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Blanke, M.M
PHILLIPS, S
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Authors
Damerow, L.M
Blanke, M.M
Zhou, R.R
Blanke, M.M
Damerow, L.M
Seehuber, C
PHILLIPS, S
Arnall, B
Maatougui, M
Topics
Precision Horticulture
Engineering Technologies and Advances
Proximal and Remote Sensing of Soils and Crops (including Phenotyping)
Type
Poster
Oral
Year
2012
2014
2024
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Filter results3 paper(s) found.

1. Recognition Algorithms for Detection of Apple Fruit in an Orchard for Early Yield Prediction

... L.M. Damerow, M.M. Blanke, R.R. Zhou

2. Precision Thinning Of Fruit Crops

L. Damerow, C. Seehuber and M. Blanke University of Bonn, Germany Correspondence: damerow@uni-bonn.de   Abstract for o r a l   Thinning is a pre-requisite in the majority of fruit crops worldwide in order to overcome or prevent alternate bearing (change of years with large and low yields) and to provide regular yields of high quality... M.M. Blanke, L. Damerow, C. Seehuber

3. The Evaluation of NDVI Response Index Consistency Using Proximal Sensors, UAV and Satellites

The Response Index NDVI (RINDVI) is described as the response of crops to additional nitrogen (N) fertilizer. It is calculated by dividing the NDVI of the high-N plot (N-rich strip) by the NDVI of the zero-N plot or farmer's practice where less pre-plant N was applied (Arnall and al., 2016). RI values are used to predict yield and monitor top dress N fertilization. Many research has been carried out to determine the difference... S. Phillips, B. Arnall, M. Maatougui