HealthyGreens started with conversations in the field, not a boardroom. By pairing farmers' real-world experience with AI-powered plant disease diagnosis, we built a tool that identifies problems instantly from a single photo. Every feature reflects feedback from the people actually growing crops—because the best agricultural technology listens before it solves.
We're building HealthyGreens with farmers, not just for them. Using image recognition, agronomic data, and continuous field learning, we help growers catch crop problems before they spread — turning a simple photo into a fast, reliable diagnosis anyone can act on.
Our model is trained on leaf images captured in real growing conditions, not just clean lab photos, so it's built for the way farming actually looks.
Every diagnosis carries a confidence score. We'd rather tell you when we're not sure than give false confidence in a wrong answer.
Your field photos and data are used to improve your own results. We don't sell them, and we're clear about how they're used.
Every model we train starts with a real question from a real field. We stay close to the ground, because the best answers come from understanding the actual problem first..
A crop is a season's worth of work and income. We take that responsibility seriously, building tools that are accurate, dependable, and built to reduce risk, not add to it.
Treatment recommendations are grounded in established agricultural practice, not generic advice recycled across every crop.
HealthyGreens uses an image recognition model trained to recognize the visual patterns of common crop diseases and pest damage — spot shape, discoloration, texture, and distribution across the leaf. It's the same category of signal an experienced agronomist reads by eye, applied consistently and instantly.
As more farmers use the app and confirm or correct results, the model keeps improving — particularly for the regional crops and conditions that get less attention from research built around a handful of major commodity crops.
Photo-based diagnosis and treatment recommendations for 85+ supported crops, free for testing / POC.
Access to agronomists for second opinions, and expanding crop and disease coverage based on API access feedback.
Proactive alerts when local weather raises disease risk, plus season-long crop health history per field.
Diagnosis that works with limited connectivity, and the app available in more of the languages our farmers speak.
We're a small founding team with backgrounds spanning agronomy and software, working directly with early access farmers to shape the product.
Interested in partnering with us — as an agronomist, a cooperative, or a research institution? We'd like to hear from you.
Get in touch