This research is an attempt to determine the extent to which potato Farmers benefit from agricultural electronic websites and applications in the West Nubaria Area. This study aimed to (1) Identify the distinctive characteristics of the studied potato Farmers. (2) determine the degree of electronic openness of the potato Farmers investigated. (3) Determine the degree to which the investigated potato Farmers benefit from agricultural electronic sites and applications. (4) Studying the impact of some of the distinctive characteristics of the researched potato farmers as independent variables on both their degrees of electronic openness and their benefit from agricultural electronic sites and application as dependent variables. (5) Identifying the obstacles to using agricultural electronic sites and applications from the point of view of the researched potato farmers, as well as their suggestions for overcoming them. A regular random sample of 20% of the researched potato Farmers who had holders was taken, consisting of 150 holders. Data was collected from 143 respondents, using the personal interview questionnaire. Percentages, frequency tables, arithmetic mean, standard deviation, and correlation coefficient were used. Pearson's simplex and multiple regression coefficients in analyzing research data. The following is a presentation of the most prominent research results: The percentage of individuals with low and medium levels of electronic openness reached 65.1% of the total potato farmers surveyed. There is a significant correlation at the probability level (0.05) between the degree of electronic openness of the researched potato Farmers and each of the following: age of the respondent, educational level of the respondent, community participation, membership of organizations, opinion leadership, innovation, sources of agricultural information, number of years of experience in growing a crop. Potato, The degree of electronic openness of the researched potato Farmers, as a dependent variable, is significantly affected by four independent variables: sources of agricultural information, educational level of the respondent, membership of organizations, and opinion leadership. The percentage of individuals with low and medium levels of benefit reached 71.3% of the total researched potato Farmers. There is a significant correlation at the probability level (0.05) between the degree to which the researched potato farmers in question benefit from agricultural electronic sites and applications and each of the following: the age of the respondent, the educational level of the respondent, agricultural land tenure, community participation, membership of organizations, opinion leadership, innovation, and sources of agricultural information. The degree to which the researched potato Farmers benefit from agricultural electronic sites and applications as an independent variable is significantly affected by three independent variables: sources of agricultural information, the educational level of the respondent, and membership of organizations.