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Conley, M.M
Westerdijk, K
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Authors
Feher, T
Kocks, C
Kempenaar, C
Westerdijk, K
Thorp, K.R
White, J.W
Conley, M.M
Mon, J
Bronson, K.F
Topics
Spatial Variability in Crop, Soil and Natural Resources
Proximal Sensing in Precision Agriculture
Type
Oral
Year
2014
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1. First Results Of Development Of A Smart Farm In The Netherlands

GNSS technology has been introduced on about 20 % of the Dutch arable farms in The Netherlands today. Use of sensor technology is also slowly but gradually being adopted by farmers, providing them large amounts of digital data on soil, crop and climate conditions. Typical data are spatial variation in soil organic matter, crop biomass, crop yield, and presence of pests and diseases. We still have to make major steps to use all this data in a way that agriculture becomes more sustainable. We... T. Feher, C. Kocks, C. Kempenaar, K. Westerdijk

2. Use Of Active Radiometers To Estimate Biomass, Leaf Area Index, And Plant Height In Cotton

Active radiometers have been tested extensively as tools to assess in-season nitrogen (N) status of crops like wheat (Triticum aestivum), corn (Zea mays), and cotton (Gossypium hirsutum).  Fewer studies target in-season plant growth parameters such as biomass, plant height or leaf area index (LAI).  Uses of this plant data include simulation modeling, total N uptake measurements, evapotranspiration (ET) estimates and irrigation... K.R. Thorp, J.W. White, M.M. Conley, J. Mon, K.F. Bronson