مجله پژوهش های ترویج و آموزش کشاورزی
سال شانزدهم شماره 4 (پیاپی 64، زمستان 1403)

The purpose of this research was to identify and prioritize factors affecting the use of digital promotion tools by farmers. The research in terms of division based on the purpose is considred as a developmental research; In terms of classification based on the method of data collection can be categorized as a descriptive-survey research; And in terms of the type of data, it is a mixed qualitative and quantitative research.The statistical population of the research consists of professors, agricultural experts and leading farmers who have enough experience in the field of digital agriculture. The analysis method in the qualitative part is the Delphi method and in the quantitative part the analytic hierarchy prosses (AHP) is used to rank the known factors. The results in the qualitative part led to the identification of 6 main factors (economic, individual, educational-extensional, policy making, technical and motivational factors). The ranking results showed that individual factors with weight (0.267) in the first place, educational-promotional factors with weight (0.256) in second place, technical and technological factors with weight (0.187) in third place, motivational factor with weight (0.131) In the fourth place, policy making weight (0.093) is in the fifth place and economic factors with weight (0.065) is in the sixth place.

This study aimed to determine the criteria, sub-criteria, and priorities of brand equity (BE) in the agricultural extension and education (AEAE) field at Islamic Azad University. Prioritization and weighting of the BE alternatives of the AEAE field were performed by the use of the Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) approaches. Given the fact that we targeted customer-based brand equity (CBBE), 28 Ph.D. students with higher knowledge and understanding in the field of AEAE were selected from the Islamic Azad University of Iran using purposive sampling. A questionnaire based on the 1-9 Saati scale was considered our main research tool. The outputs of the sub-criteria priorities based on the weights derived from the Expert Choice and Super Decision software were used to compare the results obtained from the AHP and ANP approaches for the BE in the AEAE field. The results of this study can be utilized by managers and marketers of higher education in the field of agriculture and specifically in (AEAE).

The present study was conducted with the aim of investigating the effect of altruistic and Egoistic values on the attitude and intention of farmers in Kermanshah province to adapt to water shortage. In order to select farmers, a multi-stage cluster sampling method was used (n=380). The data was collected from the wheat farmers of Kermanshah province through a researcher-made questionnaire. The reliability and validity of the questionnaire was tested and confirmed. The conceptual model was analyzed using partial least squares structural equation modeling (PLS-SEM). The results showed that the variable of altruistic values had a positive and significant effect on the variables of attitude and intention to adapt, and the variable of egoistic values had a negative and significant effect on the variables of attitude and intention to adapt. Also, the attitude variable towards adapting to water scarcity had a positive and significant effect on the intention to adapt. In the present study, 39% of the variance of the attitude variable and 50.1% of the variance of the intention to adapt to water scarcity were explained.

Irrigation and drainage networks contribute to the balance between water resources management and sustainable agricultural development and have valuable effects on the economy and society. Participation of farmers in irrigation and drainage networks increases water productivity and improves agricultural sustainability. Therefore, the participation of users in irrigation network plans is essential as a new approach in water management. In this regard, a research was conducted with the aim of investigating social and economic characteristics and their impact on the participation and success of irrigation and drainage networks, focusing on the Alborz Dam network. The statistical population of this study included 72 farmers who participated in the irrigation and drainage network of Alborz Dam. The results showed that, in terms of social security, the implementation of irrigation network projects has reduced disputes and anomalies among the villagers. In terms of social literacy, farmers have considered the implementation of irrigation network projects to increase awareness in the field of strengthening local institutions. In terms of social participation, the implementation of irrigation network projects has not led to the participation of villagers in other village affairs. In general, the implementation of network projects has led to an increase in the price of agricultural land and the growth and revival of agricultural land.

This research aims to study factors effective on rice farmers of Rezvanshahr county to accept agricultural products insurance. This is a applied and correlational study. The statistical population includes insured rice farmers (1666 people) of Rezvanshahr county i., with an estimated sample size of 183 people selected through a random cluster sampling in accordance with the test of Bartlett, et al. Data collection was carried out applying a questionnaire ,designed by the researcher, containing personal and agricultural features as well as 79 questions regarding factors affecting farmers insurance acceptance. Validity of the questions context was approved by the experts. The Coefficient of Cronbach’s alpha variables of satisfaction was 0.863 rejection 0.856 and suggestion for insurance acceptance enhancement 0.702; which was higher than 0.7, indicating the consistency of items and the final confirmation. The data analysis was conducted using a regression model and the Spearman and Pearson’s correlation coefficients by the spss software. According to the logistic regression model result, based on the correct prognosis statistics (84.4%), considering the descriptive variables (farmer’s age, educations, cropland area, farming records, revenue, distance from broker firms), suggested model prognosticated a high percentage of dependent variable amounts. correlation between personal and agricultural features of the rice farmers and the satisfaction rate from the agricultural products insurance indicated that dwelling locations, distance from brokers firms, cropland areas, , insurance records, attendance of insurance class, bank facilities, cultivation methods and rice cultivated area had a significant positive relationship, but using insurance publications had a significant negative relationship.
 

Considering the importance of the food security issue and the irreparable damage caused by the excessive use of agricultural chemical inputs on the environment, a comparative analysis of the existing and desirable situation is felt. This research has been non-experimental in terms of how to control the variables, and practical in terms of its purpose. The current research is a type of survey and cross-sectional research. In this research, sequential and exploratory mixed paradigm and data base theory have been used. Wilcoxon test was used in order to compare the current and desired status of indicators and sub-indicators of organic farmer development. Qualitative and quantitative methods have been used in combination and in sequence. The sample of this research in the qualitative phase included 32 expert experts of Lorestan province who had the necessary knowledge in the field of growing organic crops in the research area and had agricultural expertise and at least a bachelor's degree. In the quantitative part of the research, the sample number of 384 farmers was determined using the Karjesi and Morgan table. In order to achieve the objectives of the research, this research started from Mehr 2019 and ended by Mehr 1401. The results of the comparison of all indicators and sub-indicators of organic agriculture development, i.e. ecological, health, fairness, care, social-cultural and production-economic and sub-indicators through the Wilcoxon test, it was determined that, with a probability of 99%, between the current and optimal conditions of all indicators and sub-indices, there is a significant difference.