Smart Agricultural Develop effective strategies to promote the adoption of smart agricultural methodsbased on the demographic characteristics of farmers

Abstract

The study aimed to study the effect of the demographic characteristics of farmers on the adoption of smart agricultural methods. To achieve the research objectives, a sample of (45) farmers was taken from agricultural researchers, and the required data was collected by designing a questionnaire form designed for this purpose according to the method of personal interviews with farmers.  The analytical approach was used to describe and analyze the sample members’ answers to the questionnaire’s axes.  The research results showed that there are statistically significant differences between the number of years of experience, age, educational level, and the ability of farmers to adopt smart agriculture. The research also showed that farmers are of active age and have an appropriate educational level, and the majority of them are specialized agricultural engineers, which helps in adopting smart agricultural methods . The results of the research showed that smart agriculture methods are among the most applied smart agricultural methods, at a rate of 70.4%, followed by smart fertilization methods, at a rate of 68.2%, then smart irrigation methods, at a rate of 67%, and smart control methods came in last place, and By 57.03%, the research also reached a set of proposals: the most important of which is providing the opportunity for farmers to own smart agriculture tools and equipment at affordable prices.  Thoughtful, through financing loans to adopt smart agriculture, the gradual transition to using smart agriculture systems on a large scale, attention to training and preparing expert resources in the field of smart agriculture, and working to reduce the fragmentation of agricultural holdings if possible, because of its negative effects on the application of smart agriculture,  As large areas encourage the adoption of modern technology, the results of which are reflected in the productivity of a unit of area and in overall agricultural production.