Abstract: Computer vision is a field that involves enabling machines to “see”. This technology uses cameras and computers instead of human eyes to identify, track, and measure targets for further image processing. With the development of computer vision, this technology has found widespread applications in modern agriculture and has played a crucial role in its advancement. Firstly, the concept, components, and working principles of computer vision are detailed. Secondly, the research progress and applications of computer vision technology in areas such as aquaculture, livestock farming, crop growth monitoring, crop pest surveillance, and fruit and vegetable recognition, positioning, and harvesting are introduced both domestically and internationally. Through analysis, it is found that existing technology can promote the development of modern agricultural automation, realizing advantages of low cost, high efficiency, and high precision. However, future technologies will continue to expand into new application areas in modern agriculture, bringing about more technical challenges that need to be overcome. Finally, the paper systematically summarizes and analyzes the applications and challenges of computer vision technology in modern agriculture, discussing future opportunities and prospects, providing the latest references for researchers.