GEODNET has released a real-time kinematic (RTK), centimeter-precision, GNSS corrections service designed for OEMs and system integrators of agricultural robotics. GEODNET is compatible with several GNSS receivers from major brands, on-vehicle automated steering, spraying kits, and most UAVs and robots.
The GEODNET corrections service has more than 1,700 total full-constellation reference stations worldwide and supports GPS, Galileo, GLONASS and BDS signals. It also has the RTCM 3.2 data format for maximum rover/receiver compatibility and NTRIP sign-on and access.
Additional local reference stations can be added.
Free GEODNET correction service trials are available now for qualified OEMs and system integrators in most agricultural regions globally. Interested parties can apply for a trial stream here.
AlphaRTK has signed agreements with Rutgers University, West Chester University and Warren County Community College to provide free access to its GNSS correction network for students and faculty.
The AlphaRTK network — an affordable RTK subscription network that supports four constellations — launched in 2021 and is available for use in New Jersey as well as both the New York City and Philadelphia metropolitan areas.
All institutions perform geospatial research and instruction. Having access to the AlphaRTK network is a powerful resource and will enhance the performance of modern geospatial data collection, the company said.
Warren County Community College specializes in precision agriculture using drones. The AlphaRTK network will provide its fleet with centimeter-level accuracy, advancing analytical capabilities. Rutgers University plans to advance turf farm research, and West Chester University aims to use the network for a geophysics course, among more geospatial research.
AlphaRTK records raw RINEX data that can be used for post-processing workflows, such as with post-processed kinematic drones. Additionally, in southern New Jersey where wireless coverage is weak, Alpha RTK has added ultra-high frequency radio transmitters to broadcast real-time data wirelessly.
Inertial Labs has released a remote sensing payload instrument. The Resepi Hesai XT32 laser is designed for accurate remote-sensing applications. The Resepi laser can be used with commercially available lidar scanners, including Velodyne, Quanergy, Ouster, RIEGL, LIVOX and Hesai, as well as with UAVs.
Resepi is completely modular, so users have full control for customization. The remote sensing device uses a GPS-aided inertial navigation system with NovAtel RTK/PPK single- or dual-antenna GNSS receiver, integrated with a Linux-based processing platform. It also comes with a 2 TB USB memory drive and has an embedded Wi-Fi cellular modem.
Resepi has 3-5 cm point-cloud accuracy and can reach heights of more than 200 m above ground level. It is compatible with most UAV models; however, it is typically used with DJI M300, DJI M210 or DJI M600 models.
The device is suitable for scanning and mapping, precision agriculture with lidar, simultaneous localization and mapping (SLAM) algorithm development, utility inspection and construction site monitoring. Resepi-supported software includes Hexagon NovAtel, PCPainter and PCMaster.
The earliest article about GPS and agriculture that I found in my collection of this magazine(*) is from the July/August 1992 issue: “Using GPS in Agricultural Remote Sensing,” by Eileen M. Perry of the Remote Sensing Research Laboratory of the USDA Agricultural Research Service. Thirty years later, you cannot buy a tractor from a major manufacturer that does not come equipped with a GNSS-based guidance system, and precision agriculture routinely makes use of remote sensing data and geographic information systems (GIS). The data are collected by Earth observation satellites, manned aircraft, UAVs and sensors on farm machinery. The GIS are used to collect, manage and analyze these data and create maps for the variable-rate machines to follow when seeding, irrigating, spraying fertilizer, herbicide and pesticides, and harvesting.
In this cover story, managers at Trimble, Tallysman Wireless, and ComNav Technology give their perspective on precision agriculture. Additionally, Gavin Schrock explains recently introduced options for tiered precise point positioning (PPP) services, using Trimble’s CenterPoint RTX as an example.
Proponents of precision agriculture and equipment vendors have always claimed that it reduces inputs (water, seeds, fertilizer and pesticide) and environmental impacts while increasing yields and profits. However, I have never been able to find any independent, reliable and comprehensive study of precision agriculture’s return on investment. If you are aware of any, please let me know, at [email protected].
