What happens when a robotics expert and a sixth-generation farmer decide to start a company together? They spend most of their time grappling with one looming problem: climate change.
Science
Is AI the answer to sustainable farming?

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In 2020, Gilwoo Lee, the robotics expert, and Casey Call, the farmer, founded Zordi, an agricultural platform that blends AI and robotics with greenhouse growing. A recent graduate of the University of Washington, Lee was stuck at home during the wildfires. “That was just a very strong signal of climate change happening. I was already committed to starting my own company with something where my robotics and AI can make a big difference when it comes to impact,” Lee said.
Call, who is the head grower and an agronomist at Zordi, says he’d seen the impact of sustainability on his family’s 12,000 acres of farmland in western New York, where they grow peas, beans, corn, carrots, soy, and potatoes. “My whole life, it’s been overwhelmingly convincing that agriculture needs to get more efficient,” Call said.
Zordi, an ag startup backed by Khosla Ventures that just came out of stealth mode, leverages robotics, AI, and conventional farming wisdom to grow strawberries in greenhouses in the Northeast. Under human supervision, robots do everything from plant to harvest a unique variety of strawberries imported from Japan and Korea. The company uses AI and machine learning to monitor the growing process and control the environment inside the greenhouses. They also use robots to harvest the ripe fruit.
Photo by Lakota Gambill for The Verge
Photo by Lakota Gambill for The Verge
Lee says that quality strawberries are complicated to grow, so the market is relatively lucrative. She also said that she chose strawberries because they require particular growing climates and because they’re delicate when they’re harvested.
“If we’re able to do this and actually get them successfully delivered to the stores, then we’re pretty confident that you can extend the harvesting tools to other crops,” Lee said. “I think controlled environment agriculture or greenhouses, for us, is a very good way to feed the world with sustainably grown local fresh produce, and that was the mission that I wanted to see happen,” she continued.
AI applications in sustainable farming
While most people don’t immediately think of artificial intelligence and machine learning when thinking about sustainable agriculture, the industry is brimming with advanced technology thanks to the need to understand vast amounts of information about everything from the microclimate to the soil pH.
“My whole life, it’s been overwhelmingly convincing that agriculture needs to get more efficient”
“A lot of farmers have dashboards for all sorts of information that they get from satellites, on weather, on the sensors,” Vonnie Estes, the vice president of innovation at the International Fresh Produce Association (IFPA), says, pointing out that the massive glut of information is not standardized across agriculture. “If you told us 30 years ago that that’s what we’re going to be complaining about, that would just be nuts,” she said. “This is an interesting problem we find ourselves in, and so that in itself is an area that I think AI is going to have a big impact on.”
There’s no question that profit margins have begun to shrink for farmers all over the country thanks to inflation, climate change, higher production and labor costs, and more. As a result, farmers are turning to advanced technology like AI and machine learning (ML) to find ways to both improve yields and become more sustainable throughout the entire crop lifecycle. Estes says that until the advent of AI, parsing and using that data was nearly impossible.
“Everyone’s been affected by AI,” she said. “I think that from a climate-smart perspective, we’re just going to get more tools that are going to help farmers make better decisions to only use things — like water, pesticides, and other applicants — when they need to use them.”
The rise of technology in farming
Roughly 900 million acres in the United States are used for farming, according to the most recent numbers from the US Department of Agriculture. That represents more than half of the continental United States. As of 2021, 87 percent of US agriculture businesses were using some form of AI to manage their farms. That number is on the rise.
The integration of artificial intelligence and machine learning in agriculture has a relatively short history. The advent of computer technology in the 1960s gave farmers new tools to process larger agriculture datasets. By the late ’80s and early ’90s, a practice known as precision farming began to emerge. This technique sought to optimize crops at a field level, and tools like GPS and field monitoring systems were introduced.
As farmers gathered more information about their crops, yields, and variances in weather and climate, data capture technologies continued to advance, especially as cellphone technology improved. By the 2010s, agricultural drones (UAVs) became in vogue and gathered even more precise information about crops and livestock in real time. The advent of cloud computing and big data further accelerated the adoption of advanced technology in the sector. With the addition of machine learning and AI, farmers can now get predictive analytics for everything from crop yields and disease detection to planting and harvesting times.
