IntelinAir featured on WCIA: Start Up Develops Product Like MRI for Farm Fields

IntelinAir was recently featured on WCIA-TV in Champaign, Ill., in a story that included commentary from our director of operations, Bob Coverdill.

Champaign, Ill.—A start up business at the University of Illinois Research Park could help farmers across the state and beyond. We’ve seen companies take pictures of fields from the sky. Workers at IntelInAir plan to do that and more. They’ll be able to pinpoint problem spots for farmers to check out.

Company leaders say they know farmers are busy, so they want to make this as easy as possible. They’re basically making an MRI image of fields. They plan to send airplanes to take pictures once a week, probably between 10 am and 2 pm, since that’s when the lighting is best. Those pictures will be analyzed with a specific algorithm to show which areas need more attention, because they’re damaged, have weeds or need more nutrients. The results will come right to the farmer.

You can watch the original broadcast and read the accompanying article here.

IntelinAir Named to the Five Most Innovative Startups in 2016

 

SAN JOSE, Calif. (January 23, 2017)IntelinAir, Inc. is excited to announce that the company was awarded by the inaugural AgFunder Innovation Awards for 2016 as one of the Top 5 Most Innovative US Pre-Series A Startups.

 

“We are honored to be considered as one of the top innovators in bringing cutting edge and transformative technologies to the all-important agriculture industry. In the next few years, the exponential technologies of computer vision, machine learning and robotics will increasingly converge to help growers produce more food, more efficiently, and achieve greater financial returns in the process,” says Al Eisaian, CEO of IntelinAir.

 

“IntelinAir is delighted to receive this recognition and grateful for the tremendous work AgFunder is doing to connect the players who are hard at work in advancing this new era of agriculture,” Eisaian said. “We’re very proud of this honor and certainly acknowledge the great company we keep in this category—collectively, IntelinAir and the other honorees are increasing the momentum for the digitization of agriculture to meet the significant challenges ahead in feeding an exploding global population and doing so in a sustainable manner.”

 

The AgFunder Innovation Awards seek to recognize the most innovative agriculture technology startups that are driving the industry forward.

 

IntelinAir’s Ag-MRI™ Intelligence System leverages high-resolution aerial imagery, data from the field and equipment, and deep learning analytics to provide farmers an advanced monitoring and intelligence system. This intelligent system with its timely insights provides growers a comprehensive picture of in-season crop performance, which they can use to make better and more profitable decisions in managing their fields. The Ag-MRI solution is currently available for corn and soybean crops.

 

For more information about IntelinAir and the Ag-MRI Intelligence System, please visit www.intelinair.com or follow @IntelinAir on Twitter. For a live in-person or web demo, please email sales@IntelinAir.com.

 

About IntelinAir
IntelinAir, Inc., is an aerial imagery analytics company focused on agriculture that delivers actionable intelligence to help farmers make data-driven decisions to improve operational efficiency, yields, and ultimately their profitability. IntelinAir combines the power of aerial imagery analytics through traditional computer vision and modern deep learning methodologies, agronomic science and user-friendly interface (mobile) technologies to deliver near real-time decision support to farmers. The company’s flagship solution AG-MRI™ is a field health monitoring and early-warning system that enables farmers to manage their operations proactively and with confidence. The company, founded in 2015, has dual headquarters in Champaign, Illinois and San Jose, California.

 

For more information, please contact Carrie Walsh, 816.522.1434.

Views From Above Take Crop Scouting to the Next Level

By Bob Coverdill, Director of Flight Operations

I spent nearly 20 weeks this summer piloting drones over Illinois corn and soybean fields as part of the IntelinAir R&D team. I learned that while those fields may look very similar when you drive by at 55 mph, viewing them from above provides an entirely new perspective. The hundreds of thousands of high-res images we acquired using our multispectral cameras served to make one point clear to me: the ability for a farmer to monitor the progress of crops from above is a critically important perspective that will allow new insights to make more informed decisions, both this year and in the future.

