In vivo spectroscopy and machine learning for the early detection and classification of different stresses in apple trees
Summary
In vivo spectroscopy and machine learning for the early detection and classification of different stresses in apple trees is a scholarly article[1].
Key Facts
In vivo spectroscopy and machine learning for the early detection and classification of different stresses in apple trees's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). In vivo spectroscopy and machine learning for the early detection and classification of different stresses in apple trees. Retrieved May 24, 2026, from https://4ort.xyz/entity/in-vivo-spectroscopy-and-machine-learning-for-the-early-detection-and-classification-of-different-stresses-in-apple-tree
MLA“In vivo spectroscopy and machine learning for the early detection and classification of different stresses in apple trees.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/in-vivo-spectroscopy-and-machine-learning-for-the-early-detection-and-classification-of-different-stresses-in-apple-tree.
BibTeX@misc{4ortxyz_in-vivo-spectroscopy-and-machine-learning-for-the-early-detection-and-classification-of-different-stresses-in-apple-tree_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{In vivo spectroscopy and machine learning for the early detection and classification of different stresses in apple trees}}, year = {2026}, url = {https://4ort.xyz/entity/in-vivo-spectroscopy-and-machine-learning-for-the-early-detection-and-classification-of-different-stresses-in-apple-tree}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): In vivo spectroscopy and machine learning for the early detection and classification of different stresses in apple trees — https://4ort.xyz/entity/in-vivo-spectroscopy-and-machine-learning-for-the-early-detection-and-classification-of-different-stresses-in-apple-tree (retrieved 2026-05-24)
