Agriculture
This U.S. industry comprises establishments primarily engaged in manufacturing agricultural and farm machinery and equipment, and other turf and grounds care equipment, including planting, harvesting, and grass mowing equipment (except lawn and garden-type).
Assembly Line
Monarch Tractor Announces $133M Series C Funding - Marking Largest-Ever Raise in Agricultural Robotics
Monarch Tractor, creator of the MK-V, the world’s first fully electric, driver-optional smart tractor and Wingspan Ag Intelligence (WingspanAI) farm management platform, has announced a history-making $133 million Series C, making it the largest funding raising round in agricultural robotics history. Funding was co-led by global impact investor Astanor and HH-CTBC Partnership, L.P., with additional support from prominent investors, including At One Ventures, PMV and The Welvaartsfonds.
The Series C funds will support the further development of Monarch’s cutting-edge AI product offering, expansion of their operational footprint domestically and globally, while enabling the company’s path to profitability. This funding round will support the expansion of Monarch’s digital solutions and AI applications, including the development of Autodrive, Monarch’s autonomous operations feature, for new global markets and crop sectors.
Carbon Robotics to Help Revolutionize Farming with AI, Using Investment from NVentures
Carbon Robotics, the leader in AI-powered farming, today announced that it has received an investment from NVentures, NVIDIA’s venture capital arm. This underscores the power of AI in transforming farming worldwide, as well as Carbon Robotics’ leadership and innovation in the industry. Carbon Robotics’ LaserWeeder™ has been proven by top farmers to reduce weed control costs by 80 percent and significantly increase crop yield and quality. By providing farmers with an innovative weeding solution that does not rely on traditional methods of chemical herbicides, hand labor, or soil cultivation, Carbon Robotics is at the forefront of using AI to protect crops, people, and the planet.
Leveraging the power of 24 NVIDIA GPUs, the LaserWeeder processes 4.7 million high-resolution images per hour, offering unparalleled AI-driven plant detection and identification to target and eliminate weeds with lasers. The LaserWeeder can eradicate 5,000 weeds per minute with sub-millimeter precision and utilizes the world’s most diverse and fastest-growing agricultural image dataset, comprising 25 million labeled plants and more than 30,000 crop and weed models. The LaserWeeder also captures real-time metrics on crops and weeds and sends them to the cloud, providing farmers with actionable visual insights into their field farming operations at any time, from anywhere.
Optimizing Agriculture’s Spare Part Production with 3D Printing
When it comes to integrating 3D printing in agriculture, there are three main options to consider, with the farmer integrating 3D printing, the farmer ordering the part via a 3D printing service, or the equipment manufacturer itself integrating the technology.
The third option of integrating 3D printing in agriculture involves the hardware producers themselves adopting a 3D printing platform. This option provides the added benefit of the hardware producer having complete control over the design and quality of the parts produced.
To streamline the process, companies can integrate a digital inventory platform such as Replique. This allows them to store all their 3D printable parts in one place, already ready for production with fixed print parameters. When a farmer orders a part, they can place the order via their usual ordering system, such as a webshop or ERP system. This order is then processed in the digital inventory, triggering the printing of the part at the print farm. Once printed, the part is shipped directly to the end-user.
🚜 Inside John Deere Harvester Works: Think your iPhone is cutting-edge? Try driving an X9 combine.
”Supply chain was massively disrupted last year,” said Jim Leach, the factory manager in East Moline. “We had hundreds of machines that were partially complete. We still haven’t seen a return to normal yet.” One way to minimize the wait for parts is to make them yourself. The Harvester Works has eight industrial Trumpf fiber-optic laser stations turning sheet metal into combine parts, chassis components and grain tank sides, then molding them on 10 press brakes — large industrial presses — in a process that is almost totally automated. The only need for human hands is to transfer the components from the lasers to the presses. The plant turns 60,000 tons of sheet steel a year into combine parts.
