Above the alfalfa fields of California and the remote islands of Scotland, a quieter aviation revolution is unfolding—one without pilots in the cockpit. Companies like Pyka, Reliable Robotics, and Merlin Labs are advancing autonomous fixed-wing aircraft through the unglamorous but consequential work of crop spraying and cargo delivery, navigating regulatory frameworks far stricter than those governing self-driving cars. The path to passenger flight is long and contested, but the machinery of that future is already airborne, learning its way through the world one unmanned mission at a time.
Autonomous crop-sprayers lead race to pilot-free commercial aviation
Flying lower means less spray drift and fewer chemicals needed
Why are crop-sprayers the first autonomous aircraft to reach commercial service? It seems like an odd place to start.
The constraints actually make it easier. You're operating in a defined agricultural area, not shared airspace with other traffic. The mission is repetitive and predictable. And there's a clear economic incentive—you reduce chemical drift, use less spray, and one operator can oversee multiple aircraft.
But how much of that is actually proven? Pyka has a dozen planes in Brazil. That's not exactly a massive fleet proving the concept at scale.
True, but it's real commercial work. They're not just testing anymore. And the regulatory approval—even if limited—shows that authorities believe the safety case is solid enough.
What about the passenger flight dream? Is that realistic?
Norcia thinks Pyka will get there before eVTOL companies do. The advantage is that they're building autonomy into the aircraft from the start, not retrofitting it.
That's a claim, not a fact. The real barrier is shared airspace and air traffic control. How do you solve that without a human in the loop?
That's where the companies split. Reliable keeps a remote pilot. Merlin wants to use AI to interpret radio instructions. Pyka isn't even trying yet.
So they're all taking different bets on the same problem.
Exactly. And they're all moving cautiously because the safety bar is so much higher for aircraft than for cars.
Which is why pilots' groups are pushing back. They're not wrong that this is a gamble, even if it's a calculated one.
No, they're not wrong. But the technology is moving forward regardless. The question is whether it moves safely.
The Pulse
- Autonomous fixed-wing aircraft are already spraying crops in Brazil and California, flying lower and more precisely than human pilots ever would—marking a quiet but significant commercial threshold.
- The race is fragmenting across competing philosophies: some companies build aircraft from scratch for native autonomy, others retrofit certified planes, and they disagree sharply on whether artificial intelligence belongs in the safety stack at all.
- Detect-and-avoid remains the hardest unsolved problem—replicating a pilot's ability to spot and evade other aircraft with virtually zero margin for error, using radar, lidar, and AI-powered cameras in varying combinations.
- Regulatory approval in the US constrains Pyka's operations to agricultural zones with ground observers present, while the UK has yet to authorize such flights at all, and air traffic communication in shared airspace remains an open question.
- Pilots' unions warn that removing human judgment from the cockpit is a serious safety gamble, even as some acknowledge that autonomous safeguards, if proven, could ultimately make all aviation safer.
Above the alfalfa fields of California and the remote islands of Scotland, a quieter aviation revolution is unfolding—one without pilots in the cockpit. Companies like Pyka, Reliable Robotics, and Merlin Labs are advancing autonomous fixed-wing aircraft through the unglamorous but consequential work of crop spraying and cargo delivery, navigating regulatory frameworks far stricter than those governing self-driving cars. The path to passenger flight is long and contested, but the machinery of that future is already airborne, learning its way through the world one unmanned mission at a time.
Over an alfalfa field in California's San Joaquin Valley, a small aircraft descends toward the crop with no one aboard. Pyka's autonomous crop-sprayer flies lower than any human pilot would choose to, reducing chemical drift and improving efficiency—advantages that emerge precisely because there is no human comfort to accommodate. From a converted World War II hangar near San Francisco Bay, Pyka builds pilotless aircraft for agricultural and cargo work, and its co-founder Michael Norcia harbors a longer ambition: a fleet of minibus-capacity passenger planes running up and down the US coasts, potentially beating the electric air taxi industry to that future.
