A variety of seemingly disparate physical processes can be treated with similar modeling and simulation tools. In this talk,  I discuss the modeling and rapid digital-twin simulation of  technologies related to next-generation  food production: Part 1: modeling of robotic machine-learning for advanced manufacturing; Part 2: modeling of laser and optical processing of materials; Part 3: modeling of multiphysical solid processing and continuum behavior; Part 4: modeling of ignition, fire propagation and ember flow; Part 5: modeling of multiple unmanned aerial vehicles for complex tasks; Part 6: modeling of industrial safety: pandemics, transmission, decontamination, as well as aspects of genomic/evolutionary computing for system optimization, utilizing  multiphysics paradigms. The tools range from discrete element methods, computational optics, voxel-based computation  to agent-based modeling-all connected together via machine-learning algorithms.