— Matteo Luccio, Editor-in-Chief
Check out these perspectives on precision agriculture:
* I have the entire collection of GPS World’s print edition, except for the first issue, the 10 issues in the second year (1991), and the September through December 1993 issues. I would be thrilled to receive those missing issues, or facsimiles, from anybody who has them.
Tallysman antennas provide a critical link in the field for autonomous and semi-autonomous farm equipment. (Image: Kinwun/iStock/Getty Images Plus/Getty Images)
How do you define precision agriculture?
Precision agriculture includes all such modern technological advances as precise GNSS, robotics (autonomous vehicles, UAVs), sensors, and GIS that enable improved crop production by soil/field management and minimize the use of energy, seed, herbicides, pesticides and fertilizer.
What have been the key turning points in the development of precision agriculture?
There have been four key precision agriculture developments over the past 25 years. First, field mapping, which enables yield monitoring and the directed application of seed, fertilizer, herbicide and pesticide. Second, precision GNSS, which enables the same plus crop row offset from year to year. This offset, in turn, makes it possible to distribute the plant root system and utilize nutrients in different locations in the field, as well as to minimize soil compaction by ensuring that wheels do not travel over the same row from year to year. Third, autonomy, including UAVs and autonomous vehicles. Fourth, sensors to monitor moisture and water levels, and to identify weeds and plants.
What are the specific requirements and challenges of precision agriculture for GNSS, and how do they differ from those of other kinds of mapping and machine control?
Many precision agriculture applications require L-band corrections, which are typically broadcast from a geostationary satellite 35,800 km above the equator. The distance from the broadcast satellite to the user increases as the user travels either north or south of the equator. At the same time, the elevation angle decreases and at ~70° north or south of the equator the geostationary satellite will be seen at the horizon. As a result, at northern and southern latitudes, the L-band correction signal is seen at a low elevation angle and it is very weak because it has travelled a long distance. Tallysman has designed the VSS6037L antenna to receive L-band signals seen at low elevation angles.
When did Tallysman Wireless begin to focus on precision agriculture and why?
In September 2019, Tallysman Wireless released the VSS6037L agriculture and machine control GNSS antenna. Most GNSS/L-band antennas on the market have significantly lower gain at low elevation angles. Common GNSS antennas will provide good geostationary L-band reception from the equator to approximately 55° north or south latitude. However, as the arrival angle gets lower, a common GNSS antenna will have less gain and it will be challenged to receive the L-band signal at higher latitudes. Tallysman designed the VSS6037L specifically to provide support for all latitudes and specifically low elevation angle L-band signals received by users north or south 55° latitude.
What are your relevant products/product lines?
Tallysman Wireless has several GNSS antennas and smart GNSS antenna product lines that are designed for precision agriculture. The TW3972XF (triple-band plus L-band) and VSS6037L (full-band plus L-band) are ideal precision agriculture antennas. Tallysman has recently released the TW5390, which is a smart GNSS antenna that uses the u-blox F9P chipset and supports its PointPerfect L-band augmentation service.
For farmers, every centimeter counts. ComNav’s AG360 Pro autosteering system controls pass-to-pass accuracy within 2.5 cm. (Image: Daniel Balakov/E+/Getty Images)
How do you define precision agriculture?
Precision agriculture uses new technologies to obtain as much as possible the unique characteristics of a field and input the correct amount of resources at just the right time. It is a system that needs to be implemented throughout the whole process of crop growth, including land preparation, tractor guidance, water management and weather monitoring. Tractors are used at every step, therefore it is critical to make them work consistently throughout the whole process, by using GNSS. ComNav Technology’s autosteering systems can be installed on most types of tractors. This allows farmers to grow the crops in a more autonomous and efficient pattern, which they can then save with high precision and reuse for later steps until harvest, increasing the utilization rate of land and decreasing the use of fuel, water, fertilizer and herbicides.
What have been the key turning points in the development of precision agriculture?
We have been in this sector since 2013. Our current solution is much easier to install and maintain and has higher accuracy and stability. The younger generation of farmers are more receptive to autonomous driving. They would like to try new things and set themselves “free” with technology.
What are the specific requirements and challenges of precision agriculture for GNSS, and how do they differ from those of other kinds of mapping and machine control?
