Content AgTech is a company using technology in agriculture to increase productivity and efficiency. Technologies like machine learning have prominence in Precision Agriculture. Relevance Integrating AI into PA promotes efficiency, productivity, and sustainability. Allowing the optimization of resource use and facilitating data-based decision-making contribute to food security and the mitigation of environmental impacts. Literature Gap we work with the alignment between the creation of knowledge in AI and the creation of startups in agriculture based on the Knowledge Overflow Theory of Entrepreneurship and advance the literature on AI-based innovation. Objective This research aimed to identify and analyze where knowledge is created in AI to AgTech. Methodology We show three case studies of AgTech that helped this transformation and attracted the growing interest in venture capital. Results AgTechs have an above-average demand for technological expertise, funding, and knowledge. Crop monitoring control by remote sensing management is an example of a solution involving the participation of leading institutions and experts in the innovation ecosystem, including leading universities.