Artificial Intelligence (AI) is opening a new era in agriculture, particularly in the field of precision farming. This paper aims to provide an insightful overview of how AI technologies can be applied to yield prediction, crop health monitoring, and early pest and disease detection. Findings from international research clearly indicate that those countries and producers who adopt these tools early will gain a long-term competitive advantage.
The Hungarian agricultural sector faces increasing challenges: climate change, labor shortages, and market pressure. AI-based tools offer solutions through automation, precision, and cost efficiency. However, implementation requires not only access to technology but also a clear understanding, practical examples, and local case studies that demonstrate how AI works under Hungarian conditions and supports Hungarian farmers.
The future lies not only in technology but in its comprehension. Therefore, review articles like this one play a key role in bridging the gap between science and farm-level decision-making. The methods and models discussed here provide a foundation for developing domestic case studies and decision-support systems that directly benefit farmers in their everyday operations.