Using Robotics and Digital Twins to Advance Phenomics.

This article discusses the potential impact of artificial intelligence (AI) in agriculture, specifically in the areas of plant and animal breeding, precision crop and livestock management, pest and disease surveillance, and food quality and safety monitoring. The article highlights two promising AI-enabled technologies: real-time phenotyping robots and digital twin technology. Real-time phenotyping robots, such as the MARS-X, use lightweight graph neural network models to track plant organs in real-time, improving counting accuracy and inference speed. Digital twin technology creates virtual replicas of crops and fields, allowing researchers to study plant disease outbreaks without extensive field trials. The integration of AI and digital twin technology offers an innovative approach to advancing precision agriculture. The article concludes by emphasizing the transformative potential of AI in agriculture and the importance of embracing technology for positive impact. [Extracted from the article]