“When we say this technology, it can be as broad as computation science in general, or it can be a very specific predictor, or it can be data-driven. Decision-making under uncertainty, or it can be large language models, or it can be deep learning,” Ilias Tagkopoulos, director of the AI Institute for Food Systems (AIFS) at the University of California, Davis said. “Agriculture production is using technologies that now embed AI technologies. For example, drones or tractors, weeding or pesticides administration, and crop management.”
At the same time, farming and agriculture is a relatively large climate emitter, though it does fall well behind more significant emitters like transportation in the US, according to the most recent data from the Environmental Protection Agency. Agriculture is responsible for around one-tenth of the greenhouse gasses in the US. As climate change has taken hold and farmers see the direct impacts on their crop yields, they are increasingly looking for ways to ensure their methods are sustainable and more climate-friendly. Experts say that AI and ML can help them move toward that goal.
The future is more people and less food
The global population is exploding. Estimates indicate that there will be more than 9 billion people on the planet by 2050. That population growth will inevitably put heavy demands on food production, with demand projected to jump from 35 percent to 50 percent by then.
Ranveer Chandra is the managing director of industry research, CTO of agri-food at Microsoft and one of the key people behind two of Microsoft’s AI and agriculture projects: Project FarmBeats and FarmVibes. He says using AI and ML for farming will help meet the needs of the growing global population sustainably.
“[AI] is not a solution, but it’s a very powerful enabler,” Chandra said, noting that farmers tend to make agricultural decisions based on guesswork and historical knowledge. “The vision that we have is to replace guesswork with data and AI. And it’s not to replace a farmer but to augment the farmer’s knowledge with data,” he said.
“[AI] is not a solution, but it’s a very powerful enabler.”
Chandra points to factors like the global population, drought, soil depletion, and climate change, all of which put increasing pressure on farmers. “AI has to play a key role in addressing some of the biggest gaps around sustainably nourishing the world,” he said. “Given all those challenges, you have to grow better food, and you have to grow it without harming the planet. And in order to do that, you need to make good, smarter decisions. Artificial intelligence can really help you do that.”
Some of those decisions come down to when and how to precisely apply everything from water to pesticides at the individual plant level.
John Deere is a significant player in the space with their “See & Spray” technology, which leverages machine vision, cameras, and sensors to precisely apply the exact amount of material at the individual plant level. Jorge Heraud is the VP of automation and autonomy at John Deere and the CEO of a company that Deere bought back in 2017 called Blue River Technology. Heraud and his team developed the See & Spray technology, which he says will help farmers grow more food without overspraying or wasting water or fertilizers.
Typically, farmers would spray an entire field with water or herbicides. The system Heraud created uses a sprayer mounted on a 120-foot boom alongside cameras and “very fast” computers that collect real-time images of the plants directly in front of the sprayer. The system can determine the difference between a weed and a crop plant and only spray the weed.
“We spray only about one-third of the herbicides you would spray, and this is very good,” Heraud said. “You’re putting a lot less herbicides into the ground. You’re helping the farmer’s profitability because you’re producing more with fewer inputs with less herbicide, and even consumers benefit from having fewer substances go into our food chain.”
Another significant piece of the sustainability puzzle is food waste. Chandra at Microsoft says that we waste around 30 percent of the food we grow due to everything from overripeness to crop damage. Estes says that having more data on the sugar content as a vegetable or fruit grows can help farmers determine when to harvest it so that things like water, pesticides, and other materials aren’t wasted.
Even small farmers are embracing the AI boom
While the broader adoption of AI and ML has meant big business opportunities for large companies like Microsoft and John Deere, it’s also played a significant role for smaller, organic farmers. Andrew Carter, the co-founder, and CEO of Smallhold, a controlled-environment organic mushroom farmer with locations in New York, Texas, and Los Angeles, is one example. As Carter says, mushrooms are complicated because they require a special combination of high humidity and airflow and low temperature to grow. These factors tend to work against each other.
“When you want to do it all in one room and not waste a bunch of water and energy, like cooling and ventilating, then it becomes extremely complicated and becomes a computer problem rather than a human problem,” Carter said.