As big a challenge as making the parts is then keeping track of where they go, spread across Harvest Works’ 71 acres of floor space. Two years ago, employees were manually conducting daily inventory of which parts and aborning combines were where. Now, a large, white refrigerator-sized autonomous mobile robot purrs its way through the facility, scanning the RFID chips in various components to map the inventory down to each bin of bolts.
Assembling and checking are often done simultaneously. Michael Churchill uses an impact wrench gun containing an RFID chip that talks to Deere’s central production computer system, which knows when Churchill has tightened any given bolt enough and tells him to stop.
Better spinach through AI: Tokyo startup automates seedling selection
A Japanese agricultural startup has developed technology that uses artificial intelligence to assess the growth and potential of spinach seedlings, aiming to reduce food loss by increasing yields and efficiency.
The AI system has two parts. The first uses photographs to estimate the height, width and weight of seedlings grown in plant factories. The other predicts future growth using an index developed by Farmship. The first eliminates seedlings that are obviously not growing well, and the other narrows the remaining seedlings to only superior ones, making harvesting easier. In trials, the ratio of seedlings that grew properly increased to 80%, from 54% using standard methods. This corresponds to a 17% harvest increase.
Bobcat Company Advances Innovation in Agriculture through Partnership with Agtonomy
Bobcat Company, a global compact equipment, innovation and worksite solutions brand, has partnered with Agtonomy, to advance productivity in the agriculture industry through collaboration in the areas of electrification, autonomous operation and digital technology. Through this partnership, Bobcat and Agtonomy, a Silicon Valley agtech software company, will collaborate to create new and innovative ways of enhancing Bobcat equipment for increased productivity and performance.
AI farming tool from BASF finds fertile ground in Japan's rice country
Yamazaki Rice, based near Tokyo in Saitama prefecture, began using BASF’s Xarvio Field Manager system this year with five workers on about 100 hectares of land.
Xarvio provides real-time analysis informed by satellite and weather data. Automated maps customize the amount of fertilizer recommended for each section of the farm. The data is fed to GPS-equipped farm equipment. The AI gives daily suggestions that Yamazaki Rice’s president said helped improve yields by up to 25% in some fields. Xarvio’s machine learning covers more than 10 years of crop data as well as scientific papers worldwide.
Monarch Tractor Launches First Commercially Available Electric, ‘Driver Optional’ Smart Tractor
Local startup Monarch Tractor has announced the first of six Founder Series MK-V tractors are rolling off the production line at its headquarters. Constellation Brands, a leading wine and spirits producer and beer importer, will be the first customer given keys at a launch event today.
The debut caps a two-year development sprint since Monarch, founded in 2018, hatched plans to deliver its smart tractor, complete with the energy-efficient NVIDIA Jetson edge AI platform. The tractor combines electrification, automation, and data analysis to help farmers reduce their carbon footprint, improve field safety, streamline farming operations, and increase their bottom lines.
Next to the last steel mill in town, a robotic farm grows backed by Pritzker billions
“Our smart manufacturing facility improves the yield, taste and texture of the vegetables, and does that with 95% less water, 95% less land, and uses no pesticides or chemicals,” said Webb, who is 33. Fifth Season’s automated proprietary system grows fresh produce year-round indoors in vertical trays, relying on artificial intelligence, robotics and data to control light, water and nutrients, and harvest leafy greens.
Fifth Season is competing in a capital intensive, highly fragmented market with more than 2,000, mostly smaller farms and a handful of larger scale players. Among the largest is San Francisco-based Plenty Unlimited, which recently inked $400 million in strategic funding from Walmart and plans to sell its fresh produce from its Compton facility at the retailer’s California stores. Another major rival is AeroFarms in Newark, New Jersey, which scrapped a SPAC deal to go public in October 2021 and is continuing to build out capacity at a Danville, Virginia farm.
