The study is mainly aiming to identify the farmers' attitudes toward agricultural production accessories traders, Ity Elbaroud District, Beheira Governorate,This will be achieved through the following objectives: Studying some social, economic, psychological and communicative variables of the researched farmers. Identifying the farmers' attitudes toward agricultural production accessories traders. Studying the correlated variables with the researched farmers' attitudes toward agricultural production accessories traders. Studying the effective variables in researched attitudes toward agricultural production accessories traders. Identifying the most effective variables in researched attitudes toward agricultural production accessories traders. Data was collected through filling a questionnaire through personal interview for a random sample of 112 subjects from 5 villages, Researcher used a number of statistical methods including percentages, means, frequencies, standard deviation, coefficient of variation, simple correlation and multiple regression analysis .   The most important results are summarized as follows: The results showed that (27.7%) of the researched farmers havenegativeattitude toward agricultural production accessories traders, (33%) of the researched farmers haveneutralattitude toward agricultural production accessories traders, and (39.3 %) of them have positive attitude toward agricultural production accessories traders. The results showed that, it was significant relationship at 0.01 probability level with farmers' attitudes toward agricultural production accessories traders and following variables (Education level, family number, land tenure, social participation, living satisfaction, openness civilization, satisfaction of dealing with agricultural association, dealing with agricultural production accessories traders), it was significant negative relationship at 0.01 probability levelwith A full time farm work and the results showed that no significant relationship at 0.05 probability level with researched farmers age, animal tenure and dealing with agricultural association. The results showed that (66.2%) from the variance in the dependent variable can be explained by all independent variables (15), and explained (61.5%) from the variance by (4) variables.