Rafael J. Padre, Gerlie T. Soriano, Pomy A. Viloria
This study demonstrated that rainfall probability analysis for cropping pattern and farm operations scheduling was projected to have a positive impact on farm productivity and income. It analyzed the probability of rainfall for farming operations scheduling and cropping systems selection. A thirty (30) year rainfall data from year 1986 to year 2016 was carried out in the analysis. The frequency curve was established and the goodness of fit of the rainfall data was tested thru Log Normal Distribution Method.
Result showed that the magnitude of weekly rainfall at 80% probability of occurrence was highest on the month of August with 24.6 mm and lowest on the month of February with 1 mm weekly rainfall. Based on the results, the best designed cropping patterns in terms of income benefit projected to be those with vegetable crops that provide relatively high income like tomatoes and eggplant.
Keywords: rainfall probability, support tool, farm operations, cropping systems, upland areas, Kalinga