Research spans AI-enabled crop and grain monitoring, digital twins, and sensor-driven decision support. Focus on computer vision, uncertainty-aware models, and portable sensing to enable real-time detection, automation, and resilient, data-driven farm operations and storage. Maps technology landscapes to guide adoption.