Home ›
Entities
› academia
› Coupling machine learning and epidemiological modelling to characterise optimal fungicide doses when fungicide resistance is partial or quantitative
Coupling machine learning and epidemiological modelling to characterise optimal fungicide doses when fungicide resistance is partial or quantitative
Research article (Journal of The Royal Society Interface, 2023) · cited 10× · AI/ML
Coupling machine learning and epidemiological modelling to characterise optimal fungicide doses when fungicide resistance is partial or quantitative
Summary
Coupling machine learning and epidemiological modelling to characterise optimal fungicide doses when fungicide resistance is partial or quantitative is a scholarly article[1].
Key Facts
Coupling machine learning and epidemiological modelling to characterise optimal fungicide doses when fungicide resistance is partial or quantitative's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Coupling machine learning and epidemiological modelling to characterise optimal fungicide doses when fungicide resistance is partial or quantitative. Retrieved May 24, 2026, from https://4ort.xyz/entity/coupling-machine-learning-and-epidemiological-modelling-to-characterise-optimal-fungicide-doses-when-fungicide-resistanc
MLA“Coupling machine learning and epidemiological modelling to characterise optimal fungicide doses when fungicide resistance is partial or quantitative.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/coupling-machine-learning-and-epidemiological-modelling-to-characterise-optimal-fungicide-doses-when-fungicide-resistanc.
BibTeX@misc{4ortxyz_coupling-machine-learning-and-epidemiological-modelling-to-characterise-optimal-fungicide-doses-when-fungicide-resistanc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Coupling machine learning and epidemiological modelling to characterise optimal fungicide doses when fungicide resistance is partial or quantitative}}, year = {2026}, url = {https://4ort.xyz/entity/coupling-machine-learning-and-epidemiological-modelling-to-characterise-optimal-fungicide-doses-when-fungicide-resistanc}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Coupling machine learning and epidemiological modelling to characterise optimal fungicide doses when fungicide resistance is partial or quantitative — https://4ort.xyz/entity/coupling-machine-learning-and-epidemiological-modelling-to-characterise-optimal-fungicide-doses-when-fungicide-resistanc (retrieved 2026-05-24)