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.

Climate change and drought have greatly affected the food security of rural families. Regarding to importance of the resilience approach in food security, this study aimed to examine the resiliency determinant factors based on six indicators included income and food access, access to basic services, assets, social safety net, adaptive capacity, and stability. The above-mentioned indicators were extracted from the food and agricultural organization’s resilience index. This research was of the survey type, and data were collected from a sample of population based on a stratified random sampling. The sample population was 270 respondents from the Fars province who faced food insecurity due to drought. Based on the factorial analysis, the model presented in this research had a high predictability of resilience among rural households. The validity and reliability of this model were tested and verified. The results showed that the stability variable was considered the most important resiliency determinant toward food insecurity. Cluster analysis suggested two groups: high- and low-resilience households. The results revealed that more than half of rural families had a lower resilience to food insecurity, while less than 45 percent of rural households in this study had higher resiliency, which was characterized by a series of features. The verified model in this study identified a standard framework for assessing the resiliency of households to cope with food insecurity and to recover from shocks related to drought.

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.