A deep look at why commercial horticulture has never had the tools it needs, and how we are building them.
A fruit grower managing 50 acres of apple trees makes a chemical thinning decision once a year. Get it wrong, spray too much, too little, or at the wrong time, and you lose the entire season's margin. That decision is currently made by walking the orchard, reading the weather, and hoping.
This is not a niche problem. It is the central operational challenge of commercial horticulture. And it has never been solved. Not because the science does not exist, but because no one has built the last mile from the research lab to the grower's hands.
We are building that last mile. Starting with the highest-stakes decision in the orchard calendar and expanding from there.
Not a dashboard. Not another sensor. A system that tells you exactly what to do and when.
Computer vision running on edge hardware detects, counts, and measures individual fruitlets. Growers get data that has never existed in this form before.
We implement mechanistic carbohydrate balance models grounded in 30 years of horticultural research, then run them against live weather data to predict crop response before action is taken.
Not a chart. Not a raw reading. A specific, actionable recommendation. What to spray, how much, and when. Derived from the grower's actual trees on that actual day.
We did not stumble into this problem. We come from research and engineering backgrounds that sit at the exact intersection of what this industry needs. The science has existed for decades. What it needed was someone willing to carry it all the way to the field.