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

• Main Authors: Coronel, Anne Gabrielle L., Diaz, Khrystal May B., Velos, Earl Godfred V.
• Format: text
• Language: English
• Published: Animo Repository 2024
• Subjects: Climatic changes—Philippines; Rice > Yields > Philippines > Nueva Ecija; Rice > Yields > Philippines > Pampanga; Regression analysis; Agriculture—Forecasting; Neural networks (Computer science); Mathematics
• Online Access: 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
• Institution: De La Salle University

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...