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Cendrero Mateo, M.P
Soerensen, M
MECHRI, M
Sher, M
De Michele, C
Stone, H
Mullen, R.W
Camberato, J.J
Shafri, H
Szabó, S
Gu, X
Hendrickson, L
Jia, M
Hackl, H
Shearer, S
Stevenson, M
Demattê, J.M
De Oliveira Moreira, F
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Authors
Liaghat, S
Mansor, S
Shafri, H
Meon, S
Ehsani, R
Azam, S
Noh, N
Baresel, P
Mistele, B
Yuncai, H
Schmidhalter, U
Hackl, H
Nino, P
Vanino, S
Lupia, F
Altobelli, F
Vuolo, F
Namdarian, I
De Michele, C
Ortiz, B.V
Vellidis, G
Balkcom, K
Stone, H
Fulton, J.P
vanSanten, E
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
Draganova, I
Yule, I
Stevenson, M
Dong, Y
Wang, Y
Song, X
Gu, X
Muller, O
Cendrero Mateo, M.P
Albrecht, H
Pinto, F
Mueller-Linow, M
Pieruschka, R
Schurr, U
Rascher, U
Schickling, A
Keller, B
Fontenelli, J.V
Amaral, L.R
Demattê, J.M
Magalhães, P.G
Sanches, G
Mullen, R.W
Phillips, S.B
Raun, W.R
Thomason, W.E
Bean, G.M
Kitchen, N.R
Camberato, J.J
Ferguson, R.B
Fernandez, F.G
Franzen, D.W
Laboski, C.A
Nafziger, E.D
Sawyer, J.E
Scharf, P.C
Milics, G
Szabó, S
Bűdi, K
Takács, A
Láng, V
Zsebo, S
Xu, X
Li, Z
Yang, G
Gu, X
Song, X
Yang, X
Feng, H
Gu, X
Wang, S
Yang, G
Xu, X
Colley III, R
Lin, Y
Fulton, J
Shearer, S
Fulton, J.P
Hawkins, E
Colley III, R
Port, K
Shearer, S
Klopfenstein, A
Rydahl, P
Boejer, O
Jensen, N
Hartmann, B
Jorgensen, R
Soerensen, M
Andersen, P
Paz, L
Nielsen, M.B
Fulton, J.P
Hawkins, E
Shearer, S
Klopfenstein, A
Hartschuh, J
Custer, S
Lu, J
Chen, Z
Miao, Y
Li, Y
Zhang, Y
Zhao, X
Jia, M
MECHRI, M
Alshihabi, O
Angar, H
Nouiri, I
Soderstrom, M
Persson, K
Phillips, S
Alahe, M
Kemeshi, J.O
Chang, Y
Won, K
Yang, X
Sher, M
Frimpong, K.A
Phillips, S
Aduramigba-Modupe, V
Fassinou Hotegni, N
MECHRI, M
Mishamo, M
Sogbedji, J.M
Hazzoumi, Z
Chikowo, R
Fodjo Kamdem, M
Balboa, G
Masnello, J.C
De Oliveira Moreira, F
Canal Filho, R
Da Silva, E.R
Molin, J.P
Topics
Precision Horticulture
Sensor Application in Managing In-season Crop Variability
Remote Sensing Applications in Precision Agriculture
Guidance, Robotics, Automation, and GPS Systems
Spatial Variability in Crop, Soil and Natural Resources
Precision Dairy and Livestock Management
Spatial Variability in Crop, Soil and Natural Resources
Precision Agriculture and Climate Change
Proximal Sensing in Precision Agriculture
Remote Sensing for Nitrogen Management
In-Season Nitrogen Management
Site-Specific Nutrient, Lime and Seed Management
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
On Farm Experimentation with Site-Specific Technologies
Precision Crop Protection
In-Season Nitrogen Management
In-Season Nitrogen Management
Edge Computing and Cloud Solutions
Extension or Outreach Education of Precision Agriculture
Demonstration
Type
Poster
Oral
Year
2012
2014
2016
2008
2018
2022
2024
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Filter results1 paper(s) found.

1. Early Detection of Oil Palm Fungal Disease Infestation Using A Mid-Infrared Spectroscopy Technique

Basal stem rot (BSR) caused by Ganoderma boninense is known as the most destructive disease of oil palm plantations in Southeast Asia. Ganoderma could potentially reduce the market share of palm oil for Malaysia. Currently Malaysia produces about 50% of the world’s supply of palm oil. Early, accurate, and non-destructive diagnosis of Ganoderma fungal infection is critical for management of this disease. Early disease management of Ganoderma could also prevent great losses in production and... S. Liaghat, S. Mansor, H. Shafri, S. Meon, R. Ehsani, S. Azam, N. Noh

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