Plant Phenotyping using Probabilistic Topic Models: Uncovering the Hyperspectral Language of Plants
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Opinion: Smart farming is key to developing sustainable agriculture.Effect of Co-segregating Markers on High-Density Genetic Maps and Prediction of Map Expansion Using Machine Learning Algorithms.Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms.Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stemsA Novel Approach to Assess Salt Stress Tolerance in Wheat Using Hyperspectral Imaging
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Plant Phenotyping using Probabilistic Topic Models: Uncovering the Hyperspectral Language of Plants
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2016 nî lūn-bûn
@nan
2016 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մարտին հրատարակված գիտական հոդված
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2016年の論文
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2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Plant Phenotyping using Probab ...... perspectral Language of Plants
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Plant Phenotyping using Probab ...... perspectral Language of Plants
@en
Plant Phenotyping using Probab ...... perspectral Language of Plants
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type
label
Plant Phenotyping using Probab ...... perspectral Language of Plants
@ast
Plant Phenotyping using Probab ...... perspectral Language of Plants
@en
Plant Phenotyping using Probab ...... perspectral Language of Plants
@nl
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Plant Phenotyping using Probab ...... perspectral Language of Plants
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Plant Phenotyping using Probab ...... perspectral Language of Plants
@en
Plant Phenotyping using Probab ...... perspectral Language of Plants
@nl
P2093
P2860
P356
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P1476
Plant Phenotyping using Probab ...... perspectral Language of Plants
@en
P2093
Anne-Katrin Mahlein
Erich-Christian Oerke
Mirwaes Wahabzada
Ulrike Steiner
P2860
P2888
P356
10.1038/SREP22482
P407
P577
2016-03-09T00:00:00Z
P5875
P6179
1047930706