Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Variation law and prediction model to determine the moisture content in tea during hot air drying. Retrieved May 24, 2026, from https://4ort.xyz/entity/variation-law-and-prediction-model-to-determine-the-moisture-content-in-tea-during-hot-air-drying
MLA“Variation law and prediction model to determine the moisture content in tea during hot air drying.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/variation-law-and-prediction-model-to-determine-the-moisture-content-in-tea-during-hot-air-drying.
BibTeX@misc{4ortxyz_variation-law-and-prediction-model-to-determine-the-moisture-content-in-tea-during-hot-air-drying_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Variation law and prediction model to determine the moisture content in tea during hot air drying}}, year = {2026}, url = {https://4ort.xyz/entity/variation-law-and-prediction-model-to-determine-the-moisture-content-in-tea-during-hot-air-drying}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Variation law and prediction model to determine the moisture content in tea during hot air drying — https://4ort.xyz/entity/variation-law-and-prediction-model-to-determine-the-moisture-content-in-tea-during-hot-air-drying (retrieved 2026-05-24)
