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

Jorge Enrique Chaparro, Jose Edinson Aedo, Nelson Barrera Lombana

Open source

DOI
10.3390/plants15142112
Published
2026-07-08
Container
Plants
Publisher
MDPI AG
Open access
unknown

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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

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