Proceedings :: International Society of Precision Agriculture

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Inamassu, R.Y

Chau, M

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Authors

de Oliveira, R.P

Bernardi, A.C

Benites, V.D

Rabello, L.M

Inamassu, R.Y

Trotter, M

Andersson, K

Welch, M

Chau, M

Frizzel, L

Schneider, D

Topics

Spatial Variability in Crop, Soil and Natural Resources

Proximal Sensing in Precision Agriculture

Type

Poster

Oral

Year

2012

2016

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Filter results2 paper(s) found.
1. Spatial Variability Index Based On Soil Properties for Notill and Pasture Site-Specific Management in Brazil. Quantitative characterization of soil properties spatial variation has first been applied... R.P. De oliveira, A.C. Bernardi, V.D. Benites, L.M. Rabello, R.Y. Inamassu 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

Filter results2 paper(s) found.

1. Spatial Variability Index Based On Soil Properties for Notill and Pasture Site-Specific Management in Brazil.

Quantitative characterization of soil properties spatial variation has first been applied... R.P. De oliveira, A.C. Bernardi, V.D. Benites, L.M. Rabello, R.Y. Inamassu

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