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An artificial neural network approach for non-invasive estimation of essential oil content and composition through considering drying processing factors: A case study in Mentha aquatica
Research article (Industrial Crops and Products, 2021) · cited 44× · AI/ML
An artificial neural network approach for non-invasive estimation of essential oil content and composition through considering drying processing factors: A case study in Mentha aquatica
Summary
An artificial neural network approach for non-invasive estimation of essential oil content and composition through considering drying processing factors: A case study in Mentha aquatica is a scholarly article[1].
Key Facts
An artificial neural network approach for non-invasive estimation of essential oil content and composition through considering drying processing factors: A case study in Mentha aquatica's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). An artificial neural network approach for non-invasive estimation of essential oil content and composition through considering drying processing factors: A case study in Mentha aquatica. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-artificial-neural-network-approach-for-non-invasive-estimation-of-essential-oil-content-and-composition-through-consi
MLA“An artificial neural network approach for non-invasive estimation of essential oil content and composition through considering drying processing factors: A case study in Mentha aquatica.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-artificial-neural-network-approach-for-non-invasive-estimation-of-essential-oil-content-and-composition-through-consi.
BibTeX@misc{4ortxyz_an-artificial-neural-network-approach-for-non-invasive-estimation-of-essential-oil-content-and-composition-through-consi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An artificial neural network approach for non-invasive estimation of essential oil content and composition through considering drying processing factors: A case study in Mentha aquatica}}, year = {2026}, url = {https://4ort.xyz/entity/an-artificial-neural-network-approach-for-non-invasive-estimation-of-essential-oil-content-and-composition-through-consi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An artificial neural network approach for non-invasive estimation of essential oil content and composition through considering drying processing factors: A case study in Mentha aquatica — https://4ort.xyz/entity/an-artificial-neural-network-approach-for-non-invasive-estimation-of-essential-oil-content-and-composition-through-consi (retrieved 2026-05-24)
