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Landivar-Scoot, J.L
Watkins, K
Schrenk, J
Sulyok, D
Elhaddad, A
Acevedo, E
Veum, K
Hennessy, P.J
Siliveru, K
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Authors
Ortega, R.A
Del Solar, D.E
Acevedo, E
Garcia, L
Elhaddad, A
Betz, A
Benny, H
Jens, M
Özyurtlu, M
Pflanz, M
Rachow-Autrum, T
Schischmanow, A
Scheele, M
Schrenk, J
Schrenk, L
Zude, M
Gebbers, R
Baffaut, C
Sudduth, K
Sadler, J
Kremer, R
Lerch, R
Kitchen, N
Veum, K
Veum, K
Sudduth, K
Kitchen, N
Rátonyi, T
Ragán, P
Sulyok, D
Nagy, J
Harsányi, E
Vántus, A
Csatári, N
Straw, C
Wyatt, B
Smith, A.P
Watkins, K
Hong, S
Floyd, W
Williams, D
Garza, C
Jansky, T
Hennessy, P.J
Esau, T.J
Schumann, A.W
Farooque, A.A
Zaman, Q.U
White, S.N
Vories, E
Veum, K
Sudduth, K
Armstrong, P.R
Pordesimo, L.O
Siliveru, K
Gerken, A.R
Serfa Juan, R.O
Fernandez, O
Bhandari, M
Landivar-Scoot, J.L
Eldefrawy, M
Zhao, L
Landivar, J
Topics
Spatial Variability in Crop, Soil and Natural Resources
Remote Sensing Applications in Precision Agriculture
Precision Horticulture
Precision Conservation Management
Proximal Sensing in Precision Agriculture
On Farm Experimentation with Site-Specific Technologies
Geospatial Data
Big Data, Data Mining and Deep Learning
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
Artificial Intelligence (AI) in Agriculture
Data Analytics for Production Ag
Type
Oral
Poster
Year
2010
2012
2014
2016
2018
2022
2024
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