Autonomous drone over an agricultural field
Concept art

Deep Dive

How Photonic Insecticides Work

A two-phase autonomous system that decouples AI-powered scouting from surgical laser elimination. Peer-reviewed, EU-funded, and built on proven optical architectures.

Architecture

Two-Phase Approach

We revolutionize crop protection by decoupling high-speed detection from surgical elimination.

Two-phase operation — scout and map, then precision elimination1Phase 1 — Scout & Map2Phase 2 — Precision EliminationScoutpre-planned routeLaser drone

1. Scouting & Mapping

Our scouting units map the field to pinpoint individual pests with centimeter precision, creating a digital blueprint of the infestation.

2. Precision Elimination

This data guides our laser drones along a pre-calculated path, delivering instant thermal strikes on confirmed targets without wasting energy on searching.

By focusing exclusively on confirmed targets, we maximize battery life and operational speed for a truly scalable solution. Commercial pest-mapping solutions already exist — for example, Agro-Scout builds pest maps for Colorado beetle using AI-powered scouting.

The Optical Engine

How It Works

Our system mimics the biological eye, replacing slow gimbals with a lightning-fast MEMS mirror — surgical precision at 226 Hz.

Optical path of the foveated targeting systemWide-AngleCameraTelephoto CameraLaser SourceDichroicBeamsplitterMEMS MirrorΔθOne mirror steers both the laser and the telephoto view

1. Detect

A static wide-angle camera continuously maps the plant to spot pests instantly.

2. Engage

The MEMS mirror steers the laser and telephoto lens to the target with sub-millimeter accuracy.

3. Neutralize

Capable of 226 switches per second, the system targets clusters faster than they can react.

4. Stabilize

Predictive algorithms cancel drone vibration, keeping the laser locked on target.

The foveated camera is a proven technique capable of fast optical tracking of an object with a telelens camera.

1 Watt of Optical Power = 4 Grams

The laser driver weighs just 6 grams and can drive two 1550 nm, 1 W optical power diodes. Each diode weighs only 1 gram, bringing the total to just 8 grams for 2 W of optical power.

Since the laser fires intermittently — targeting individual pests in short bursts — the cooling requirements are minimal. No heavy heat sinks needed, keeping the payload ultralight for drone flight.

6g

Driver

1g

Per Diode

1550nm

Wavelength

ATLS6A201D laser driver module — weighs 6 grams
Laser Driver (6g)
1550 nm 1W laser diode — weighs 1 gram
Laser Diode (1g)

Aiming Feasibility

Commercial DJI drones already offer 7× the aiming precision required for effective laser targeting — proving that the necessary mechanical stability is available off the shelf.

Commercial Benchmark: DJI Zenmuse H20

Performance Specifications (2025)

  • Angular Jitter: ±0.01°
  • Lateral Equivalent: at 1 m stand-off, ≈ 0.17 mm of lateral motion
Angular jitter versus kill zone — the beam is always contained±0.01° angular jitter≈ 0.17 mm at 1 mKill zonebeam always contained±0.01° (exaggerated)Jitter is ~6× smaller than the kill zone

Target Applications

  • • Colorado beetle control in potato fields
  • • Stink bug management in orchards
  • • Scalable to various crop pests

Stopping the Exponential Curve

The Mathematics of Suppression

Don't Fight the Army. Stop the Scouts.

The Old Way — Reactive Spraying

Farmers wait until pest damage is visible before spraying. By then, exponential reproduction has already occurred — a single female Colorado beetle lays up to 800 eggs. The field is overwhelmed, requiring massive chemical doses at a cost of $54 per hectare.

Treating millions of larvae after the population explodes

The New Way — Perimeter Patrol Strategy

Our autonomous drone patrols the field perimeter, intercepting the estimated 200 adult beetles per hectare/day migrating in — before they lay eggs. Patrolling every ~48 hours, we neutralize colonizing adults at the edge before reproduction begins.

