of affordable Lidar (Light Detection and Ranging) systems and Active Optical (reflectance) Sensors (AOS) to estimate pasture biomass. We evaluated the calibration accuracy... M. Trotter, K. Andersson, M. Welch, M. Chau, L. Frizzel, D. Schneider Download paper
3. Ear Deployed Accelerometer Behaviour Detection in Sheep An animal’s behaviour can be a clear indicator of their physiological and physical state. Therefore as resting, eating, walking and ruminating are the predominant daily activities of ruminant animals, monitoring these behaviours could provide valuable information for management decisions and individual animal health status. Traditional animal monitoring methods have relied on human labor to visually observe animals. Accelerometer technology offers the possibility of remotely monitoring animal... J.D. Barwick, M. Trotter, D.W. Lamb, R. Dobos, M. Welch

Filter results3 paper(s) found.

1. Evaluating Spectral Measures Derived From Airborne Multispectral Imagery for Detecting Cotton Root Rot

Cotton root rot, caused by the soilborne fungus Phymatotrichopsis omnivore, is one of the most destructive plant diseases occurring... C. Yang, G.N. Odvody, C.J. Fernandez, J.A. Landivar, R.L. Nichols

Download paper

2. Evaluating low-cost Lidar and Active Optical Sensors for pasture and forage biomass assessment

Accurate and reliable assessment of pasture or forage biomass remains one of the key challenges for grazing industries. Livestock managers require accurate estimates of the grassland biomass available over their farm to enable optimal stocking rate decisions. This paper reports on our investigations into the potential application of affordable Lidar (Light Detection and Ranging) systems and Active Optical (reflectance) Sensors (AOS) to estimate pasture biomass. We evaluated the calibration accuracy... M. Trotter, K. Andersson, M. Welch, M. Chau, L. Frizzel, D. Schneider

Download paper

3. Ear Deployed Accelerometer Behaviour Detection in Sheep

An animal’s behaviour can be a clear indicator of their physiological and physical state. Therefore as resting, eating, walking and ruminating are the predominant daily activities of ruminant animals, monitoring these behaviours could provide valuable information for management decisions and individual animal health status. Traditional animal monitoring methods have relied on human labor to visually observe animals. Accelerometer technology offers the possibility of remotely monitoring animal... J.D. Barwick, M. Trotter, D.W. Lamb, R. Dobos, M. Welch