Integrating phenotypic traits, multivariate statistics, and machine-learning models to predict yield in Himalayan kiwifruit (Actinidia deliciosa) orchards.
- DOI
- 10.1002/jsfa.70689
- Published
- 2026 Aug 30
- Container
- Journal of the science of food and agriculture
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/jsfa.70689,
title = {Integrating phenotypic traits, multivariate statistics, and machine-learning models to predict yield in Himalayan kiwifruit (Actinidia deliciosa) orchards.},
author = {Sharma S and Gupta RK and Rana VS and Sharma U},
year = {2026},
journal = {Journal of the science of food and agriculture},
doi = {10.1002/jsfa.70689},
url = {https://doi.org/10.1002/jsfa.70689}
}RIS
TY - JOUR TI - Integrating phenotypic traits, multivariate statistics, and machine-learning models to predict yield in Himalayan kiwifruit (Actinidia deliciosa) orchards. AU - Sharma S AU - Gupta RK AU - Rana VS AU - Sharma U PY - 2026 JO - Journal of the science of food and agriculture DO - 10.1002/jsfa.70689 UR - https://doi.org/10.1002/jsfa.70689 ER -
APA
S, S., RK, G., VS, R., & U, S. (2026). Integrating phenotypic traits, multivariate statistics, and machine-learning models to predict yield in Himalayan kiwifruit (Actinidia deliciosa) orchards.. Journal of the science of food and agriculture. https://doi.org/10.1002/jsfa.70689
Source records
- pubmed · retrieved 2026-09-26T20:16:40.412Z