At a test site east of the factory, engineers highlight a spray zone on a laptop inside a shipping container. The software calculates the route, avoids mapped obstacles like power lines, and the plane takes off, sprays, senses its tank running low, lands itself, accepts a refill, and resumes from exactly where it stopped. A dozen Pyka aircraft are already doing this work commercially in Brazil. The company plans to scale from roughly two dozen planes a year to 1,000 by 2030.
Autonomy is distinct from autopilot—it means handling the entire flight with minimal human intervention, not merely assisting a human in control. The technology has emerged more slowly than self-driving cars, partly because aviation faces far stricter safety standards and far graver consequences for failure. Military contracts have helped accelerate development by offering fewer regulatory hurdles.
Companies are pursuing different strategies. Reliable Robotics retrofits the Cessna 208B Grand Caravan, focusing its certification effort on the autonomous system alone rather than a new airframe. Merlin Labs is working up through progressively larger military aircraft toward commercial cargo planes. The sharpest divide is over artificial intelligence: Reliable avoids it entirely to simplify certification, while Merlin uses AI-powered cameras for object detection and plans generative AI to interpret air traffic control communications autonomously.
Detect-and-avoid is the field's hardest challenge. Reliable has added forward-looking radar with fixed response rules; Merlin uses AI vision; Pyka has relied on lidar but plans to add AI cameras, recognizing that distinguishing a distant aircraft from visual noise is exactly where machine learning earns its place. How autonomous planes will communicate with air traffic control in shared airspace remains unsettled for everyone.
Pilots' groups remain skeptical, calling the removal of human judgment a serious safety gamble. Agricultural aviation representatives note that piloted planes can cover more ground faster. Yet even critics concede that if autonomous systems prove themselves, the safeguards they introduce could make the broader aviation system—piloted and unpiloted alike—meaningfully safer.
Over an alfalfa field in California's San Joaquin Valley, a small aircraft descends toward the crop with no one in the cockpit. The plane is Pyka's autonomous crop-sprayer, and it is flying lower than any human pilot would dare. Russ Marotzke, a flight test engineer at Pyka, watches from the ground. Flying lower means the spray drifts less, which means less chemical is needed overall—a practical advantage that autonomous systems can deliver precisely because they do not have to account for human comfort or caution.
Pyka operates from a converted World War II hangar overlooking San Francisco Bay. The company builds self-flying aircraft without cockpits, designed to spray crops or deliver cargo. It is one of several firms in a quieter but accelerating race to bring autonomous fixed-wing planes into commercial service. While electric vertical takeoff aircraft—the urban air taxis that dominate headlines—have captured public imagination, the real momentum is building in agricultural and cargo work. Michael Norcia, Pyka's co-founder and CEO, speaks openly about the long-term vision: a fleet of minibus-capacity planes ferrying passengers up and down the US coasts. He believes Pyka may reach that goal before the eVTOL industry does.
About 80 kilometers east of the factory, at a test site reached by a dirt road, Marotzke and a colleague are testing a software update. A dozen Pyka aircraft are already operating in Brazil, spraying cotton and soybeans—work that human pilots once performed. The plane itself is fully electric, with a battery in the nose and a 300-liter tank in its middle section. Its 11.5-meter wingspan makes calling it a large drone seem like an understatement. Inside a shipping container beside the field, engineers highlight on a computer the area to be sprayed. The software calculates the route, accounting for obstacles like nearby power lines that have been mapped into the system. The takeoff is smooth. Fifteen minutes later, after the aircraft senses its spray tank running low, it lands itself, receives a manual refill and a battery swap, then resumes spraying from exactly where it stopped.
