The "New AI" is poised to revolutionize agriculture, offering solutions for productivity and sustainability issues without disrupting existing farming operations. The transformational potential of AI in agriculture lies in areas such as creating knowledge graphs for improved access to plant treatments, enhancing data collection to improve labor, automating analysis and reporting with the "ask data" technology, using agent-based modeling for growth recipe and planning optimization, and employing data augmentation to enhance computer vision for disease detection and robotics applications.

Reflecting on the Indoor AgTech Summit in NYC and other CEA events, we've learned valuable lessons. In 2023, the industry is focusing on unit economics, operational efficiency, and sustainability due to rising costs. Companies like Little Leaf Farms emphasize specialization, emphasizing the need for an ecosystem of growers, service providers, and technology firms. The past resilience of the CEA landscape, exemplified by companies like Pure Green Farms, guides us. Drawing from successful models like Toyota's, the U.S. CEA industry should collaborate more, integrating proven strategies to become a leader. The challenge is fostering this collaboration and building a support network to facilitate scaling with best practices and local tools. Join the conversation!