Climate change and water scarcity are the most important challenges of the agricultural sector, and pressurized irrigation systems (PISs) are one of the most significant ways to improve agricultural water productivity. The main purpose of this research was to identify the factors affecting the use of PISs by farmers. The statistical research population was a total of 2396 Iranian model farmers. The Cochran formula was used to determine the number of statistical samples. Accordingly, this comprised 331 people. The methodology of the study was mixed method research. The structural equation modeling technique, Mann–Whitney U, and Kruskal–Wallis tests were used to test the hypotheses. The results showed that the personal characteristics, tendency, attitude, self-efficacy, subjective norms, governmental support, environmental tensions, and technological features were the most important factors which influenced the farmers. It was found that all of these variables had a positive and significant relationship with the using of PISs by farmers, and they were able to predict 52% of the behavioral changes (R2) of the farmers. Among these variables, the attitude, with a path coefficient (β) of 0.48, had the highest impact on the using of PISs by the farmers.

This study was designed to evaluate the role of organic farming in improving food security from the perspective of farmers in the Fars province of Iran. The research method was practical in terms of its purpose, non-experimental in terms of the data collection, and correlational in terms of the data analysis. The study population comprised 622 farmers who were members of plant pathology clinics in Fars province of which 187 of them were selected as the sample size by the use of Cochran’s formula through a proportional stratified sampling method. The research tool was a questionnaire for which validity was confirmed by experts and its reliability by Cronbach’s alpha coefficient (0.704–0.982). The results revealed that farmers (45.5%) viewed their food security at an average level. The estimated standardized regression coefficients in the model showed that, from the farmers’ perspective, the most effective capabilities in improving food security were technical (0.747), health and safety (0.735), and the optimization of production (0.628), respectively.