Weekly drone canopy maps that tell grape exporters which vines to check first
TL;DR Trellismap flies drones over export grape vineyards around Nashik every week of the fruiting season and turns the images into a map of blocks that look stressed. Exporters and farmer companies pay per acre, so their field staff check the right vines first and catch disease before it spreads or residue trouble builds up.
India exported 2,24,401 tonnes of grapes worth US$367.99 million (about ₹3,560 Cr) in FY26, mostly to the Netherlands, Russia, the UK and the UAE[1]. Maharashtra grows more than 69% of the crop[1], and Nashik district is the largest grape-growing area in Asia[2].
Downy mildew, powdery mildew and bacterial leaf spot are everywhere there[2], and downy mildew can cut harvests badly[3]. Exporters have a second headache too. Europe tests every lot for pesticide residues and India runs a residue monitoring plan for exports[1], so growers cannot just spray more to be safe. Field staff walk thousands of acres and usually spot trouble only after it has spread, which is a bit like finding the leak once the ceiling's down.
First, the regulatory bit - Trellismap does crop imaging and tells people where to scout. It does not spray, sell pesticides or recommend doses. Spraying stays with the grower and the exporter's agronomist, following label rules. Flights follow the Drone Rules 2021[4].
In season, a local pilot flies each enrolled vineyard once a week with a multispectral camera. Software compares canopy vigour with the same block last week and with nearby plots, and marks the blocks falling behind. The exporter's field officer gets a short list on their phone - these ten blocks, check the lower leaves. They log what they find and those logs train the system for next season.
It points people to places and doesn't hand out diagnoses. Image models trained on single leaves score well on lab datasets[2], but reviews warn that spotting symptoms automatically in a real field is still hard[3]. So a human checks every flag.
Exporters and farmer producer companies that manage contract growers pay. One large Nashik grape producer company, for example, counts more than 30,000 registered farmers across 252+ villages and already keeps an eye on how members grow[5]. A per-acre seasonal fee fits neatly into that kind of extension budget. Large individual growers are a second buyer. I couldn't find a public price for vineyard drone scouting, so test a per-acre fee in your pilots.
Flying drones got a lot simpler after the 2021 rules cut approvals from 72 to 4 and introduced an online airspace map, and a PLI scheme has supported local makers since September 2021[4]. Nashik now has public, labelled grape leaf datasets to build on[2], and growers are already used to paying for sensor-based advice[6].
How much does India spend on vineyard scouting? Nobody publishes that. The narrowest firm number is export value - US$367.99 million in FY26[1]. A per-acre service would only ever take a small slice of that, so check the economics with exporters and don't fuss over market size.
One Indian agritech firm sells in-field sensors and AI advice and says it monitors more than 75,000 acres, with grape growers among its users[6]. Its data comes from sensors at points in the field though, not from images of the whole canopy. Agri-drone firms in India mostly do spraying[4]. The gap is a weekly, whole-vineyard view tied to the exporter's own field staff and records.
| Difficulty | Moderate (43/100) |
| Starting capital | ₹40–80 L |
| Time to launch | 6–9 months |
The flying and mapping are well understood. The hard bits are making flags reliable enough that field officers trust them, covering scattered small vineyards every week inside the season's window, and showing exporters a drop in losses or sprays they can actually measure.
No farm-advisory licence applies, because Trellismap only images crops. Drone flights still need permissions.
Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.
Don't trust AI to diagnose a disease or pick a spray. Lab leaf models score well[2], but field conditions are harder, so a person checks every flag.
Want to work out the AI layer for Trellismap? Talk to Yash →
Here's what can go south -
I like this one for a founder with agronomy contacts in Nashik and a cheap, local pilot network. If you only want to sell software then skip it. First prove that over one season at least half the blocks you flag show a real problem when a field officer checks them. Being Nashik-based myself, I'd love to see someone crack it.
Plan for about ₹40–80 L for multispectral drones, a local pilot network, software and the first season of flying.
Yes, drones must be registered and flown by certified remote pilots under the Drone Rules 2021. Stay out of pesticide advice, which is a separate regulated area.
Yes, wine and table-grape regions worldwide use crop imaging. Check local drone rules and farm data laws before you fly.
The free Trellismap validation kit has the line-by-line capital breakdown, the effort scoring, the drone and data checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for exporters and growers, and 5 assumptions to test. Download the kit →
Thinking about building Trellismap or something close to it? The make-or-break work is getting flagged blocks right often enough that field officers keep checking them, and I'm happy to think that through with you. If you need a hand, you know where to find me. Talk to Yash →
For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.