Intercepting hundreds of scouts before they multiply

Perimeter patrol keeps the pest population lowPerimeter patrol vs. unchecked growthPerimeter patrolintercepts ~200 colonizing adults/ha/dayUnchecked growthWith perimeter patrolTimePest population

The "Aha!" Moment

By constantly removing the few "parent" beetles at the field's edge, we suppress the exponential growth curve entirely. We don't need to kill millions of larvae — we just need to stop the hundreds of adults from multiplying. No parents, no eggs, no army.

The Feasibility Claim

Because we are hunting a low-density population at the perimeter — not carpet-bombing the entire field — the energy cost is minimal. This makes a price point of $10 USD per hectare/season scientifically feasible, a 5× cost reduction compared to chemical treatments.

The Stop-and-Hop Maneuver

The Perimeter Hop Model

We don't randomly patrol a whole field. We run a perimeter defense, catching Colorado Potato Beetles as they invade from the edges — using a precise "stop-and-hop" maneuver.

The stop-and-hop maneuver and its velocity profileStop-and-hop maneuverVelocity profile of one hopacceleratedeceleratev maxTimevhalf-hop timet = √(2d / a)

1. The Hover

Action Time — 1.0 second

The drone holds perfectly still for exactly one second. This precision window lets it lock onto the beetle and neutralize it with the photonic beam.

2. The Launch

Acceleration — 5 m/s²

The drone kicks into high gear, accelerating hard toward the next target before the beetle moves deeper into the field.

3. The Brake

Deceleration to v = 0

The drone reverses thrust and comes to a complete stop directly over the next target, converting speed back into stability to restart the cycle.

How the Model Calculates the Upper Bound

A conservative, worst-case estimate — if the system works under these strict assumptions, real-world operation will only be more efficient.

Upper Bound of Flight Time

  • The model assumes the drone must completely stop, act, and restart for every single beetle — no smooth fly-overs.
  • Total time = acceleration/deceleration time + hover time per beetle.
  • This establishes a worst-case daily requirement. Any real-world optimization only makes it more efficient.
T = 2√(N·D / a) + N · t_act

Total clearing time per slice

Energy & Battery Cost

  • Stop-and-hop movement is energy-intensive — frequent acceleration demands high power (~90 W).
  • Electricity is cheap; batteries are not. The real cost is battery depreciation over its cycle life (L ≈ 1,000 cycles).
  • Unit energy cost = battery price ÷ lifetime energy, multiplied by power × time for each hop.
C_energy = (C_batt / (L · E_cap)) · P · T

Cost per slice

Fleet Size Calculation

  • Required flight hours vs. available daylight hours dictates fleet size.
  • At high pest pressure (1,600 beetles/ha) the model calculates ~26.3 flight hours/day.
  • A 3-day visitation cycle or optimized routing collapses this requirement, letting fewer drones cover more ground.
N_drones = ⌈T_required / T_daylight⌉

Minimum fleet size

The Hop Model proves the system is viable even under worst-case assumptions. As flight-path optimizations are applied — continuous flight, traveling-salesman routing — fleet requirements collapse, making a single drone capable of covering what the model initially requires several to handle.

Thermodynamic Feasibility

The 0.5–3.5 Joule Feasibility Range

The lower bound models a ~1 mm³ neural target; the upper bound heats a conservative 8 mg head mass and includes thermal loss. Optical absorption is based on VUB spectrography, while lethality curves are still being measured.

The 0.5–3.5 Joule feasibility range — one shot is a negligible sliver of the batteryThe 0.5–3.5 Joule feasibility range1 mm³ neural center1550 nm beam25% absorption at 1550 nm~0.5–3.5 J per target — neural target to conservative head modelDrone power reserve1 shot0.5–3.5 J~200,000 J usable energy~60,000–400,000 thermal shots

1mm³

Thermal Target

The pest's neural center is modeled as a cubic millimeter of water — allowing precise energy calculations for denaturation.

