Niedbała, G.; Wróbel, B.; Piekutowska, M.; Zielewicz, W.; Paszkiewicz-Jasińska, A.; Wojciechowski, T.; Niazian, M.
Application of Artificial Neural Networks Sensitivity Analysis for the Pre-Identification of Highly Significant Factors Influencing the Yield and Digestibility of Grassland Sward in the Climatic Conditions of Central Poland. Agronomy 2022, 12, 1133.
https://doi.org/10.3390/agronomy12051133
AMA Style
Niedbała G, Wróbel B, Piekutowska M, Zielewicz W, Paszkiewicz-Jasińska A, Wojciechowski T, Niazian M.
Application of Artificial Neural Networks Sensitivity Analysis for the Pre-Identification of Highly Significant Factors Influencing the Yield and Digestibility of Grassland Sward in the Climatic Conditions of Central Poland. Agronomy. 2022; 12(5):1133.
https://doi.org/10.3390/agronomy12051133
Chicago/Turabian Style
Niedbała, Gniewko, Barbara Wróbel, Magdalena Piekutowska, Waldemar Zielewicz, Anna Paszkiewicz-Jasińska, Tomasz Wojciechowski, and Mohsen Niazian.
2022. "Application of Artificial Neural Networks Sensitivity Analysis for the Pre-Identification of Highly Significant Factors Influencing the Yield and Digestibility of Grassland Sward in the Climatic Conditions of Central Poland" Agronomy 12, no. 5: 1133.
https://doi.org/10.3390/agronomy12051133
APA Style
Niedbała, G., Wróbel, B., Piekutowska, M., Zielewicz, W., Paszkiewicz-Jasińska, A., Wojciechowski, T., & Niazian, M.
(2022). Application of Artificial Neural Networks Sensitivity Analysis for the Pre-Identification of Highly Significant Factors Influencing the Yield and Digestibility of Grassland Sward in the Climatic Conditions of Central Poland. Agronomy, 12(5), 1133.
https://doi.org/10.3390/agronomy12051133