This growing season IntelinAir had multiple flight teams of licensed pilots and engineering assistants flying drones equipped with high resolution multispectral cameras over thousands of acres of fields, including Illinois corn and soybeans, vineyards in California, and research plots in the northern Great Plains. While we focused on imagery from drones this year, we are looking to dramatically scale up the coverage in 2017 when we will add imagery from manned aircraft.

Every seven days from May through September we captured imagery data on the same set of R&D program fields and were able to examine at a very granular level the growth and health of plants from week to week. The proprietary software developed by IntelinAir engineers is a powerful and unique solution that can take the thousands of images of each field, compile them into one field image, and then identify the anomalies in that field in a clear and concise manner. What has changed from one week to the next? Are there specific spots in a field where a farmer or agronomist needs to go look in person? The insight gleaned goes far beyond what traditional imagery technology can provide.

The new and disruptive technology IntelinAir has created is the modern day equivalent of finding a needle in a haystack: finding a potential problem in a few plants in a few rows of a 160 acre cornfield. (Did I mention that the majority of acres in the U.S. Corn Belt are planted at 30,000 to 36,000 corn plants per acre?) It could be a weed infestation, lack of nitrogen, or disease issue – all with the potential to reduce yield.

Early in the growing season, some of these issues can be seen by a farmer or agronomist scouting fields; however, as corn plants mature to their full height, from the ground it is difficult to see beyond the first few rows of the field’s edge. And, even early in the season, it is nearly impossible for farmers to cover all of their hundreds or thousands of acres on a regular basis.

That’s where IntelinAir comes in. Taking aerial images on a regular schedule and using our proprietary technology to identify anomalies or changes gives farmers a blueprint to take their crop scouting efforts to the next level. They will now have GPS coordinates to find the potential problem zone – a map that points out exactly where the “needle” can be found.

Even more importantly, once they find a problem, they can very intentionally and specifically treat it in a smaller, more focused area. That focused approach will save time and resources that might previously have been used to treat an entire field, or missed entirely and resulted in lost yield. It is also a more sustainable approach for farmers who want to use only the crop protection, fertilizer and water resources that the crop needs, helping to protect our environment.

As farmers are wrapping up the 2016 harvest season, we’re looking forward to combining the data from growing season imagery with final production results to create comprehensive reporting packages that will give growers insights they’ve never had before. These results, combined with their own experience, will help them develop a strategic plan for 2017 that is an optimal, profitable, and sustainable fit for their operation.

IntelinAir Strengthens Team with Computer Vision and Mass-scale Cloud Engineering Veterans

SAN JOSE, Calif. (November 14, 2016)—IntelinAir today announced that Dr. Ara Nefian has joined the company as co-founder and chief technology officer and will direct all research and development activities for the company. Additionally, VMWare veteran David Wilson has come on board as VP of web and cloud engineering, responsible for leading efforts to integrate and deliver industrial-strength ultra-high-volume image processing and data analytics in intuitive user interfaces.

“Ara brings his vast experience and extraordinary accomplishments in computer vision and machine learning—working on high-profile space projects and in academia with Carnegie Mellon University, as well as with such industry leaders as Intel and Nokia—to accelerate IntelinAir in executing its mission of helping the globally important agriculture sector leverage aerial imagery analytics to make better decisions, deliver higher yields and meet the challenges of an exploding global population,” said Al Eisaian, IntelinAir co-founder and CEO. “David Wilson’s two decades of architecting and delivering high-volume computing environments and applications adds a tremendous foundation for IntelinAir as we emerge from early-customer adoption to wider customer adoption.

“We are excited to welcome Ara and David to our leadership team at this critical juncture as we make our aerial imagery analytics solution, Ag-MRI™, more widely available for farmers seeking actionable insights to better manage the performance of their crops with timely in-season decisions to obtain better returns on their investments,” Eisaian said.

