C-DRONE GUIDE · 5 AUGUST 2026
Estimating orchard yield by drone: fruit counting, calibration, prices
An orchardist's whole season hinges on a number known only at the end: the tonnage. Downstream contracts are negotiated weeks before picking, labour is booked ahead, crates, bins and cold storage are sized on an estimate — traditionally, a few hand-counted trees and a lot of experience. Drone imagery combined with neural networks changes the basis of the calculation: photograph every tree, detect and count the visible fruit, calibrate on a few ground plots, and extrapolate to the block with a measured error. Here is what the method can do today, its honest limits, and what it costs.
Published on 5 August 2026, reviewed on 29 August 2026 — regulations in force as of August 2026.
What drone counting really measures
The principle: a very high resolution RGB flight — often at an oblique angle to see the trees' sides — produces images of every row, in which a trained detection model (convolutional neural network) identifies and counts the visible fruit. Two corrections separate a gimmick from a tool: the occlusion correction (part of the fruit hides behind foliage; the visible-to-real ratio is calibrated on hand-counted plots) and the size calibration (mean diameter measured on a sample converts count to tonnage). The result: an estimate per tree, per row and per block, with its confidence interval.
The achievable accuracy is documented: Orly Enrique Apolo-Apolo's team showed in 2020 in the European Journal of Agronomy, on a citrus orchard monitored by drone and deep learning, an estimation error of about 5% per tree — against nearly 14% for an experienced technician's visual estimate (see the study on Google Scholar). The order of magnitude transfers to trellised apples and pears; small or heavily hidden fruit (plums, cherries) demands more calibration plots.
What a reliable early estimate is for
Four decisions rest directly on the number:
- Downstream contracts and commitments: selling to the producer organisation or marketer on a solid estimate rather than gut feeling — and documenting the gap if the season goes wrong.
- Thinning: the per-tree load map reveals overloaded areas where additional thinning will improve fruit size — the season's most profitable decision when taken in time.
- Harvest logistics: crews, bins, transport and packhouse slots are sized on estimated tonnage per block and per ripening week.
- Insurance and disaster claims: after hail or frost, the before/after comparison objectifies the loss — alongside our guide to agricultural damage assessment by drone.
The same flight feeds neighbouring diagnostics: per-tree vigour, missing or declining trees (the orchard counterpart of missing vine counting), and — in spring — frost risk mapping, which protects precisely the yield being measured here.
How a campaign runs
The flight window depends on species and objective: after physiological drop for a stabilised load estimate, three to six weeks before harvest for the logistics estimate — when fruit is big enough to detect yet there is still time to act. The sequence:
- Flight in early morning or late day (raking light, fewer reflections on fruit), 10 to 30 hectares per session depending on training system.
- Calibration plots: hand-counting a few representative trees per block, ideally on flight day — the step that guarantees the stated accuracy.
- AI processing and delivery within days: load map, per-block estimate with confidence interval, exports for the producer organisation or packhouse.
- Optional second flight close to harvest to refine size and tonnage.
Flying over an orchard is regulatorily simple (rural area, low height); hail nets, however, force flying above the structures with an adapted oblique angle — a point to flag at the quoting stage.
2026 prices
Orders of magnitude observed in France in 2026 (excl. VAT):
- Estimation campaign (flight, AI processing, load map, per-block summary): €80 to €200 per hectare depending on species, training system and area, tapering beyond 20 hectares.
- Minimum call-out package: €500 to €700 — orchards of a few hectares should pool the campaign through the producer organisation.
- Second pre-harvest flight: 50 to 60% of the first flight's price, calibration being already in place.
Set against the stakes: a few percentage points of error shaved off an apple orchard's estimate means a better-negotiated contract, better-targeted thinning and a harvest without logistical breakdowns. This service draws on our drone agriculture offer: request a quote stating species, area, training system (goblet, axis, trellis, nets) and expected harvest date.