20.500.12556/DiRROS-22649 N-Beats architecture for explainable forecasting of multi-dimensional poultry data The agricultural economy heavily relies on poultry production, making accurate forecasting of poultry data crucial for optimizing revenue, streamlining resource utilization, and maximizing productivity. This research introduces a novel application of the N-BEATS architecture for multi-dimensional poultry data forecasting with enhanced interpretability through an integrated Explainable AI (XAI) framework. Leveraging its advanced capabilities in time series modeling, N-BEATS is applied to predict multiple facets of poultry disease diagnostics using a multivariate dataset comprising key environmental parameters. The methodology empowers decision-making in poultry farm management by providing transparent and interpretable forecasts. Experimental results demonstrate that N-BEATS outperforms conventional deep learning models, including LSTM, GRU, RNN, and CNN, across various error metrics, achieving MAE of 0.172, RMSE of 0.313, MSLE of 0.042, R-squared of 0.034, and RMSLE of 0.204. The positive R-squared value indicates the model’s robustness against underfitting and overfitting, surpassing the performance of other models with negative R-squared values. This study establishes N-BEATS as a superior and interpretable solution for complex, multi-dimensional forecasting challenges in poultry production, with significant implications for enhancing predictive analytics in agriculture. poultry livestock forecasting epidemiology humidity veterinary diseases polynomials perutnina živina napovedovanje globoko učenje epidemiologija veterinarske bolezni polinomi true false true Public Library of Science Angleški jezik Slovenski jezik © 2025 Kaur et al. Neznano 2025-06-14 03:37:07 2025-09-09 10:31:35 2025-10-24 03:51:52 0000-00-00 00:00:00 2025 0 0 Soavtorji: Manik Rakhra, Nonita Sharma, Deepak Prashar, Leo Mrsic, Arfat Ahmad Khan, Seifedine Kadry; Nasl. z nasl. zaslona; Opis vira z dne 13. 6. 2024; str. 1-19 iss. 4 Vol. 20 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2025-04-24 519.87:004.92:636.52 1932-6203 10.1371/journal.pone.0320979 239347459 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0320979 1 51d9d38f-48af-11f0-bf0a-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=32822 RAZ_Kaur_Baljinder_2025.pdf RAZ_Kaur_Baljinder_2025.pdf 1 A6246FB7FE3238E1B645229D9D6799B3 0de0110c9afea331634c47457d1dfed608219c79dc13158ebe3c30d3679353a4 0d4c6221-8d57-11f0-9bb7-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=34853 Rudolfovo – Znanstveno in tehnološko središče Novo mesto 0 0 0