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Welp, G
Pinto, F
Louis, J
Fulton, J
Lexow, T
Aliloo, J
Warren, J.G
Aikes Junior, J
Bao, Y
Mathew, J
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Authors
Zhang, R
Chen, L
Guo, J
Warren, J.G
Warren, J.G
Chen, N
Liu, F
Jiang, L
Feng, L
He, Y
Bao, Y
Muller, O
Cendrero Mateo, M.P
Albrecht, H
Pinto, F
Mueller-Linow, M
Pieruschka, R
Schurr, U
Rascher, U
Schickling, A
Keller, B
Gebbers, R
Dworak, V
Mahns, B
Weltzien, C
Büchele, D
Gornushkin, I
Mailwald, M
Ostermann, M
Rühlmann, M
Schmid, T
Maiwald, M
Sumpf, B
Rühlmann, J
Bourouah, M
Scheithauer, H
Heil, K
Heggemann, T
Leenen, M
Pätzold, S
Welp, G
Chudy, T
Mizgirev, A
Wagner, P
Beitz, T
Kumke, M
Riebe, D
Kersebaum, C
Wallor, E
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
Aikes Junior, J
Souza, E.G
Bazzi, C
Sobjak, R
Hachisuca, A
Gavioli, A
Betzek, N
Schenatto, K
Moreira, W
Mercante, E
Rodrigues, M
Das, A
Flores, P
Zhang , Z
Friskop, A
Mathew, J
Dhal, S
Louis, J
O'Sullivan, N
Gumero, J
Soetan, M
Kalafatis, S
Lusher, J
Mahanta, S
Aliloo, J
Abbasi, E
Karamidehkordi , E
Ghanbari Parmehr, E
Canavari, M
Vitali, G.-
Balboa, G
Tobaldo, B
Lexow, T
Luck, J.D
Topics
Engineering Technologies and Advances
Precision Crop Protection
Precision Agriculture and Climate Change
Precision Nutrient Management
Big Data, Data Mining and Deep Learning
Site-Specific Nutrient, Lime and Seed Management
Decision Support Systems
Decision Support Systems
Applications of Unmanned Aerial Systems
Drivers and Barriers to Adoption of Precision Ag Technologies or Digital Agriculture
On Farm Experimentation with Site-Specific Technologies
Type
Oral
Poster
Year
2010
2014
2016
2018
2022
2024
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1. Integrated Approach to Site-specific Soil Fertility Management

In precision agriculture the lack of affordable methods for mapping relevant soil attributes is a funda­mental problem. It restricts the development and application of advanced models and algorithms for decision making. The project “I4S - Integrated System for Site-Specific Soil Fertility Management” combines new sensing technologies with dynamic soil-crop models and decision support systems. Using sensors with different measurement principles improves the estimation of soil fertility... R. Gebbers, V. Dworak, B. Mahns, C. Weltzien, D. Büchele, I. Gornushkin, M. Mailwald, M. Ostermann, M. Rühlmann, T. Schmid, M. Maiwald, B. Sumpf, J. Rühlmann, M. Bourouah, H. Scheithauer, K. Heil, T. Heggemann, M. Leenen, S. Pätzold, G. Welp, T. Chudy, A. Mizgirev, P. Wagner, T. Beitz, M. Kumke, D. Riebe, C. Kersebaum, E. Wallor