Cremer - Seed counting technology
John Deere’s self-driving tractor lets farmers leave the cab — and the field
The technology to support autonomous farming has been developing rapidly in recent years, but John Deere claims this is a significant step forward. With this technology, farmers will not only be able to take their hands off the wheel of their tractor or leave the cab — they’ll be able to leave the field altogether, letting the equipment do the work without them while monitoring things remotely using their smartphone.
The big difference with this new technology is that drivers will now be able to set-and-forget some aspects of their self-driving tractors. The company’s autonomy kit includes six pairs of stereo cameras that capture a 360-degree view around the tractor. This input is then analyzed by machine vision algorithms, which spot unexpected obstacles.
Manure Spreading goes High-Tech with IIoT
Manure spreaders have a tandem hydraulic pump. One pump drives the beater system at the backend that spreads, or applies, the product onto the field. A hydraulically driven end gate, or tailgate, opens up to allow the product out the backend, and the system also has a hydraulically driven variable speed floor.
An essential function of the control system is to monitor the torque load on the beater. With the beater requiring the highest horsepower load, it is crucial to use a pressure control, essentially a torque control, to keep the entire operation under maximum load the drive line can handle. For example, if the operator is driving the floor too fast, which increases the pressure, the control system will stop the floor or slow it down accordingly based on the load that you would see on that beater.
Tilling AI: Startup Digs into Autonomous Electric Tractors for Organics
Ztractor offers tractors that can be configured to work on 135 different types of crops. They rely on the NVIDIA Jetson edge AI platform for computer vision tasks to help farms improve plant conditions, increase crop yields and achieve higher efficiency.
Hyperspectral imaging aids precision farming
Remote sensing techniques have exponentially evolved thanks to technological progress with the spread of multispectral cameras. Hyperspectral imaging is the capture and processing of an image at a very high number of wavelengths. While multispectral imaging can evaluate the process with three or four colors (red, green, blue and near infrared), hyperspectral imaging splits the image into tens or hundreds of colors. By using the technique of spectroscopy, which is used to identify materials based on how light behaves when it hits a subject, hyperspectral imaging obtains more spectra of data for each pixel in the image of a scene.
Unlike radiography, hyperspectral imaging is a non-destructive, non-contact technology that can be used without damaging the object being analyzed. For example, a drone with a hyperspectral camera can detect plant diseases, weeds, soil erosion problems, and can also estimate crop yields.
John Deere and Audi Apply Intel’s AI Technology
Identifying defects in welds is a common quality control process in manufacturing. To make these inspections more accurate, John Deere is applying computer vision, coupled with Intel’s AI technology, to automatically spot common defects in the automated welding process used in its manufacturing facilities.
At Audi, automated welding applications range from spot welding to riveting. The widespread automation in Audi factories is part of the company’s goal of creating Industrie 4.0-level smart factories. A key aspect of this goal involves Audi’s recognition that creating customized hardware and software to handle individual use cases is not preferrable. Instead, the company focuses on developing scalable and flexible platforms that allow them to more broadly apply advanced digital capabilities such as data analytics, machine learning, and edge computing.
Tractor Maker John Deere Using AI on Assembly Lines to Discover and Fix Hidden Defective Welds
John Deere performs gas metal arc welding at 52 factories where its machines are built around the world, and it has proven difficult to find defects in automated welds using manual inspections, according to the company.
That’s where the successful pilot program between Intel and John Deere has been making a difference, using AI and computer vision from Intel to “see” welding issues and get things back on track to keep John Deere’s pilot assembly line humming along.
Harvesting AI: Startup’s Weed Recognition for Herbicides Grows Yield for Farmers
In 2016, the former dorm-mates at École Nationale Supérieure d’Arts et Métiers, in Paris, founded Bilberry. The company today develops weed recognition powered by the NVIDIA Jetson edge AI platform for precision application of herbicides at corn and wheat farms, offering as much as a 92 percent reduction in herbicide usage.
Driven by advances in AI and pressures on farmers to reduce their use of herbicides, weed recognition is starting to see its day in the sun.