Dr. Nefian is an expert in the areas of computer vision, machine learning and robotics. Over the last 15 years, he was involved in several high impact projects in the fields of robotics, planetary navigation, and planetary mapping. He holds 10 U.S. and international patents and has co-authored more than 80 research papers. He earned a BSEE from Polytechnics University of Bucharest and a MSEE and PhD from Georgia Tech.

“Agriculture is set for a new data-enabled revolution in the coming years. The need to sustain a growing population, as well as the recent advances in artificial intelligence, sensor technologies and flight operations from drones to satellites, are precursors to these events. IntelinAir has assembled an experienced and motivated team to lead this effort that will literally change agriculture of the next few decades, and I am happy to join the team,” Nefian said.

Wilson is a software architect with 25 years of experience and a strong track record of delivering solutions to the unique challenges facing startup technology companies. Most recently, he led a large and geographically diverse team at VMWare, designing and building high-scale data analytics platforms for VMWare Cloud Management. He earned a bachelor of science degree in Information and Computer Science from the University of California, Irvine.

“I am excited to be part of this energetic team. IntelinAir is poised to bring big data analytics to the agriculture industry. We have the right team and experience to bring products and services to market that will help farmers around the world achieve the most from their fields,” Wilson said.

IntelinAir’s Ag-MRI™ Intelligence System leverages aerial imagery, data from the field, and deep learning analytics to give farmers an accurate picture of crop performance in-season that they can use to make better decisions about managing their fields.

For more information about IntelinAir and the Ag-MRI Intelligence System please visit www.intelinair.com or follow @IntelinAir on Twitter.

About IntelinAir

IntelinAir, Inc., is an aerial imagery analytics company focused on agriculture that delivers actionable intelligence to help farmers make data-driven decisions to improve operational efficiency, yields, and ultimately their profitability. IntelinAir combines the power of aerial imagery analytics through traditional computer vision and modern deep learning methodologies, agronomic science and user-friendly interface (mobile) technologies to deliver near real-time decision support to farmers. The company’s flagship solution Ag-MRI™ is a field health monitoring and early-warning system that enables farmers to manage their operations proactively and with confidence. The company, founded in 2015, has dual headquarters in San Jose, Calif., and Champaign, Ill.

For more information, please contact Carrie Walsh.

A Tale of Two Sciences—Artificial Intelligence Meets Agronomy

By Dr. Harold Reetz, Senior Agronomist

If 29-year-old me were here in the present day looking at what’s going on in agriculture, I can’t help but wonder what would be going through my mind—“Do I believe what I am seeing?” or “Am I inside a Sci-Fi movie?”

Plant breeding, soil science, entomology, and meteorology are all branches of science we frequently use in the same context with agronomy. Artificial intelligence has not typically been on that list, but we’re learning more and more that artificial intelligence and agronomy are a pretty good match up of sciences.

As a crop physiology graduate student at Purdue University in the mid-1970s, my PhD thesis project was a model that analyzed the effects weather had during various growth stages of a corn crop. The project included a mix of computer and manual data capture—pretty advanced for its time, but quite archaic by today’s standards.

Fast forward 40 years, and it is clear agronomy has come a long way over the past few decades. Today we’re able to put an entire field under an X-Ray machine—metaphorically speaking—thanks to the convergence of farming’s biological and physical sciences with such new partners as artificial intelligence, computer vision, and robotics. It’s all now part of 21st-century agronomy. This visualization is only possible because of the integration of the tools that deliver these solutions: super computers, high-resolution camera lenses, data storage devices, deep learning and neural networks, temporal and spatial analysis, and spectral signatures and pattern mapping.

An Agronomist’s Dream Becomes Reality

Our long-held dreams of using satellites and computers to guide crop and soil management are now a modern-day reality that goes far beyond what we had ever imagined.

