This study aimed to determine the predictors that might influence the studentsâ€™ enrollment and non-enrollment in agriculture education programs in Pangasinan State University for the AY 2018-2019. There were 194 first-year students interviewed from the four campuses offering the universityâ€™s agriculture/ fishery education programs. The predictors were classified into internal and external to the students. A structured questionnaire was developed to examine areas of interest and attributes that may have influenced students when choosing a career path. Results of the study revealed that among the internal predictors under the category of socio-economic characteristics and academic program of students in SHS: the occupation of parents, i.e., occupation of a father which is farming (.005); family monthly income (0.036); hobbies (0.000); and, program track enrolled, i.e., TLE-TVL (0.000). Moreover, the external predictors under the category of personsâ€™ influence, i.e., influenced by mother (.004) and influenced by just self (0.002); university characteristicsâ€™ influence, i.e., quality of facilities (.014); and cost of education (boarding house rental, other fees) (.033); and information systemsâ€™ influence, i.e., received information from the university about the program it offers (.000). Wald tests showed that all nine predictors significantly predicted the likelihood of a studentâ€™s decision to enroll in an agriculture education program by 83.2%. In conclusion, all the predictors have significantly influenced studentsâ€™ decisions and the likelihood of enrolling in AEPs in PSU, thereby improving enrollment in AEPs. Studentsâ€™ recommendations to increase enrollment in AEPs in PSU focused more on enhancing facilities/laboratories and training fields for effective teaching and learning. Moreover, faculty members in college teaching agriculture and teachers in DepEd teaching in the TLE-TVL program track should be given more opportunities to attend training along fields of agriculture to be updated on the latest trends on agricultural technologies.