The main challenges for autosteering systems include signal loss and terrain compensation. Most rural areas lack GSM coverages; therefore, in many countries using autosteering requires base stations. However, radio data links between stations far apart could be affected by obstacles, causing frequent correction outages. To compensate for this, ComNav has embedded in its GNSS module its “RTK-Keep” algorithm, which can maintain a relatively high-precision performance for autosteering during corrections outages. The system also must include various terrain compensation algorithms that identify a field’s elevation contours and provide smooth and continuous guidance even in complex terrains.
When did ComNav begin to focus on precision agriculture and why?
In 2013, we introduced our first high precision GNSS board. Initially, our main role was to provide it to integrators with expertise in precision agriculture. Over the years, the market began to boom in China and in 2016 we announced our first generation autosteering system for tractors. The main reason for us to focus on precision agriculture is the increasing demand from the market, which we believe will continue to grow in the foreseeable future due to the increasing demand for food from Earth’s growing population.
What are your relevant products/product lines?
In the past, workers in China drew lines on the land and then planted potatoes roughly along those lines, which was challenging and time consuming. It was hard for the farm owner to hire an experienced driver and guarantee the effectiveness of seeding. Now, however, ComNav Technology’s AG360 Pro autosteering system solves that problem by guiding vehicles according to set routines, including straight lines, curves, automatic turns and headline turns. Importantly, the pass-to-pass accuracy can be controlled to within 2.5 cm. The worker can finish multiple processes within only 24 hours, such as ridging, ditching, sowing, fertilizing and laying drip irrigation under mulch. Furthermore, compared to traditional manual planting, mechanized planting produces a more even sowing rate, which also establishes the foundation for the automated harvesting of potatoes. Potato production has increased by 10% per acre, land use has been reduced by more than 20%, and labor costs have been reduced significantly.
With the aid of Trimble’s correction services, the in-cab GFX-1260 display connects farmers to a wealth of knowledge about their fields and crops. (Photo: Trimble)
How do you define precision agriculture?
Precision agriculture is the use of technology in farming to increase yields through data and precision. Precision ag helps farmers improve yields by collecting data on all aspects of each plant to figure out exactly what it needs, when it needs it and how it will best survive. From planting, growing and cultivating to spreading, spraying and harvesting, precision agriculture allows farmers to monitor, measure and utilize data from beginning to end.
What have been the key turning points in the development of precision agriculture?
Accurate positioning is the enabler for all precision agriculture. RTK was one of the biggest initial developments within positioning as it allowed farmers a higher level of accuracy than had been seen previously. Precise Point Positioning (PPP) was the next big development. Our version of PPP, Trimble RTX, allows farmers the best of both worlds — RTK-level accuracy delivered via satellite, eliminating the need for base stations or sometimes unreliable radio, cell or internet signals. Though precision agriculture started with guidance, it has now made its way to implement-level, variable rate seeding and spraying and section control. ISOBUS has also been a big development in the past few years — allowing machines of all types to interact and communicate with each other, regardless of type, color and shape.
What are the specific requirements and challenges of precision agriculture for GNSS, and how do they differ from those of other kinds of mapping and machine control?
The challenge in GNSS is providing customers with the greatest availability in the field. While most fields are under open sky, obstacles such as trees and gullies make it more challenging. At Trimble, we provide market-leading pass-to-pass value with limited overlap for the customers at different price points. With our latest and most premium correction service, CenterPoint RTX, ease of use is also a key benefit.
When did Trimble begin to focus on precision agriculture?
Trimble unveiled its first agriculture receivers in 1999, signaling the start of the Trimble Agriculture division. In 2000, AgGPS Autopilot and automated steering systems were released for row crop application, further cementing Trimble’s presence in the precision agriculture community.
What are your relevant products/product lines?
Trimble offers technology integration that allows farmers to collect, share, and manage information across their farms, while providing improved operating efficiencies in the agricultural value chain. Trimble solutions include both hardware and software for guidance and steering, flow and application control, water management, harvest solutions, desktop and cloud-based data management, and correction services. Trimble’s CenterPoint RTX satellite-based correction service delivers GNSS positions repeatable to less than an inch. Combined with Trimble’s ProPoint GNSS technology, this service provides greater positioning availability, even in challenging environments such as tree lines, gullies and along contours where much of farming takes place.