Precision agriculture made its grand entrance in the 1990s, giving us our first glimpse of the high-tech future of farming. Farmers were slow on the uptake, however. I think back to our inaugural InfoAg Conference in 1995, and farmers’ adoption of precision ag practices at the time was maybe a mere 20 percent. Those statistics slowly and steadily began improving after the turn of the century; but despite wider adoption, we hit a threshold with precision ag where it needed some gas to boost it into the next dimension.

I joined the IntelinAir team because I saw the developers and engineers accomplishing tasks we could only dream about doing 20 years ago, and it’s that boost of power that I believe can take precision ag to the next level.

Site-specific, precision farming has always involved relating different layers of information based upon their geo-referenced data points. In a 1994 sketch, I illustrated that concept as a series of information layers underlying a field with various crop production practices. Introduction of GIS has allowed us to geo-reference all aspects of the production system, so we can track everything that happens to a crop and how all of these factors vary across the field.

In reality, there are hundreds of possible data layers that can be related in time and space to guide crop management decisions. But in the early years of precision agriculture, we didn’t have the computing power to capture, store, or analyze this much data.

Computers today are able to see what’s invisible to the naked eye. Cloud networks are able to store infinite amounts of data. Sophisticated algorithms are able to interpret that data and use models to understand and predict how the crop will vary across the field. My mobile phone today has more power as a decision-making tool than was available on my 1990s desktop computer.

Data on Every Single Plant

In the 70s and 80s, we had access to county-level data, at best. Today, data points are collected by a wide range of sensors, and many decisions are made with algorithms and models that guide a wide range of controllers. The density of the sampling is on a finer grid that until now was inconceivable. The granularity of the data plus the frequency with which we’re able to capture it gives us more data than ever to work with. Instead of measuring just one particular section of a field, we can gauge health, stress, and nitrogen deficiency for every single plant.

With its aerial imagery analytics, IntelinAir today is capturing imagery data down to 2-cm resolution and collecting millions of data points from a single field. These data can be related to static data like soil survey information and weather that are two of the key factors in within-field variability.

IntelinAir’s Ag-MRI™ Intelligence System can integrate data from various sources (soil, weather, planter, yield monitors) and relate it back to the imagery data using algorithms that explain the variability—why yield is different in one area of the field over another. Once the anomalies are detected, the agronomist and farmer can investigate further to pinpoint the cause. This understanding of what causes yield variability within a field is the first step toward really using site-specific precision agriculture technology in the way it was intended—to make better-informed management decisions.

Past, Present and Future

Is this the farm of the future we envisioned back then, or is this the stuff movies are made of?

Contrary to what it sometimes may seem, it’s not science fiction. These are the real-life, high-tech methodologies IntelinAir and other companies are bringing into agriculture to make processes more efficient and lead to better decisions for improving yield and productivity.

What my colleagues and I worked on all those years ago (along with so many others around the world before and after us) laid the groundwork for getting to where we are today and where we’re going in the years ahead. I’m excited and proud to be part of the past, present and future of agronomy.

IntelinAir Connects Ag-MRI™ Intelligence System with the John Deere Operations Center

SAN JOSE, Calif. (October 31, 2016)—IntelinAir’s Ag-MRI™ Intelligence System is now connected with the John Deere Operations Center through John Deere’s API services. This integration will enhance the value of IntelinAir’s Ag-MRI (Measurable & Reliable Intelligence) Intelligence System that allows farmers to integrate aerial imagery analytics with their operational and in-field data to deliver a comprehensive health analysis for their fields.

IntelinAir is an aerial imagery analytics company that uses sophisticated computer vision and machine learning algorithms to recognize complex patterns and variants and alert farmers of potential production issues throughout the growing season.

