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Alheit, K.V
Metcalf, S
Orlov, V
Pérez Ruiz, M
Mahmood, S
Pfenning, J
Hoerfarter, R
Stadig, H
Remacre, A.Z
Yin, X
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Authors
Ruckelshausen, A
Alheit, K.V
Busemeyer, L
Klose, R
Linz, A
Moeller, K
Rahe, F
Thiel, M
Trautz, D
Weiss, U
Graeff, S
Pfenning, J
Claupein, W
Dhillon, R
Upadhyaya, S
Roach, J
Crawford, K
Lampinen, B
Metcalf, S
Rojo, F
Pérez Ruiz, M
Slaughter, D.C
Söderström, M
Stadig, H
Martinsson, J
Stenberg, M
Piikki, K
Larson, J.A
Stefanini, M
Lambert, D.M
Yin, X
Boyer, C.N
Varco, J.J
Scharf , P.C
Tubaña, B.S
Dunn, D
Savoy, H.J
Buschermohle, M.J
Tyler, D.D
Meron, M
Tsipris, J
Orlov, V
Alchnatis, V
Cohen, Y
Sanches, G.M
Magalhães, P.S
Franco, H.C
Remacre, A.Z
Hoerfarter, R
Karampoiki, M
Todman, L
Mahmood, S
Murdoch, A
Paraforos, D
Hammond, J
Ranieri, E
Topics
Sensor Application in Managing In-season Crop Variability
Precision Horticulture
Sensor Application in Managing In-season CropVariability
Engineering Technologies and Advances
Remote Sensing Applications in Precision Agriculture
Profitability, Sustainability and Adoption
Remote Sensing Application / Sensor Technology
Site-Specific Nutrient, Lime and Seed Management
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
Big Data, Data Mining and Deep Learning
Type
Oral
Year
2010
2014
2016
2008
2018
2022
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