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Whelan, B
Pietrzyk, P
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Authors
Whelan, B
Fajardo, M
Gilson, A
Meyer, L
Killer, A
Keil, F
Scholz, O
Kittemann, D
Noack, P
Pietrzyk, P
Paglia, C
Topics
Decision Support Systems
Precision Horticulture
Type
Oral
Year
2018
2024
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1. Optimising Nitrogen Use in Cereal Crops Using Site-Specific Management Classes and Crop Reflectance Sensors

The relative cost of Nitrogen (N) fertilisers in a cropping input budget, the 33% Nitrogen use efficiency (NUE) seen in global cereal grain production and the potential environmental costs of over-application are leading to changes in the application rates and timing of N fertiliser. Precision agriculture (PA) provides tools for producers to achieve greater synchrony between N supply and crop N demand. To help achieve these goals this research has explored the use of management classes derived... B. Whelan, M. Fajardo

2. Cherry Yield Forecast: Harvest Prediction for Individual Sweet Cherry Trees

Digitalization continues to transform the agricultural sector as a whole and also affects specific niches like horticulture. Particularly in fruit and wine production, the focus is on the application of sensor systems and data analysis aiming at automated detection of drought stress or pests in vineyards or orchards.  As part of the  “For5G” project, we are developing an end-to-end methodology for the creation of digital twins of fruit trees, with a strong focus... A. Gilson, L. Meyer, A. Killer, F. Keil, O. Scholz, D. Kittemann, P. Noack, P. Pietrzyk, C. Paglia