“Just as a medical MRI uses high-precision imagery to detect issues in the human body, IntelinAir’s Ag-MRI Intelligence System can pinpoint trouble spots and give farmers guidance on what to prioritize in their fields,” said Al Eisaian, Chairman & CEO and of IntelinAir. “We’re excited that farmers will be able to seamlessly integrate their operational data with our Ag-MRI Intelligence System through the Operations Center. They will be able to turn their vast data assets into actionable information that allows them to improve their productivity and generate significantly more profits.”

The IntelinAir Ag-MRI Intelligence System has been in extensive testing and validation phase over thousands of acres of farms this past season with our core initial customers and will be available to growers for the upcoming 2017 growing season.

“By combining high resolution aerial imagery analytics, advanced agronomic sciences, and proprietary algorithms derived from computer vision and deep learning methods, we provide a detailed and actionable picture of what is happening in a farm field throughout the growing season,” said Eisaian.

For more information about IntelinAir and the Ag-MRI Intelligence System please visit www.intelinair.com or follow @IntelinAir on Twitter.

About IntelinAir

IntelinAir, Inc., is an aerial imagery analytics company focused on agriculture that delivers actionable intelligence to help farmers make data-driven decisions to improve operational efficiency, yields, and ultimately their profitability. IntelinAir combines the power of aerial imagery analytics through traditional computer vision and modern deep learning methodologies, agronomic science and user-friendly interface (mobile) technologies to deliver near real-time decision support to farmers. The company’s flagship solution Ag-MRI™ is a field health monitoring and early-warning system that enables farmers to manage their operations proactively and with confidence. The company, founded in 2015, has dual headquarters in San Jose, Calif., and Champaign, Ill.

For more information, please contact Carrie Walsh.

From Planes, Trains and Automobiles to Planes, Drones and Satellites

By Greg Rose, VP Product and Co-Founder

The classic comedy Planes, Trains and Automobiles features two mismatched traveling companions finding their way home for the holidays on a haphazard combination of airplanes, trains and cars, and enduring all manner of delays along the way.

As a Chicago native, I can identify with the pitfalls that come with winter travel in the Midwest.

In my role developing products and technology at IntelinAir, I can also relate to the movie’s title. Just like it took a combination of transportation sources to get Steve Martin and John Candy home, I believe it takes a combination of aerial imagery sources for today’s farmers to get the information they need to make decisions during the growing season.

The images provided by planes, drones, and satellites have each evolved to provide valuable data for agriculture today. They all have benefits and drawbacks, which can be evaluated by budget, resolution, and timing.

I like to think about imagery in terms of resolution and the decisions that can be made with each level of detail. Each level provides a new perspective and opportunities to take actions based on those perspectives:

“To the Field or Zone”
Satellite imagery is often the most accessible and affordable way for growers and agronomists to get insight into their crops at the field or zone level. However, it comes with significant trade-offs for both timing and resolution. Images are taken on a schedule determined by the satellite provider, and if there is cloud cover or other weather issues on the scheduled date, no image can be taken. This is particularly challenging in the Midwest where cloud cover is common during critical parts of the growing season.

Resolution from satellite data is typically in meters per individual pixel, which means it’s not possible to distinguish the individual row or plant. It’s most appropriate for field or zone level analysis. This analysis is similar to an early screening in medicine: The satellite imagery can provide a high-level overview of crop conditions and point out potential problem areas for a farmer to investigate further.

“To the Row” or “To the Plant”
It’s possible to use both manned airplanes and drones to capture higher resolution imagery in the 5- to 20-cm range. This higher quality resolution makes it possible to move from the field level to seeing rows and even individual plants. Analyzing imagery at the row or plant level allows us to learn significantly more about plant health and growing conditions. We can see the impact of too much water, variation in nitrogen fertilizer levels, issues in emergence, and other issues. It’s at this resolution that the core of IntelinAir’s analytics are focused.