Autonomy is not the same as autopilot. Autopilot assists a human operator, much like cruise control in a car. Autonomous systems aim to handle the entire flight—takeoff, navigation, landing—with minimal human intervention, using algorithms to process sensor data and control the aircraft. Self-flying planes have emerged more slowly than self-driving cars, despite operating in what should be a more predictable environment. Mykel Kochenderfer, an expert in safe aviation autonomy at Stanford University, attributes this partly to the fact that major tech companies poured vast resources into cars. But the real barrier is regulatory: aircraft face stricter safety standards than cars, and the consequences of failure are far more severe. Military contracts have helped accelerate the technology, offering fewer regulatory hurdles and sometimes direct customers.
In the United States, Pyka's crop-sprayer is the largest autonomous fixed-wing aircraft approved for commercial civilian use. The authorization came last year, though operations remain tightly constrained to agricultural settings and require a ground operator and visual observer. Brazil approved similar operations under more permissive rules. Pyka plans to scale production from roughly two dozen planes annually to 1,000 by 2030, with each aircraft selling for $550,000. The UK has not yet approved such operations, though the British firm Windracers is seeking permission to launch an autonomous cargo service in Shetland and Orkney. Windracers aircraft are already flying missions in Ukraine, designed to carry goods to remote areas.
Companies pursuing autonomy are taking different paths. Pyka and Windracers build aircraft from scratch, arguing this allows autonomy to be designed into the system from the beginning. Others retrofit existing certified planes. Reliable Robotics, backed by Boeing's investment arm, is testing its system on the Cessna 208B Grand Caravan, a single-pilot cargo plane that can carry about 1,360 kilograms over hundreds of kilometers. Retrofitting lets the company focus solely on proving the autonomous system's safety rather than seeking approval for an entirely new aircraft. Merlin Labs is working its way up through progressively larger military aircraft and is now applying its system to the two-pilot Lockheed Martin C-130J military transport plane, with commercial multi-crew cargo planes as the next target.
The companies diverge sharply on artificial intelligence. Reliable Robotics avoids AI altogether, arguing it would complicate certification. Merlin takes a far more AI-centric approach. This divide appears most clearly in detect-and-avoid systems, one of autonomous flight's greatest challenges. A pilot can spot and maneuver around other aircraft and obstacles; an autonomous system must replicate this with virtually no margin for error. Reliable has added forward-looking air-to-air radar to detect other aircraft more than eight kilometers ahead, with software that follows fixed rules for response. Merlin uses AI-powered cameras to detect and classify objects. Pyka has used lidar from the start to detect trees, vehicles, large birds, and terrain, but lidar has limited range, so Pyka plans to add AI-powered cameras for the first time. As Norcia explains, there is no need for AI in most functions, but distinguishing six pixels in the distance that represent an airplane from other visual noise is precisely where AI excels.
The question of how autonomous aircraft will communicate with air traffic control in shared airspace remains unsolved. Reliable's approach is to station a remote pilot on the ground, initially fully trained, to handle radio communications and safety-critical decisions. Merlin plans to use generative AI trained on thousands of hours of recorded air traffic control exchanges to interpret instructions and respond autonomously. Merlin's problem is harder, George acknowledges, but the company wants to move beyond remote piloting entirely. Merlin intends to reduce pilots in stages, from two to one to eventually none. Pyka, for now, is content to let others blaze the trail in shared airspace operations. Pilots' groups remain skeptical. The US Air Line Pilots Association calls removing pilots a serious gamble with safety. The National Agricultural Aviation Association, representing crop-dusting pilots, notes that small uncrewed aircraft are hard to see and that piloted planes can spray larger areas faster. Yet even skeptics acknowledge that if autonomous systems do make their way into commercial aviation, they could make piloted flying safer by introducing more automated safeguards into the broader system.
Notable Quotes
A fully scaled, ubiquitous passenger operation is the holy grail. There's a decent chance we'll get to that point before the eVTOL industry.— Michael Norcia, Pyka co-founder and CEO
Removing pilots is a serious gamble with safety and a step too far.— US Air Line Pilots Association (ALPA)