The application of AI in agricultural production

With the development of AI technology, agricultural cultivation has become increasingly efficient with the support of the Internet of Things (IoT) and machine learning. The importance of artificial intelligence technology in improving planting efficiency and seedling survival rate is becoming increasingly prominent, and it has become a research hotspot. This paper introduces the research scope of machine learning, discusses the application scenarios of Internet of Things, target detection and big data analysis in agriculture, compares the advantages and disadvantages of smart agriculture and traditional agriculture, and summarizes the relevant research results. At the same time, this paper proposes an artificial intelligence agricultural planting scheme that integrates the Internet of Things and computer vision technology, in order to improve the level of agricultural intelligence and promote agricultural production to achieve high-quality and efficient development.