For applications where centimeter-level accuracy is not as high of a priority, such as broad acre applications, Trimble RangePoint RTX and ViewPoint RTX give additional correction service options. They hold equipment to 6-inch and 12-inch pass-to-pass accuracy — or about the width of a tire between passing swaths. Trimble also offers Trimble VRS Now, giving farmers instant access to RTK positioning services using a network of permanent, continuously operating reference stations.
Fuel and fertilizer prices are at all-time highs, as farmers the world over are scrambling to find ways to stay financially afloat. Large commercial farms have long had a leg up over smaller holdings. They already have access to artificial intelligence (AI) and cutting-edge hardware to plan their operations and automate tasks. They run broad sensor networks to monitor soil quality, operate vision-enabled drones to monitor crop health, and let autonomous tractors steer across their fields to vastly improve their productivity.
These advanced systems have been prohibitively expensive, to the point that their costs are hard to justify for smaller holdings, less than two hectares in size, which make up the vast majority of the world’s more than 570 million farms. Many of these farmers simply don’t have access to sufficient capital to invest in new equipment, and continue to rely on older machines and human labor. For them, the vast promise of the digital revolution to increase the efficiency of agricultural operations — typically lumped together as smart farming or precision agriculture — has long remained just out of reach.
But change is in the air. Over the past few years, the popularization of the internet of things (IoT) and its underlying technologies has led to the development of a new and more affordable generation of precision farming solutions. These solutions are giving smallholdings tools to increase the quantity and the quality of their production. Combining satellite-based positioning, wireless connectivity and visual sensing with advanced algorithms including machine learning (ML) and artificial intelligence, these solutions promise to help farmers produce more for less, putting them on more equal footing with their larger commercial competitors.
In this article, we take stock of key trends driving the democratization of precision agriculture. We zoom in on some of the concrete applications transforming the operations of smaller farms the world over. We start by exploring the core enabling technologies, the applications they enable, and where they are headed.
Technological evolution on all fronts
Sensor-fusion platforms
At their heart, precision agriculture solutions are sensor fusion platforms, taking in data points from a variety of sensors, using algorithms to make sense of them, and extracting insights on which their users — machine or human — can act. As they mature, these sensor fusion platforms are becoming increasingly complex, crunching more and more types of sensor data with algorithms of growing sophistication to gain ever deeper and higher value insights.
These insights are often generated using AI and ML models that run at the edge of the network near the sensors — on the tractors, sprayers, or other devices themselves — rather than in the cloud.
Equipment manufacturers looking to integrate AI/ML at the edge are weighing their options in terms of adding application processors and hardware accelerators capable of running advanced ML models needed to fuse camera and sensor inputs to make real-time decisions. To simplify the adoption of AI/ML at the edge, many vendors are starting to integrate AI accelerators into their modules and systems-on-chip (SoCs), lowering the barrier to entry.
Original equipment manufacturers (OEMs), for their part, are choosing to integrate these SoCs even if their software capabilities are still behind. For them, building solutions with future-proof hardware is a potentially lucrative strategy for generating recurring revenues through firmware updates that provide advanced functions down the road.
Despite the abundance of evaluation kits from major vendors, scaling from prototypes to production with these solutions can be expensive. While integrated sensor fusion platforms with, for example, pre-loaded dynamic vehicle models for auto-steering or computer vision models for plant health can accelerate development for OEMs and reduce the need for software investment, they can be too generic and may not solve use-case-specific needs. More focused AI/ML may require more investment in data collection and training models, which, due to their proprietary nature could come at a higher price.
Camera systems are already widely relied on by autonomous tractors, visually monitoring the surrounding environment and feeding their data into computer-vision solutions where it is parsed. Context-rich, vision-based data can help optimize the distribution of agricultural inputs such as water, seeds, fertilizers and pesticides using real-time variable spray-rate control based on plant size and other metrics to significantly improve efficiencies and reduce overall costs.