The cost of contract flights vary and are typically proportional to the resolution of the imagery. There is also additional flexibility with timing because flights can be scheduled to a specific timeline and can be adjusted for weather or cloud cover as needed. Drones have rapidly gained popularity in agriculture and provide the highest flexibility for growers or agronomists who own their own drones and equipment or work with a UAV contract pilot. The costs of operating a drone are higher than accessing satellite images or contract flights, but this is a rapidly changing marketplace as new FAA rules have made it easier than ever before to fly.

“To the Leaf”
A significant benefit to drones is that they can fly quite low to the crop canopy and capture images with astonishingly high resolution, to the 1-cm range or below. This allows for imagery where it is possible to discern individual leaves. This is significant as many issues, including various nutrient deficiencies, insect infestations, or diseases, can be detected at this resolution.

At IntelinAir, we are focused on helping growers make the absolute most of high-resolution images. I believe an entirely new class of issues can be solved with the combination of high resolution imagery and deep learning technologies. We are developing our Ag-MRI™ Intelligence System to do just that and help farmers identify, diagnose, and treat problems during the growing season.

Greg Rose has nearly two decades of experience launching innovative analytics products that make processes more efficient through digitization. His passion is applying data science to help solve the biggest challenges facing companies and entire industries.

It is Agriculture’s Turn to Put the Next Generation of Digital Technologies to Work

By Dr. Naira Hovakimyan, Co-Founder and Chief Scientist

There are a lot of buzzwords finding their way into agriculture these days — aerial imagery, data analytics, UAVs, algorithms, deep learning, and many others — all common in the tech sector and now becoming mainstream in agriculture. It is overwhelming to keep track of them, much less to understand how they will deliver benefits to farmers or what they have to do with increasing overall food production.

My opinion? I’m excited about all of them! I’ve had the opportunity to spend the last 25+ years working with many industries, including aerospace, healthcare, oil production, first responders and elderly care, to find ways that mathematics, physics and computer science can offer solutions to various robotics and engineering problems. I couldn’t be more excited about what the future holds for agriculture and how I can play a role in it.

There are several trends and developments coming together to bring us to the edge of a new revolution in agriculture:  all driven by digitization. So many advancements we’ve seen in medicine, surveillance, forestry, and other industries — now including agriculture — are possible because we can use digital images to reach levels of accuracy not possible before. And, the timing couldn’t be more critical. Population growth, urbanization, and many other factors are converging to create a looming food security challenge.

Thirty to forty years ago in medicine, we didn’t have the detailed MRI, colonoscopy, mammogram and other diagnostic imaging technologies that allow doctors to detect, or rule out, potential health problems. Computer vision has come a long way thanks to improved processing speeds and capabilities. Delivering accurate diagnostics from detailed images requires not only the technology to take the images, but a mountain of mathematical computations and algorithms that require an immense amount of computing power.

We often see the first breakthroughs in the medical field because, as a research community and a society, our first priority is improving and protecting human health. Once solutions are identified for medicine, they can quickly be extended to other industries in collaboration with appropriate experts.

In medicine, the sophisticated imaging equipment provides the details that doctors need to determine if additional invasive tests, such as biopsies, are needed for a conclusive diagnosis and to establish a treatment plan.

Now, with the implementation of of drone regulations and their widespread availability we can put these same scientific advances to work for agriculture, allowing farmers to know more about their fields than ever before. At IntelinAir, we are working to build an early warning system to alert farmers of problems while there is still time to address weed, disease, fertility or other issues. It is no surprise that we called our solution AgMRI™.

Just as a farmer relies on years of experience and a deep understanding of his field, soil and climate conditions to make decisions, we have to use many layers of data and information to make a diagnosis. Each new piece of information helps complete the puzzle and build a comprehensive health analysis for the farmer’s field.

It is exciting to see the technologies that have made a life-saving difference in medicine now being applied to producing more food from every acre with the best quality.

