Assessment of grapevine variety discrimination using stem hyperspectral data and AdaBoost of random weight neural networks

Research article (Applied Soft Computing, 2018) · cited 14× · AI/ML
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Assessment of grapevine variety discrimination using stem hyperspectral data and AdaBoost of random weight neural networks

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Assessment of grapevine variety discrimination using stem hyperspectral data and AdaBoost of random weight neural networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Assessment of grapevine variety discrimination using stem hyperspectral data and AdaBoost of random weight neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/assessment-of-grapevine-variety-discrimination-using-stem-hyperspectral-data-and-adaboost-of-random-weight-neural-networ
MLA “Assessment of grapevine variety discrimination using stem hyperspectral data and AdaBoost of random weight neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/assessment-of-grapevine-variety-discrimination-using-stem-hyperspectral-data-and-adaboost-of-random-weight-neural-networ.
BibTeX @misc{4ortxyz_assessment-of-grapevine-variety-discrimination-using-stem-hyperspectral-data-and-adaboost-of-random-weight-neural-networ_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Assessment of grapevine variety discrimination using stem hyperspectral data and AdaBoost of random weight neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/assessment-of-grapevine-variety-discrimination-using-stem-hyperspectral-data-and-adaboost-of-random-weight-neural-networ}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Assessment of grapevine variety discrimination using stem hyperspectral data and AdaBoost of random weight neural networks — https://4ort.xyz/entity/assessment-of-grapevine-variety-discrimination-using-stem-hyperspectral-data-and-adaboost-of-random-weight-neural-networ (retrieved 2026-05-24)

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