Applying machine learning to investigate long‐term insect–plant interactions preserved on digitized herbarium specimens
Publication
, Journal Article
Meineke, EK; Tomasi, C; Yuan, S; Pryer, KM
Published in: Applications in plant sciences
2020
Duke Scholars
Published In
Applications in plant sciences
ISSN
2168-0450
Publication Date
2020
Volume
8
Issue
6
Start / End Page
e11369
Related Subject Headings
- 3004 Crop and pasture production
- 0703 Crop and Pasture Production
Citation
APA
Chicago
ICMJE
MLA
NLM
Meineke, E. K., Tomasi, C., Yuan, S., & Pryer, K. M. (2020). Applying machine learning to investigate long‐term insect–plant interactions preserved on digitized herbarium specimens. Applications in Plant Sciences, 8(6), e11369.
Meineke, E. K., C. Tomasi, S. Yuan, and K. M. Pryer. “Applying machine learning to investigate long‐term insect–plant interactions preserved on digitized herbarium specimens.” Applications in Plant Sciences 8, no. 6 (2020): e11369.
Meineke EK, Tomasi C, Yuan S, Pryer KM. Applying machine learning to investigate long‐term insect–plant interactions preserved on digitized herbarium specimens. Applications in plant sciences. 2020;8(6):e11369.
Meineke, E. K., et al. “Applying machine learning to investigate long‐term insect–plant interactions preserved on digitized herbarium specimens.” Applications in Plant Sciences, vol. 8, no. 6, 2020, p. e11369.
Meineke EK, Tomasi C, Yuan S, Pryer KM. Applying machine learning to investigate long‐term insect–plant interactions preserved on digitized herbarium specimens. Applications in plant sciences. 2020;8(6):e11369.
Published In
Applications in plant sciences
ISSN
2168-0450
Publication Date
2020
Volume
8
Issue
6
Start / End Page
e11369
Related Subject Headings
- 3004 Crop and pasture production
- 0703 Crop and Pasture Production