Smallhold has developed a computer and hardware system that captures and communicates all of the information in individual grow rooms and runs specialized “recipes” for each room based on the type of mushroom being grown there. “We can run analysis on any of the data that we’re getting and then run it through our ERP system, which is basically understanding how much volume we have, how much volume we’re going to need, understanding the sales aspect of it, and in turn allowing us to control the chamber’s in different ways to make sure that the mushroom is harvestable at the right time.”
AI risks
While advocates are quick to talk about the positive sides of AI and sustainable farming, there are some potential drawbacks and risks around the technology.
“Farming requires a lot of specific information – about the farm, what has been done on the piece of land, and what works best where,” Chandra said. “Consequently, applying AI without human supervision might lead to unexpected results.” He said that Microsoft doesn’t see AI as a replacement for the farmer but as a tool to augment their knowledge.
There’s also the issue of security threats, Chandra notes. “Farm operations are a business that haven’t been exposed to a lot of these kinds of technologies. So, farmers would need appropriate security tools and awareness when using AI.”
Researchers have been warning that handing agriculture over to AI could pose some significant risks. They point out that hackers could poison datasets or shut down sprayers, autonomous drones, and robotic harvesters and wreak havoc on the food supply chain.
Labor and inequality concerns are also an issue. Farm work relies on migrant labor, and a recent study suggests that most farm labor will become white-collar work as the AI transition takes hold. Instead of harvesting the produce, workers will supervise the machines doing the work. While the founders of Zordi say that, anecdotally, many of the laborers they work with in their greenhouses have welcomed the advanced technology shift, there is, as researchers have pointed out, a risk that the technology will widen gaps between skilled and unskilled labor, which could lead to even more income disparity in agriculture.
There is also the connectivity issue. In order for AI and ML to work for agriculture, rural areas need broadband. According to a 2021 report by Pew Research Center, the digital divide between rural and urban communities remains a factor. The Biden administration has made an effort to close this gap thanks to the infrastructure law introduced in 2021, but the buildout will take time.
“Farm operations are a business that haven’t been exposed to a lot of these kinds of technologies”
Once that connectivity is in place, there’s also the issue of data ownership. Larger companies will likely benefit the most from the implementation of AI and ML in farming because it will give them more access to monetizable data. At this point, because AI, ML, and robotics are still so advanced, the cost of implementing these tools is very high and well out of most farmers’ financial reach, according to Estes at the IFPA, though she notes that even small farmers benefit from it. “One way to look at it,” she said, “is that they are getting the result of it even if they’re not using AI on their farm.”
Smart farming is here
Beyond unique mushrooms and strawberries, AI is also having a larger impact on agriculture in developing nations.
Jawoo Koo co-founded CGIAR’s platform for big data in agriculture. CGIAR is a global research partnership focused on food security in the climate crisis. He is also a senior research fellow at the International Food Policy Research Institute.
“To make this technology really impactful for those small-scale farmers, the large-scale farmers actually have to do a lot of different types of testing in the environment,” Koo said. “It’s usually a time-consuming process, but now, we have a better way to do that.” He referenced the 1000farms project he’s been working on.
“That data is becoming a kind of predictive modeling to keep a better estimation around productivity potential for new seeds and also targeting those microenvironments. It’s not just designed for an entire country or large area, you can pinpoint, or when a farmer asks for information.”
As agriculture faces growing challenges from climate change, fewer resources, and increased global food demand, AI and ML could offer powerful tools for farmers to adapt. Prominent players like John Deere and Microsoft, alongside smaller farmers and startups, are pushing the frontier of smart agriculture. While AI isn’t likely to replace the farmer, it will continue to significantly augment decision-making in the effort to move agriculture toward a more sustainable, efficient, and climate-friendly future.
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How AT&T, Verizon, and T-Mobile are responding to the LA wildfires

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As wildfires continue to devastate parts of Los Angeles County, hundreds of thousands of residents are without power as utility crews work to restore connectivity. Mobile carriers are also taking action to keep their services online and provide relief to affected residents.
Here’s how major carriers are responding.
In an update on Thursday, Verizon said it will waive call, text, and data usage incurred by prepaid and postpaid customers in Los Angeles, Orange, Riverside, San Bernardino, San Diego, and Ventura counties from January 9th to the 18th. Verizon will automatically credit customers if they were billed for overages during this time.
