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Lamb, D.W
Esau, T.J
Costa, O.P
Czarnecki, J
Pätzold, S
Sadeghi, S
Emmi, L
Liu, X
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Authors
Zaman, Q
Chang, Y
Farooque, A.A
Schumann, A
Percival, D
Cheema, M
Esau, T.J
Zaman, Q
Esau, T.J
Farooque, A.A
Schumann, A.W
Percival, D.C
Chang, Y.K
Farooque, A.A
Zaman, Q.U
Groulx, D
Schumann, A.W
Esau, T.J
Chang, Y.K
Zaman, Q
Schumann, A.W
Percival, D.C
Esau, T.J
Read, S.M
Farooque, A.A
Zaman, Q
Schumann, A.W
Percival, D.C
Esau, T.J
Stauffer, T
Stanley, J.S
Lamb, D.W
Trotter, M.G
Rahman, M.M
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
Ashrafi, Z.Y
Alizadeh, H.M
Sadeghi, S
Liu, X
Cao, Q
Tian, Y
Zhu, Y
Zhang, Z
Cao, W
Li, S
Cao, Q
Liu, X
Tian, Y
Zhu, Y
Leenen, M
Pätzold, S
Heggemann, T
Welp, G
Pätzold, S
Heggemann, T
Leenen, M
Koszinski, S
Schmidt, K
Welp, G
Esau, T.J
Farooque, A.A
Abbas, F
Ali, U
Esau, T.J
Farooque, A
Zaman, Q
Hennessy, P.J
Esau, T.J
Schumann, A.W
Farooque, A.A
Zaman, Q.U
White, S.N
Canavari, M
Lattanzi, P
Vitali, G
Emmi, L
Czarnecki, J
Brooks, J.P
Reeks, M.C
Hu, J
Felipe dos Santos, A
Silva, J.E
Costa, O.P
Inácio , F.D
Oliveira, R
Silva, W
Lacerda, L
Orlando Costa Barboza, T
Muller, I
Czarnecki, J
Li, M
Smith, B.K
Zaman, Q.U
Farooque, A
Jamei, M
Esau, T.J
Topics
Engineering Technologies and Advances
Spatial Variability in Crop, Soil and Natural Resources
Engineering Technologies and Advances
Spatial Variability in Crop, Soil and Natural Resources
Remote Sensing Applications in Precision Agriculture
Precision Nutrient Management
Applications of Unmanned Aerial Systems
In-Season Nitrogen Management
Site-Specific Nutrient, Lime and Seed Management
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
Precision Horticulture
Decision Support Systems
Big Data, Data Mining and Deep Learning
Factors Driving Adoption
Land Improvement and Conservation Practices
Drone Spraying
Proximal and Remote Sensing of Soils and Crops (including Phenotyping)
Big Data, Data Mining and Deep Learning
Type
Poster
Oral
Year
2012
2010
2014
2016
2008
2018
2022
2024
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1. Rapid Acquisition of Site Specific Lime Requirement with Mid-Infrared Spectroscopy

In Germany, the lime requirement of arable topsoils is derived from the organic matter content, clay content, and pH(CaCl2). For this purpose, it is common practice to determine the lime requirement of a field size up to three hectares from only one composite soil sample, whereby site heterogeneity is regularly not taken into account. To consider site heterogeneity, a measurement technique is required which allows a rapid and high resolution data acquisition. Mid-infrared... M. Leenen, S. Pätzold, T. Heggemann, G. Welp

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