How AI Is Changing Home Gardening
Five years ago, if you stood in your garden looking at a plant that was clearly struggling and wanted to know what was wrong, your options were limited. Search the internet and get a list of fifteen possible causes. Post in a forum and wait for someone to respond. Ask a neighbour if they happen to know.
That situation is changing significantly. AI is beginning to make genuinely useful contributions to how home growers get guidance, and the direction of travel is clear.
What AI does well in gardening
General AI tools like ChatGPT and Claude have absorbed enormous amounts of gardening information. Ask them a basic growing question, and you will often get a reasonable answer. For general guidance on composting, spacing, or common pests, they are a useful first stop.
The limitation is that general AI does not know your garden. It gives you the same answer it would give anyone asking the same question. This is useful when the question is genuinely generic. It is less useful when the answer depends on your soil, your location, your microclimate, or what you have grown in a particular bed for the past three years.
Garden-specific AI
The more significant development is AI built specifically for gardening and connected to the grower’s own data. This is the direction GrowTrack has taken with Rowan, the AI assistant at the centre of the platform.
Rowan does not answer questions in isolation. Before responding, it reads your planting records, your soil notes, your bed history, and your location. The answer it gives is based on your specific situation, not a generic one. That difference is significant in practice.
A grower asking why their potatoes are showing yellowing lower leaves gets a different answer from Rowan than from a general AI tool, because Rowan knows which variety they planted, how long ago, in which bed, with what soil notes attached to that bed.
Pest and disease identification
AI image recognition is becoming increasingly capable at identifying plant problems from photographs. Several tools can now identify common pests and diseases from a phone camera image with reasonable accuracy. This is genuinely useful for growers who encounter an unfamiliar problem and want a starting point for investigation.
Combined with growing records, this becomes more powerful. Knowing not just what pest is present but whether it has appeared in the same location in previous years changes how you respond to it.
What AI cannot replace
Experience and observation in a specific garden remain irreplaceable. AI can tell you what a symptom often means. It cannot see your garden, feel your soil, or know the particular quirks of your microclimate that you have observed over the years. The grower who pays attention to their plot and keeps records will always have information that no AI system can substitute for.
The most useful combination is a grower who observes carefully and a tool that helps them record, interpret, and act on those observations. That is what GrowTrack is designed to be.
Tony O’Neill is a vegetable growing expert and founder of GrowTrack Systems Ltd. Practical growing advice at Simplify Gardening.
