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Bodnár, K.B
Hu, Y
Van Donk, S
Richard, A
Huang, C
Nadiradze, K
Acquah, H.D
English, P.J
Fulton, J
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Authors
Shaver, T
Schmer, M
Irmak, S
Van Donk, S
Wienhold, B
Jin, V
Bereuter, A
Francis, D
Rudnick, D
Ward, N
Hendrickson, L
Ferguson, R.B
Adamchuk, V.I
Nadiradze, K
Wang, X
Hu, Y
Yi, Z
Bosompem, M
Kwarteng, J.A
Acquah, H.D
Thomson, S.J
DeFauw, S.L
English, P.J
Hanks, J.E
Fisher, D.K
Foster, P.N
Zimba, P.V
Pradalier, C
Richard, A
Perez, V
Van Couwenberghe, R
Benbihi, A
Durand, P
Bodnár, K.B
Nagy, J
Gombos, B
Colley III, R
Fulton, J
Douridas, N
Port, K
Colley III, R
Fulton, J
Virk, S
Hawkins, E
Colley III, R
Lin, Y
Fulton, J
Shearer, S
Lee, J
Fulton, J
Port, K
Colley III, R
Huang, C
Huang, C
Huang, C
Huang, C
Huang, C
Huang, C
Huang, C
Topics
Spatial Variability in Crop, Soil and Natural Resources
Food Security and Precision Agriculture
Profitability, Sustainability and Adoption
Profitability, Sustainability and Adoption
Remote Sensing Application / Sensor Technology
Geospatial Data
Smart Weather for Precision Agriculture
Big Data, Data Mining and Deep Learning
Site-Specific Nutrient, Lime and Seed Management
Decision Support Systems
Type
Poster
Oral
Year
2012
2014
2016
2008
2018
2025
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1. Correlations Between Meteorological Parameters and the Water Loss of Maize from Silking to Harvesting

The University of Debrecen provides outstanding conditions for the development of “Smart Weather for Precision Agriculture” programs. The reliability of research is provided by the Polyfactoral Long-term Field Experiments of Debrecen (hybrid x fertilisation x plant density x tillage x irrigation) established in 1983. Within this research program, it is possible to examine various crop cultures, cultivars and hybrids under changing natural, environmental and weather circumstances,... K.B. Bodnár, J. Nagy, B. Gombos

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