Dr. Naira Hovakimyan is the W. Grafton and Lillian B. Wilkins Professor of Mechanical Science and Engineering at University of Illinois at Urbana-Champaign, director of the UIUC Intelligent Robotics Lab, and director of the UIUC Advanced Controls Research Lab. She is Co-Founder and Chief Scientist at IntelinAir.

What This Techie Learned from the Inside of a Cornfield

By Greg Rose, VP Product and Co-Founder

I’m an industrial engineer by training, which means I’m programmed to look everywhere for ways to remove waste and inefficiency from processes.

My career has spanned many industries, but always focused on one thing: Bringing new analytics products to market that help businesses solve important problems.

As a technology and analytics expert working in California, it wasn’t until embarking on this opportunity with IntelinAir that I got a firsthand view of the day-to-day jobs and challenges of farmers.

Now, as I’ve forayed deeper into agriculture, one very telling discovery I have made is that farmers, in their role as businessmen and women, have a mindset similar to mine as a technology developer and engineer. We’re all after the same thing—to make things work more efficiently.

Seeing it for Ourselves

No matter what industry you’re serving, I believe the only way to fully grasp the unique challenges and opportunities is to look at them from an end-user’s perspective. You have to put yourself in their shoes to learn everything you can about their processes, measure them, and analyze them.

So when my fellow IntelinAir co-founders and I decided to go “all in” with agriculture, we really went all in. We have immersed ourselves, quite literally, in the field, observing farmers’ everyday operational activities and learning directly from them about their greatest concerns.

We interviewed farmers in eight states growing everything from almond trees to strawberries to wheat to corn to soybeans. Riding around in combines, we saw numerous monitors collecting vast amounts of data. We observed areas of weed infestations, perhaps missed by a sprayer. From crop scouting on a four wheeler I was able to see for myself that small color changes in the leaves can signal nitrogen deficiency. We found parts of the field drowned out by rain and corn lodged over, perhaps by winds—none which was visible from the road. And seeing it there in the tractor and on that four wheeler, we were seeing it when it was too late for the farmer to act.

I’ve followed precision agriculture throughout my career and know the possibilities it has to bring greater efficiency to farm operations. But seeing these processes for ourselves made it clear that the level of efficiency—while much improved with precision agriculture—still had a long way to go before reaching its full potential.

It was through this in-depth, firsthand research that we confirmed our belief that our imagery analytics technology was a perfect fit for agriculture.

What Farmers Need

IntelinAir’s hybrid team of technology and agriculture experts is working diligently to deliver the most valuable solution possible to help farmers take full advantage of precision agriculture practices and get better returns on all their investments.

We already knew how to create the technology and apply it to be used by a farmer in a field. But spending this time with farmers has allowed us to see, in a very concrete way, the absolutes required to make it indispensable to them:

  • Farmers need a solution that automates what previously has been manual.
  • They need it to be mobile, convenient and simple to use.
    It must bring greater measurability to the farmer than they’ve ever seen before, translating data from various sources into information they can act on.
  • It must provide information in-season that can be an early warning to potential issues that could affect yields, and it needs to show what’s contributing to those issues.
  • And it needs to deliver end-of-season reports with a finer degree of granularity than exists today.

IntelinAir has created an amazing solution that meets all of these absolutes. Through our Ag-MRI™ technology, we capture data through aerial imagery vehicles—primarily airplanes and drones, but also satellites—and present farmers with the most comprehensive analysis of their field than they’ve ever seen. IntelinAir handles all of the data collection and analysis, letting farmers and their advisors glean insight from the vast amount of data collected through agricultural equipment about soil, weather, seeds and chemicals. It provides farmers with automated field surveillance and data analytics that results in truly actionable intelligence about how to address problems in the field.

We’re proving the value to growers now through in-field trials. And we’ll be bringing it to market very soon.

Greg Rose has nearly two decades of experience launching innovative analytics products that make processes more efficient through digitization. His passion is applying data science to help solve the biggest challenges facing companies and entire industries.

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