Physiology-Driven Irrigation Scheduling in Ananas comosus via Hybrid Machine Learning: UAV-Based Phenotyping of Water-Related Traits Coupled with FAO-56 Soil Water Balance
- DOI
- 10.3390/plants15142112
- Published
- 2026-07-08
- Container
- Plants
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/plants15142112,
title = {Physiology-Driven Irrigation Scheduling in Ananas comosus via Hybrid Machine Learning: UAV-Based Phenotyping of Water-Related Traits Coupled with FAO-56 Soil Water Balance},
author = {Jorge Enrique Chaparro and Jose Edinson Aedo and Nelson Barrera Lombana},
year = {2026},
journal = {Plants},
doi = {10.3390/plants15142112},
url = {https://doi.org/10.3390/plants15142112}
}RIS
TY - JOUR TI - Physiology-Driven Irrigation Scheduling in Ananas comosus via Hybrid Machine Learning: UAV-Based Phenotyping of Water-Related Traits Coupled with FAO-56 Soil Water Balance AU - Jorge Enrique Chaparro AU - Jose Edinson Aedo AU - Nelson Barrera Lombana PY - 2026 JO - Plants DO - 10.3390/plants15142112 UR - https://doi.org/10.3390/plants15142112 ER -
APA
Chaparro, J. E., Aedo, J. E., & Lombana, N. B. (2026). Physiology-Driven Irrigation Scheduling in Ananas comosus via Hybrid Machine Learning: UAV-Based Phenotyping of Water-Related Traits Coupled with FAO-56 Soil Water Balance. Plants. https://doi.org/10.3390/plants15142112
Source records
- crossref · retrieved 2026-09-25T19:26:00.393Z