(evr.ai) Cannabot-AI-powered cannabis advice.

Example

If a grower is unsure about the optimal lighting schedule for the flowering stage, Cannabot can provide a detailed lighting plan, including the ideal hours of light and darkness to maximize bud production.

Scenario

A user in the early stages of growing cannabis indoors is unsure about the correct light cycle for vegetative growth. Cannabot advises an 18/6 light cycle, explaining how this promotes healthy plant development before transitioning to the flowering stage.

Example

Cannabot can help identify issues such as pests, diseases, or nutrient imbalances based on user descriptions or images. For instance, if a user describes yellowing leaves, Cannabot might diagnose nitrogen deficiency and recommend adjusting the nutrient mix accordingly.

Scenario

A user notices their cannabis leaves are turning yellow and curling at the edges. Cannabot guides them through a diagnostic process, concluding that the issue is likely a potassium deficiency. The bot then provides a solution, such as using a potassium-rich fertilizer.

Example

Cannabot can suggest advanced techniques like SCROG (Screen of Green) to optimize yield in limited space. It provides step-by-step instructions on how to set up the SCROG method, including when to start and how to maintain it throughout the grow cycle.

Scenario

A user with limited grow space wants to maximize their yield. Cannabot recommends the SCROG technique, detailing how to set up the screen, train the plants, and maintain an even canopy for optimal light distribution.