Additionally, the company is extending service end dates for customers using prepaid services, including Straight Talk, Tracfone, Total Wireless, Simple Mobile, Walmart Family Mobile, Net10, GoSmart, and Page Plus, until January 18th, 2025. It’s also working with LA County officials to “aggressively deploy portable generators and mitigate impacts for those customers affected across the area.”
T-Mobile is similarly offering unlimited talk, text, and data for T-Mobile and Assurance Wireless customers across Altadena, La Cañada Flintridge, Los Angeles, Palisades, Pasadena, and Sierra Madre from January 8th to January 15th.
Meanwhile, the T-Mobile-owned Mint Mobile will increase the available data for users on 5GB, 15GB, and 20GB plans to 50GB through their current billing cycle, while Mint Unlimited customers in the area can use up to 2TB of high-speed data with no hotspot restrictions.
T-Mobile is also teaming up with SpaceX’s Starlink to temporarily deploy an “early test version” of its direct-to-cell satellite service, allowing people in affected areas to receive wireless emergency alerts and send SMS texts. At the same time, T-Mobile is working to deploy and refuel portable generators to keep its network online.
AT&T will waive overage charges for prepaid and postpaid customers affected by the wildfires through February 6th. The company notes that customers in parts of Los Angeles, Orange, Riverside, San Bernardino, San Diego, and Ventura counties may experience home phone and internet disruptions due to power outages in the area.
Along with continuously deploying and refueling generators, AT&T has dispatched its disaster response team to help keep its wireless and wireline communications up and running. Its FirstNet Response Operations Group — a team led by former first responders who help during emergencies — “have been deployed to support firefighters and other first responders on the front lines where they need connectivity the most,” according to AT&T.
Though Starlink isn’t a mobile carrier, it’s still working to provide LA County residents with satellite internet connectivity. Residents impacted by the wildfires can access Starlink for free through February 10th by placing an order through starlink.com/residential and choosing the “Disaster Relief” service plan. However, users still need to purchase a Starlink kit to access the free service.
Customers who already use Starlink will receive a one-month service credit.
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Joe Biden’s national climate adviser sees AI as a ‘massive opportunity’

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Sure, President-elect Donald Trump is probably going to try to blow up efforts to tackle climate change as soon as he steps into office. There still isn’t enough renewable energy available to reach US climate goals or even meet skyrocketing electricity demand from AI. And time is running out to spend down climate funds from the Inflation Reduction Act before the Trump administration can attempt to claw it back. Despite it all, Joe Biden’s top adviser on climate change, Ali Zaidi, isn’t sweating it.
He’s managed to keep the perhaps cloyingly upbeat optimism that’s become a trademark of the Biden and Harris camp even when that enthusiasm doesn’t necessarily reflect sentiment on the ground. The Verge spoke with White House national climate adviser Zaidi this week about what he sees ahead for clean energy technologies and where there might still be room for progress.
This interview has been edited for length and clarity.
You have a background in law. How did climate change become your thing?
I came to the United States at the age of six, and for me, for my family, the story of America is the story of economic mobility. I really came to Washington wanting to work on putting more rungs in the ladder into the American dream, and it turns out that the biggest economic opportunity of the moment is tackling this crisis that impacts the most vulnerable Americans and the most vulnerable folks around the world.
“A tech-agnostic race”
I did not come to this work from the tree hugging side of the movement. I came to it with real, deep conviction that this was my way to give back to the economic opportunity engine that this country has been for so many who strive to reach the American dream.
President-elect Donald Trump says he’ll take the US out of the Paris climate accord and “drill, baby, drill.” How worried are you about the Trump administration undoing progress the US has made on clean energy?
You know, I think that US progress will continue in a pretty robust way. This project is not just a project about climate and reducing emissions. It’s a project of invigorating our energy security and bringing economic revival to places that have been left out and left behind.
The incentive to finish the job is stronger because the incentive is shared, and that’s how we’ve structured it on purpose. The other thing that I think is really powerful is that we’ve really set out a tech-agnostic race to net zero emissions as the North Star.
