Abstract: A method for artificial intelligence software to manage and optimize energy consumption across a vertical farm and a greenhouse, comprising: a grid of solar panels that provide solar power, a solar battery and sensors throughout the vertical farm; wherein the greenhouse can be heated or cooled; wherein heating and cooling is managed per type of plant and stage of growth; wherein there is a combined cycle sensor, instrumentation; wherein data from both the vertical farm and the greenhouse is fed into the combined cycle sensor and instrumentation; wherein there is an outdoor light measurement sensor that measures and estimates the conditions of solar power in the solar grid, and sends data to artificial intelligence software; wherein the artificial intelligence software determines how much light various plants in the hydroponic greenhouse needs in order for those plants to maximize the yield from those plants.

Abstract: A system to guide robotic automation of vertical farming, comprising: artificial intelligence optimization software that estimates size, mass and yield of the vertical farming; wherein the artificial intelligence optimization software is coupled to a robot; wherein the robot utilizes computer vision in order to estimate the height, growth and mass of plants in a vertical farm; wherein the robot has a robotic arm that sows seeds in the vertical farm; wherein once the seed grows past a seedling, the robot moves the seedling to a hydroponics greenhouse; wherein in the hydroponics greenhouse the robot uses computer vision to estimate the height, growth and mass of plants; and wherein the artificial intelligence optimization software provides guidance and feedback on when and where the robot should make changes to plants in the hydroponic greenhouse. The system also has sensors throughout the vertical farm and greenhouse that send data to the software.