Ramirez-Diaz, J.; Manunza, A.; de Oliveira, T.A.; Bobbo, T.; Nutini, F.; Boschetti, M.; De Iorio, M.G.; Pagnacco, G.; Polli, M.; Stella, A.;
et al. Combining Environmental Variables and Machine Learning Methods to Determine the Most Significant Factors Influencing Honey Production. Insects 2025, 16, 278.
https://doi.org/10.3390/insects16030278
AMA Style
Ramirez-Diaz J, Manunza A, de Oliveira TA, Bobbo T, Nutini F, Boschetti M, De Iorio MG, Pagnacco G, Polli M, Stella A,
et al. Combining Environmental Variables and Machine Learning Methods to Determine the Most Significant Factors Influencing Honey Production. Insects. 2025; 16(3):278.
https://doi.org/10.3390/insects16030278
Chicago/Turabian Style
Ramirez-Diaz, Johanna, Arianna Manunza, Tiago Almeida de Oliveira, Tania Bobbo, Francesco Nutini, Mirco Boschetti, Maria Grazia De Iorio, Giulio Pagnacco, Michele Polli, Alessandra Stella,
and et al. 2025. "Combining Environmental Variables and Machine Learning Methods to Determine the Most Significant Factors Influencing Honey Production" Insects 16, no. 3: 278.
https://doi.org/10.3390/insects16030278
APA Style
Ramirez-Diaz, J., Manunza, A., de Oliveira, T. A., Bobbo, T., Nutini, F., Boschetti, M., De Iorio, M. G., Pagnacco, G., Polli, M., Stella, A., & Minozzi, G.
(2025). Combining Environmental Variables and Machine Learning Methods to Determine the Most Significant Factors Influencing Honey Production. Insects, 16(3), 278.
https://doi.org/10.3390/insects16030278