When we talk about decarbonizing the electricity grid, making it more modern, making it more resilient, sometimes that conversation is caricatured as a conversation about solar and wind. But look at what’s been happening in the United States, you’ve got a mega project now under construction in Utah. It’s a two gigawatt project, the size of the Hoover Dam in terms of electricity that’s going to produce power from hot rocks under our feet — geothermal energy. You’ve got wind, not just being deployed on the plains as it has been for decades, but now delivering electricity from offshore.
You have a nuclear renaissance taking place in the United States, the first new nuclear reactor in decades. I was there in Georgia as it came online. Plants that have been retired, like the Palisades plant in western Michigan. I went to the Palisades plant coming out of retirement, the workers coming out of retirement to bring electricity back to the grid and the next generation of reactors.
We, as a federal government, should be a partner in helping catalyze all of that progress, whatever shape it takes. And you see that repeated in other sectors. With the transportation sector, it doesn’t matter to us if it’s strong, hybridization, fully electric, hydrogen, sustainable aviation, or biofuels. What we care about is two things: bending the curve of emissions and widening the aperture for economic opportunity.
The culture war over clean energy often swirls around this idea of individual choice — I should be able to choose to drive a gas-guzzling car if I want to or cook on a gas stove instead of going electric. What’s your take on that?
We have to meet people where they are as we take on the climate crisis, period, full stop. One of the things that the world has learned so clearly about decarbonization is that there is no social license for decarbonization pathways that put upward pressure on consumer prices. So part of decarbonization has to be about making people’s lives better, delivering a better product, winning them over.
We saw this with LEDs. I was around at the beginning of the Obama administration when, for the first time, the United States got in the business of manufacturing LED lightbulbs. They used to cost a lot of money, but there was a technology cost curve there. And because we invested in it, the US was able to help make those cheaper and more affordable, and it turned out to be a better product. And now, across the country that technology is ubiquitous. I think that’s the way we win the future, is by delivering people a better product that also, by the way, doesn’t pump a bunch of pollution into the sky.
Countries that have signed onto the Paris agreement are supposed to update their national climate plans this year, and the Biden administration submitted a more ambitious plan last month of cutting greenhouse gas emissions by more than 60 percent by 2035. How can the US still achieve that goal?
I think the way we go the distance and meet this next target in 2035 is by continuing to invest in America, and here’s what that looks like. The farm bill will be in front of the Congress. It’s overdue, but it will be in front of this next Congress. They have an opportunity to act on whether they invest in increased total factor productivity in the agricultural sector. Turns out precision agriculture is also climate-smart agriculture. So will Congress, through the farm bill, invest more into climate-smart agriculture, into precision agriculture technologies, into the things that shore up the economics of our family farmers and boost the competitiveness of the sector?
What we’re seeing at the state level is a massive mobilization to continue to accelerate decarbonization on the grid and in the transportation sector. There’s also this incredible industrial capacity. When we came into office, you barely made any batteries in the United States. Tesla, maybe a few others, but very limited battery capacity. By 2030, factories that are already underway, either operating or in construction, will have the capacity to manufacture 10 million vehicles’ worth of batteries in the United States. We sell, on average, 15 million vehicles a year. I think you’ll actually see private capital continue to build on the momentum of that transformation.
And so another reason we think we’re going to keep picking up momentum is because private capital sees the win and is actually going to continue to make that bet in sectors like power and transportation. Clean energy is literally cheaper than dirtier power. And so that’s just where the smart money is going. In 2024, for example, we expect that 96 percent of what will have been built will be clean energy.
I think what we will need to do more of as a country — and that means state and local as well — is help families cut their utility bills at home. There’s this massive opportunity in our built environment to reduce energy waste and put consumers in control of their energy bills. And if we do that, that’s obviously great retail-level economics. It’s also going to be a big win for the climate.
When it comes to lowering Americans’ utility bills and taking action on climate change, one of the concerns I hear a lot about is AI and the energy demand of data centers. How are you thinking about that?
I’ve joined meetings with CEOs of the technology firms. I’ve also met with CEOs from the electricity sector. There is a consensus in industry and there is a consensus in the US government that we will and must seize the leadership opportunity in the development of AI technologies. And that means we must take away the barriers deploying clean power on the grid that is necessary to facilitate the buildout of these data centers.
