Every plant, from the moment it emerges
Each plant is detected early in the crop and followed flight after flight. Stand, gaps and growth are measured plant by plant across the whole field, not estimated from a sample.
Features built for the field.
Three pieces work together: models that tell crop from weed inside the canopy, satellite models calibrated on drone data, and an assistant your crews can ask right in the field.
Green-on-green detection
Every plant and every weed, told apart.
Green-on-green means telling green from green inside a growing field: crop from weed, one plant from its neighbor. Manglar's models do it plant by plant in ultra-high-resolution drone imagery, where NDVI maps and standard resolution see only green.
Not a vegetation index
A vegetation index like NDVI measures how green something is, and weeds are green too, so the reading can't tell you what's growing. Manglar's models classify what they see: crop, weed or soil.
Beyond standard resolution
At standard drone-mapping or satellite resolution, a young plant or a weed patch blurs into a few pixels. Ultra-high resolution shows each leaf's shape and texture, the detail the models need to tell plants apart.
Broadleaf and grass, apart from the crop
Weeds are separated from the crop and classified by type, broadleaf or grass, even grass weeds inside a grass crop like cane. Each patch gets the control that works on it.
Hybrid drone + satellite models
Leaf-level ground truth, at satellite cost and revisit.
Satellite imagery reaches every field, every week, at low cost. Manglar's satellite models learn from what our drones saw leaf by leaf, so that frequent, affordable reading becomes one your team can act on.
Validated with ultra-high-resolution imagery
The satellite models are trained and validated against Manglar's ultra-high-resolution drone imagery, analyzed leaf by leaf, not against generic labels. Each reading is calibrated on what drones actually saw in the field, which is what makes it worth acting on.
Field-by-field assessment
Every field in your inventory assessed from the same imagery, so you know which ones to walk, treat or fly first. The satellite reads fields, not plants: the drone brings the detail where it's needed.
Weekly and monthly
Weekly readings for this week's decisions, and a monthly view of how each field is trending through the season. Every reading is dated and flagged when clouds get in the way.
Chat and voice assistant
Ask in the field, get the answer there.
Your crews already carry the tool: their phone. They ask about the field in their own words and get the answer, with the map, right where they're standing.
Questions in your team's words
Which blocks need weeding this week? Where are the gaps in this block? Ask the way you'd ask an agronomist, and get a straight answer with the map attached.
WhatsApp or web app
Crews ask on WhatsApp, from the phone they already carry. Managers and agronomists get the same answers in the web app, with the full maps.
By chat or by voice
Type the question or say it out loud, with hands busy or gloves on. The answer comes back in the same conversation, ready to share with the crew.