0.5–3.5 J

Per Beetle

Feasibility range from a ~1 mm³ neural target to a conservative whole-head thermal model, including optical coupling and heat loss.

Speed

Not Energy

Laser pest control is not an energy problem — it's a speed challenge. The bottleneck is target acquisition, not power.

~60k–400k

Shots Per Battery

For a 200 kJ usable energy budget, the thermal estimate remains small relative to propulsion energy even across the full kill-energy range.

The per-insect energy budget is grounded in the peer-reviewed literature: a 2025 Precision Agriculture study quantifying the laser energy required to neutralize an insect ↗.

Broad Applicability

Universal Physics for Every Environment

Pests don't discriminate, and neither does our technology. From open potato fields to high-tech greenhouses, the core principle remains: AI-driven precision over chemical saturation.

If you can see it, we can shoot it.

Broad applicability across four environmentsSame physics, every environmentOpen fieldsOrchards & vineyardsGreenhouseArid lands“If you can see it, we can shoot it.”

Open-Field Row Crops

Drones patrol broadacre potato, corn, and wheat fields targeting Colorado beetles and corn borers.

Orchards & Vineyards

Trunk and canopy patrol intercepts spotted lanternflies and Japanese beetles in perennial systems.

Greenhouses & Vertical Farms

Rail-mounted systems navigate rows to eliminate whiteflies and spider mites in contained environments.

Specialty & Arid Lands

Intercept migratory desert locusts and protect high-value crops like cotton from bollworms.

Feasibility

Validated Science. Operational Reality.

Our feasibility study confirms that the Colorado Potato Beetle is the perfect target for photonic control.

Why the Colorado potato beetle is the perfect targetWhy the Colorado potato beetle is the perfect targetSitting ducksbasks in the open — high contrast1550 nm laserno fireeye-safe, zero flammabilitySteady arrival~200/ ha / daya manageable, predictable inflow3-day windowDay 1Day 2Day 3act before egg-laying begins

The Perfect Target

Beetles naturally bask on the top of leaves, making them high-contrast targets for our AI and "sitting ducks" for the laser.

The Safety Advantage

We utilize 1550 nm lasers — a wavelength that is safer for human eyes and creates zero flammability risk for the crop.

The Numbers Work

With an arrival rate of ~200 beetles per hectare/day and a 3-day window before they lay eggs, a single drone can easily outpace the infestation using negligible battery power.

The Missing Link

Late Blight & True Potato Seed

Photonic insecticides are the critical enabling component for True Potato Seed systems — connecting beetle control to the billion-euro late blight problem.

Photonic insecticides — the missing link that makes TPS field-readyPhotonic insecticides — the missing link for True Potato Seed1 · TPS seedlingblight-resistant2 · Photonic protectionlock · fire · neutralised3 · Value unlocked€1,000–1,500/hablight-resistance value (NW Europe)Beetle control closes the gap — TPS becomes field-ready.

TPS Vulnerability

True Potato Seed offers a genetic solution to Phytophthora infestans (Haynes et al., 2022), but its fragile seedlings are highly vulnerable to the Colorado Potato Beetle (Martin, 1988).

Photonic Protection

Autonomous laser drones provide non-chemical, precision defence for these delicate seedlings — eliminating the beetle threat without harming the crop.

Unlocking Blight Resistance Value

By safeguarding TPS seedlings, the technology unlocks the massive economic value of blight resistance — estimated at €1,000–€1,500/ha in NW Europe (Europatat Action Plan, 2024; NEPG, 2024).

Late blight costs European potato farmers billions annually. TPS varieties resist the disease genetically — but only if their seedlings survive the beetle. Photonic insecticides close this gap, turning a laboratory breakthrough into a field-ready reality.