I have full confidence, not only in the federal government and in the technology entrepreneurs and their companies, but in state and local governments that they see the economic opportunity, they see the security imperative, and they also get that deploying clean power in almost all cases will be the cheapest, fastest, and safest way to get electricity to these new data centers.
And so I don’t see these objectives at cross purposes with one another. I actually see AI as an accelerant to our ambition on the electricity grid. AI as an accelerant to advance grid modernization. This is a massive opportunity. But I also am the person who often sees opportunity in headwinds. So maybe that’s my bias.
We have to talk about the Inflation Reduction Act — the biggest piece of climate legislation to date, creating $369 billion for climate action and clean energy. But Trump says he’ll rescind any unspent funds. How much is left to dole out?
Very little. I remember this was a Google doc on my computer back in the summer of 2020 and Zoom calls with, at the time, the candidate. One of the big things that we did when we were designing what became the Inflation Reduction Act was to make sure it was structured in a way that reached every part of the economy. That it was structured in a way where the IRA came in, or the government came in, as booster packs to a rocket. The rocket was the private sector. And I think what you find with the Inflation Reduction Act now is that the rocket’s achieved escape velocity in so many parts of the economy. You’ve got 100 gigawatts of energy that relied on these tax credits to get off the ground, but now it’s up in the air. It’s flying. You can’t put that back in the bottle.
On the unspent funds, we are at a place where we’re north of $9 out of every $10 of grant funding and other similar dollars that have already hit the economic bloodstream across the country.
The question then becomes, do you want to go and unplug economic opportunity that is now responsible for thousands of factory jobs and construction jobs all across the country? And I think that’s both a challenging economic proposition and also a very challenging political proposition. It’s why what you’ve heard even in Congress is that maybe they are interested in a scalpel approach, if I’m quoting the incoming speaker. That is still quite challenging. The way I think about it is, you know, Jenga blocks. When you’re pulling the blocks out of a Jenga tower, you don’t know which one is going to threaten the structural integrity of the whole thing.
We are in a moment of economic uplift and revitalization, a manufacturing renaissance. America at the frontier of energy security and energy technology, finally fighting to win the global competition and pulling along jobs and opportunity at the local level. I don’t know that I would want to be in the business of pulling blocks out of the Jenga tower, but we will leave that to the judgment of the team that comes in in a few weeks.
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Drone takes out Super Scooper fighting Los Angeles wildfires

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An aircraft helping to fight wildfires that are raging across Los Angeles was struck by a civilian drone on Thursday. The collision damaged the wing of the aircraft — a CL-415 “Super Scooper” capable of scooping up 1,600 gallons of ocean water to drop onto nearby blazes — according to a statement by the LA County Fire Department posted on X, putting it out of service until it can be repaired.
Cal Fire spokesman Chris Thomas told The New York Times that grounding the aircraft will likely set back local firefighting efforts. Super Scoopers can typically refill in about five minutes. But even if it takes ten, that’s six water drops that are lost each hour according to Thomas. “So whose house is not going to get that water to protect it?” The Federal Aviation Administration (FAA) says the Super Scooper landed safely after the drone impact, and that the incident is now under investigation.
Temporary flight restrictions have been implemented in the Los Angeles area that prohibit drones and other aircraft from flying without FAA authorization in an effort to protect firefighting efforts.
According to LA County Fire Chief Anthony Marrone, the drone was not assigned to help tackle the Palisades fires, and was destroyed in the collision. Marrone told the LA Times that the FBI is now planning to implement so-called “aerial armor” in the area to prevent further interference from drones.
Several people online have violated the FAA-enforced flight restrictions, posting viral drone photos and video footage across social media showing the devastation from what appears to be prohibited airspace. Fire response agencies are often forced to ground their own aircraft to avoid collisions when dummies fly drones near wildfires for online clout.
“It’s a federal crime, punishable by up to 12 months in prison, to interfere with firefighting efforts on public lands,” the FAA said in a statement. “Additionally, the FAA can impose a civil penalty of up to $75,000 against any drone pilot who interferes with wildfire suppression, law enforcement or emergency response operations. The FAA treats these violations seriously and immediately considers swift enforcement action for these offenses.”
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