Quantitative Assessment of Brix in Grafted Melon Cultivars: A Machine Learning and Regression-Based Approach.

Ercan U, Sonmez I, Kabaş A, Kabas O, Calık Zyambo B, Gölükcü M, Paraschiv G

Open source

DOI
10.3390/foods13233858
Published
2024 Nov 29
Container
Foods (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/foods13233858,
  title = {Quantitative Assessment of Brix in Grafted Melon Cultivars: A Machine Learning and Regression-Based Approach.},
  author = {Ercan U and Sonmez I and Kabaş A and Kabas O and Calık Zyambo B and Gölükcü M and Paraschiv G},
  year = {2024},
  journal = {Foods (Basel, Switzerland)},
  doi = {10.3390/foods13233858},
  url = {https://doi.org/10.3390/foods13233858}
}

RIS

TY  - JOUR
TI  - Quantitative Assessment of Brix in Grafted Melon Cultivars: A Machine Learning and Regression-Based Approach.
AU  - Ercan U
AU  - Sonmez I
AU  - Kabaş A
AU  - Kabas O
AU  - Calık Zyambo B
AU  - Gölükcü M
AU  - Paraschiv G
PY  - 2024
JO  - Foods (Basel, Switzerland)
DO  - 10.3390/foods13233858
UR  - https://doi.org/10.3390/foods13233858
ER  - 

APA

U, E., I, S., A, K., O, K., B, C. Z., M, G., & G, P. (2024). Quantitative Assessment of Brix in Grafted Melon Cultivars: A Machine Learning and Regression-Based Approach.. Foods (Basel, Switzerland). https://doi.org/10.3390/foods13233858

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