Precision Agriculture and Artificial Intelligence

Precision farming is an essential element of agar innovation, the most important feature of which is that GIS and remote sensing solutions, accurate measurements and computer control play a key role in all elements of farming. Precision agriculture is the most important example of agricultural technology, artificial intelligence, it can be seen as an agricultural revolution whose three determinants are to increase economic efficiency and effectiveness in an environmentally friendly way and to achieve social benefits. In addition to economic and environmental goals, precision farming also pursues social goals: it helps to increase food quality and safety, and contributes to more efficient management of climate change and natural resources through reduced environmental impact. The use of technology based on artificial intelligence contributes to increasing profitability through economical and efficient, yet environmentally and soil-friendly cultivation.

The two research topics are the social conditions for the adaptation of precision farming (artificial intelligence) (e.g., precision soil quality and yield mapping, satellite-controlled automatic steering in vehicle navigation) and network analysis of the spread of precision farming. The basic question of research on the social conditions of adaptation is the indicators of each group of farmers in the case of innovators (inventors), early adopters, early majority, late majority and lagging behind. its characteristics and what factors may influence farmers ’motivation to switch to precision (digital) farming based on the use of artificial intelligence. The second research topic analyzes the network components of the spread of precision farming. This includes research on the network specificity of the propagation of information on PG and a network analysis of the propagation of partial or complete conversion to precision farming. Method: two large-scale questionnaire surveys with the managers of 2,000 farms representing all crop-growing Hungarian farms, and one survey with precision farmers and about 100 tape interviews with experts and farmers.

Keywords: agriculture, precision, social conditions, network