Forecasting rice yield with climate variables in Nueva Ecija and Pampanga using mixed-data sampling regression and artificial neural network methods

• المؤلفون الرئيسيون: Coronel, Anne Gabrielle L., Diaz, Khrystal May B., Velos, Earl Godfred V.
• التنسيق: text
• اللغة: English
• منشور في: Animo Repository 2024
• الموضوعات: Climatic changes—Philippines; Rice > Yields > Philippines > Nueva Ecija; Rice > Yields > Philippines > Pampanga; Regression analysis; Agriculture—Forecasting; Neural networks (Computer science); Mathematics
• الوصول للمادة أونلاين: https://animorepository.dlsu.edu.ph/etdb_math/41; https://animorepository.dlsu.edu.ph/context/etdb_math/article/1040/viewcontent/2024_Coronel_EtAl_Forecasting_rice_yield_with_climate_variables_in_Nueva_Ecija_and.pdf

Climate change induces significant long-term changes in weather conditions and patterns, causing damage to the agricultural sector. Over the past few years, more scientific evidence of weather-related agricultural damages in the Philippines has accumulated. Thus, this study aimed to determine the be...