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Identification of the White-Mold affected Soybean fields by..:

, In: Proceedings of the International Conference on Research in Adaptive and Convergent Systems,

Suh, Sae-han ; Kim, Dong-youn ; Jhang, Ji-eun... - p. 104-109 , 2017

Link: https://dl.acm.org/doi/10.1145/3129676.3129703

RT 
T1 <cTitle>Proceedings of the International Conference on Research in Adaptive and Convergent Systems</cTitle>: T1 <Title>Identification of the White-Mold affected Soybean fields by using Multispectral Imageries, Spatial Autocorrelation and Support Vector Machine</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3129703&Exemplar=1&LAN=DE
				
A1 Suh, Sae-han
A1 Kim, Dong-youn
A1 Jhang, Ji-eun
A1 Byamukama, Emmanuel
A1 Hatfield, Gary
A1 Shin, Sung-Y.
PB ACM
YR 2017
K1 LandSat-8
K1 Moran's I
K1 Precision Agriculture (PA)
K1 Remote-Sensing (RS)
K1 Spatial Autocorrelation (SA)
K1 Spectral Vegetation Indices (SVI)
K1 Support Vector Machine (SVM)
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Applied computing
K1 Computers in other domains
K1 Agriculture
SP 104
OP 109
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3129676.3129703
DO https://dl.acm.org/doi/10.1145/3129676.3129703
SF ELIB - SuUB Bremen

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