Safety & Compliance

Eye Safety & Regulation

A "defense in depth" strategy combining passive physics, active AI monitoring, and regulatory compliance to eliminate the risk of accidental injury.

Multi-layer eye safety — passive physics plus an active virtual enclosureDefense in depth — passive physics + active monitoringVirtual enclosure360° scanRapid divergencebelow MPE within ~2 m1550 nm absorptionstopped at the corneaConvex target scatterdiffuse, no hot bouncePASSIVE — physics & opticsPASSIVE — physics & opticsTRIGGER INHIBITEDperson inside enclosureACTIVE — AI human detection

Rapid Beam Divergence: Why It's Safe

Rapid beam divergence — why the laser is safe past the focal pointHigh-NA opticsFocal pointfull intensity on a ~1 mm spot~2 mBelow MPE — eye-safeSafeEnergy densitylethal at focus → harmless meters away

Passive Safety (Physics & Optics)

Rapid Beam Divergence

A high-numerical-aperture optical design causes the laser beam to diverge rapidly past the focal point, rendering the energy density harmless to bystanders just meters away.

1550 nm Wavelength

The 1550 nm wavelength is absorbed by the eye's corneal moisture rather than reaching the retina, preventing permanent, irreversible neurological blindness.

Convex Insect Geometry

The natural convex geometry of insect targets acts as a dispersive surface, ensuring reflected energy is scattered diffusely rather than bouncing off as a dangerous, concentrated beam.

Active Safety (Software & AI)

An active AI vision system monitors the environment in 360 degrees, instantly inhibiting the trigger if a human is detected within the safety perimeter. Combined with the passive safeguards, these mechanisms create a "virtual enclosure" that effectively eliminates the risk of accidental injury while satisfying rigorous regulatory safety standards.

Regulatory Pathway

The regulatory pathway for an open-air Class 4 device relies on the principle of "Active Guarding" or "Virtual Protective Housing," recognized under international safety standards like IEC 60825-1 and the US ANSI Z136.

While the default rule requires a physical enclosure, these regulations permit "Engineering Controls" to substitute for physical walls if they provide an equivalent level of protection. The safety system must be certified to a rigorous reliability standard, such as Performance Level 'd' or 'e' under ISO 13849-1.

In the United States, this allows applying for a Variance from the FDA (CDRH) under 21 CFR 1040.10, granting legal permission to operate a high-power laser in the open — because the "virtual" walls are proven to be just as safe as real ones.

The Journey

Development Progress

From research to reality. Track our journey to revolutionize agriculture.

EU Funding Acquired

After evaluation by 12 leading experts from PhotonHub — the photonics innovation hub funded by the European Union — the project was granted EU funding and commenced in March 2025. A technical expert from VUB Brussels Photonics prepared the proposal with a Central Business Coach. Further findings are available on the uploaded slides on Cordis.

Safety Milestone Achieved

A main technical hurdle was overcome after the VUB Brussels Photonics department concluded that the laser technology can be made eye-safe for humans.

Technical Verification

All secondary parameters, including energy consumption, weight, and cost, were verified and found compliant. The system meets all defined operational specifications.

Patent Granted

First patent granted in the UK. Additional patents pending in other jurisdictions to protect the technology.

Demonstration Videos

Every demonstration video — laser lethality, prototype flight tests, real-field larva tracking, event-camera detection and the reference optical architecture — is collected in a single gallery on the home page, so you don't have to hunt for one.

Watch all videos

Since safety and energy constraints are critical factors that could limit technological adoption, both a human eye safety calculator and an energy consumption simulator have been developed. Results show that the drone's power demand is minimal, with battery depreciation representing the main operational cost. Emerging battery chemistries, such as sodium-ion, are rapidly reducing this cost.

Dig Deeper

Resources & Research

Explore our research, demonstrations, and the scientific community calling for pesticide alternatives.

Global Advocacy

Scientists and NGOs worldwide are ringing the alarm bell about pesticide effects.