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Grafton, M.Q
Yilma, W
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Authors
Grafton, M.Q
McVeagh, P.J
Pullanagari, R.R
Yule, I.J
Siegfried, J
Khosla, R
Mandal, D
Yilma, W
Topics
Spatial Variability in Crop, Soil and Natural Resources
Applications of Unmanned Aerial Systems
Type
Oral
Year
2014
2022
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1. Exploiting The Variability In Pasture Production On New Zealand Hill Country.

New Zealand has about four million hectares in medium to steep hill country pasture to which granular solid fertiliser is applied by airplane.  On most New Zealand hill country properties where cultivation is not possible the only means of influencing pasture production yield is through the addition of fertilizers and paddock subdivision to control grazing and pasture growth rates. Pasture response to fertilizer varies in production zones within the farm which can be modelled... M.Q. Grafton, P.J. Mcveagh, R.R. Pullanagari, I.J. Yule

2. Enhancing Spatial Resolution of Maize Grain Yield Data

Grain yield data is frequently used for precision agriculture management purposes and as a parameter for evaluating agronomy experiments, but unexpected challenges sometimes interfere with harvest plans or cause total losses. The spatial detail of modern grain yield monitoring data is also limited by combine header width, which could be nearly 14 m in some crops.  Remote sensing data, such as multispectral imagery collected via satellite and unmanned aerial systems (UAS), could be used to... J. Siegfried, R. Khosla, D. Mandal, W. Yilma