Send message to Authors

Paper short abstract:

The collaborative trinity between AI industries, institutions and government agencies is a food systems frontier. We will highlight evidence-based strategic opportunities for industry leaders, physical and social scientists, and government administrators to elevate AI knowledge transfer and impact.

Paper long abstract:

Stargate is a new project that intends to invest $500 billion over the next four years in building new AI infrastructure in the United States. AI allows computers and machines to carry out tasks without human cognition. Machine learning (ML), an AI tool, is a data analysis method that imitates human learning. The emergence of information technology has developed big data that can be analyzed utilizing AI to provide valuable decision support to producers. Knowledge transfer can be improved through the implementation and impact offered by the Agricultural Knowledge and Innovation System (AKIS), a multidimensional approach with food system actors. AI can provide predictive analytics for growers to better manage risks through improved preparation and response for unexpected events such as severe flooding and drought. Robotics and visual machine learning platforms enable the automation of critical labor activities such as field scouting and harvesting. ML’s advanced visual algorithms will enable stakeholders from fruits and vegetables to improve harvest efficiency using platforms such as flying robot pickers. Artificial intelligence is expected to greatly assist in reducing agriculture's environmental footprint and contributions to climate change while continuing to increase productivity and input efficiency. Our project will develop a suite of AI-enabled technologies using sensors, actuators, and robotic platforms to increase the precision and efficiency of farm and ranch management practices, reducing overall input use and GHG emissions. Collaborative synergy between academia and industries, like Stargate, will be essential for maximizing AI knowledge transfer and optimizing continued food security and land sustainability goals.