A review of machine learning approaches for predicting lettuce yield in hydroponic systems

Sabrina Sharmin, Md. Tazel Hossan, Mohammad Shorif Uddin

Open source

DOI
10.1016/j.atech.2025.100925
Published
08
Container
Smart Agricultural Technology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.atech.2025.100925,
  title = {A review of machine learning approaches for predicting lettuce yield in hydroponic systems},
  author = {Sabrina Sharmin and Md. Tazel Hossan and Mohammad Shorif Uddin},
  year = {2025},
  journal = {Smart Agricultural Technology},
  doi = {10.1016/j.atech.2025.100925},
  url = {https://doi.org/10.1016/j.atech.2025.100925}
}

RIS

TY  - JOUR
TI  - A review of machine learning approaches for predicting lettuce yield in hydroponic systems
AU  - Sabrina Sharmin
AU  - Md. Tazel Hossan
AU  - Mohammad Shorif Uddin
PY  - 2025
JO  - Smart Agricultural Technology
DO  - 10.1016/j.atech.2025.100925
UR  - https://doi.org/10.1016/j.atech.2025.100925
ER  - 

APA

Sharmin, S., Hossan, M. T., & Uddin, M. S. (2025). A review of machine learning approaches for predicting lettuce yield in hydroponic systems. Smart Agricultural Technology. https://doi.org/10.1016/j.atech.2025.100925

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