The EU’s SWIFTT project demonstrated the utility of AI models in early detection of insect damage in European forests, enhancing forest health monitoring amidst increasing pest outbreaks. In agriculture, Cornell University engineered a soft robotic gripper capable of precise leaf injections with sensors or genetic material, facilitating plant health assessment and bioengineering interventions. Additionally, University of Florida researchers created digital twin strawberry farms integrating AI for year-round cultivation and data-driven farming, exemplifying AI's expanding role in sustainable environmental management.