From Climate to Crop: Unveiling the Impact of Agro-Climate Dataset on Rice Yield in Cotabato Province

The data was processed using ETL, and multivariate linear regression analysis was conducted to identify the agro-climates that significantly influence the production of irrigated and rainfed rice. The dataset provides information on various agro-climatic factors such as temperature, rainfall, solar radiation, and humidity, along with the production of irrigated and rainfed rice.

The dataset also includes explanatory factors that significantly influence the production of rice, which are presented in an Analytical Dashboard. The dataset can be used for predictive analytics research at the municipal level to provide more detailed insights into the agro-climates of different municipalities in Cotabato Province. It can also be used to distribute different varieties of rice that can withstand the effects of climate change to the municipalities of Cotabato.