AI Gronomy uses multiple neural network architectures to learn your style of growing, the conditions you as a grower prefer, providing a system and method to optimize plant growth in a controlled environment while minimizing the need for direct intensive labor to do so. The Atlas melds data processing with machine vision image classification and data processing of image information with other sensed information to generate automated tasking and event planning based on a learned behavior from human input. The Atlas is trained to remedy issues and maintain optimal control of the environment associated with a plant’s growth activity. The user accesses and controls the data through a dashboard based cloud server, enabling remote or offsite monitoring of grow conditions. This type of remote monitoring frees the user of direct intervention and allows for reduction in labor and the risk of grow room contamination. The Atlas and the additional remote sensors can be scaled up using a radio mesh network to any size growing environment. The AiGronomy sweet spot is in the boutique grower size where the labor and time available to small growers is at a premium.
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