Proceedings :: International Society of Precision Agriculture

Proceedings

Find matching any: Reset

Hoffmann, C

Levow, G

» Add more authors

Add filter to result:

Authors

Zhang, H

Lan, Y

Westbrook, J

Suh, C

Hoffmann, C

Lacey, R

Donald, G.E

Trotter, M.G

Lamb, D.W

Levow, G

van Es, H.M

Topics

Sensor Application in Managing In-season Crop Variability

Precision Livestock Management

Type

Poster

Oral

Year

2010

Home » Authors » Results

Authors

Filter results2 paper(s) found.
1. Investigation Of Crop Varieties At Different Growth Stages Using Optical Sensor Data Cotton, soybean and sorghum are economically important crops in Texas. Knowing the growing status of crops at different stages of growth is crucial to apply site-specific management and increase crop yield for farmers. Field experiments were initiated to measure cotton, soybean and sorghum plants growth status and spatial variability through the whole growing cycle. A ground-based active optical sensor, Greenseeker®, was used to collect the Normalized Difference Vegetation Index (NDVI) data... H. Zhang, Y. Lan, J. Westbrook, C. Suh, C. Hoffmann, R. Lacey Download paper
2. Precision Livestock Management: An Example Of Pasture Monitoring In Eastern Australian Pastures Using Proximal And Remote Sensing Tools Pasture monitoring Australian rangelands by Remote Sensing G.E.Donald. CSIRO Livestock Industries, Locked Bag 1, Armidale NSW, 2350 Australia A series of spatial models and datasets were jointly developed to estimate pasture biomass as feed on offer (FOO®) and pasture growth rate (PGR®) in the south-west... G.E. Donald, M.G. Trotter, D.W. Lamb, G. Levow, H.M. Van es

Filter results2 paper(s) found.

1. Investigation Of Crop Varieties At Different Growth Stages Using Optical Sensor Data

Cotton, soybean and sorghum are economically important crops in Texas. Knowing the growing status of crops at different stages of growth is crucial to apply site-specific management and increase crop yield for farmers. Field experiments were initiated to measure cotton, soybean and sorghum plants growth status and spatial variability through the whole growing cycle. A ground-based active optical sensor, Greenseeker®, was used to collect the Normalized Difference Vegetation Index (NDVI) data... H. Zhang, Y. Lan, J. Westbrook, C. Suh, C. Hoffmann, R. Lacey

Download paper

2. Precision Livestock Management: An Example Of Pasture Monitoring In Eastern Australian Pastures Using Proximal And Remote Sensing Tools

Pasture monitoring Australian rangelands by Remote Sensing G.E.Donald. CSIRO Livestock Industries, Locked Bag 1, Armidale NSW, 2350 Australia A series of spatial models and datasets were jointly developed to estimate pasture biomass as feed on offer (FOO®) and pasture growth rate (PGR®) in the south-west... G.E. Donald, M.G. Trotter, D.W. Lamb, G. Levow, H.M. Van es