Cecropia’s engineers developed the industry’s most sophisticated multi-zone intelligent plant irrigation and feeding system. The system architecture includes capabilities that span IoT, Machine Learning, and Embedded Development disciplines. The user portal allows for configuring multiple zones to operate independently with different feeding schedules and recipes that support multiple crop types at different stages of the plant growing cycle. The recipes and feeding rates are automatically collected and analyzed through a plant growth data model that continuously learns the optimal combinations of water, minerals, frequency and duration of feeding times for the different strains of plants. The results are fed back into the automated scheduling and control system creating a continuous feedback loop that optimizes future plant feeding cycles.