Camera systems come with a set of challenges that need to be carefully managed. Lenses can become contaminated with water, debris, dust, and snow. Even though these issues impact all vision-based applications, including mass-market applications such as automated and autonomous driving, there are still no reliable methods of keeping them clean, aside from water-spraying nozzles (that can cause buildup on the lenses) and old-fashioned manual maintenance.
Additionally, the steep price of high-resolution cameras can drive up the cost of end solutions, as can data storage and communication when the visual data is processed in the cloud.
Global navigation satellite systems
Satellite-based positioning has also become a staple in precision agriculture solutions. Autonomous and guided tractors use the technology to drive vehicles along precise paths to increase pass-to-pass efficiency and reduce overlapping rows. Crop monitoring drones use GNSS technology to patrol predefined flight paths. And fully autonomous guided vehicles such as robotic lawnmowers use it to avoid restricted no-go zones. The latter three applications typically require centimeter-level positioning accuracies.
Centimeter-level GNSS technology has been available for well over a decade, with farmers subscribing to relatively costly GNSS correction services tailored to each user. However, it was only with the advent of affordable RTK services with availability in rural areas, as well as the dramatic decrease in cost for farmers to deploy their own RTK base stations using low-cost modules, that the price point of high precision positioning has come down far enough to make the service affordable to all but the least lucrative operations.
High precision GNSS technology brings the benefits of improved pass-to-pass efficiency – a general reduction of all agricultural inputs with all the financial, environmental, and health benefits that this entails. At the same time, it requires solutions to deal with signal delays and the resulting inaccuracies of multipath effects, caused when signals bounce off buildings, mountains, or other solid structures on their way to the GNSS receiver.
When delivered via the internet, the GNSS augmentation data stream requires an IP connection to the provider’s server. This poses challenges for farms that lack infrastructures such as Wi-Fi base stations, sub-GHz RF systems, or cellular network coverage.
Photo: Avalon_Studio/E+/Getty Images
Wireless connectivity
In some way or another, all advanced precision ag use cases depend on wireless connectivity. Environmental sensors and inspection drones need it to relay data to the cloud backend. Additionally, tractors, drones, and other farm robots depend on it to upload telematics data, report their status, enable predictive maintenance tools to reduce downtime, and receive GNSS augmentation data for high precision positioning.
While cellular connectivity is the easiest to use — all it takes to upload data straight to the cloud is a mobile data subscription and a SIM card — it has two key drawbacks. The first, mentioned earlier, is that the entire farm needs robust network coverage, which is not always a given in rural areas even in the United States and other developed countries. Also, when coverage is available, the cost of data transfers can quickly add up and become prohibitive for smaller, less profitable farms, as they may not be able to negotiate affordable connectivity plans as effectively as larger operations that have much higher data usage.
One way to address the coverage issue is by choosing the right wireless communication technology. Low power wide area technologies, such as LTE-M, NB-IoT, and Cat-1 solutions offer similar coverage to traditional LTE in many countries and are available at a fraction of the cost. When higher bandwidths are required, LTE Cat 4 or higher modules offer 150 Mbps+ of throughput. 5G modules enabling gigabit connectivity are available today, but solutions may cost up to 10-times more.
As an alternative, 5G Redcap – an upcoming 3GPP technology – seeks to provide a 5G compatible, affordable solution with medium bandwidth and lower complexity, enabling affordable hardware. We will likely start to see the first RedCap offerings from mobile network operators in 2025.
Artificial intelligence and machine learning at the edge offer an additional tool to reduce bandwidth requirements, by processing sensed data near the sensors themselves. Rather than streaming vast amounts of raw sensor data to the cloud, devices leveraging edge intelligence can reduce their wireless communication bandwidth requirements and cost by uploading only relevant information.
The trends driving democratization
Progress in sensing and sensor fusion platforms, camera systems, GNSS technology, and wireless connectivity is but one of the drivers democratizing precision agriculture. The other is an ongoing ecosystem-wide transformation that is breaking down many of the barriers that have kept precision agriculture solutions the preserve of large, lucrative farming operations.
Together, they are bringing down the cost of ownership of precision ag technology. Only just a few years ago, the only available solutions from major OEMs came with a hefty price tag, comprising expensive hardware and considerable recurring subscription fees, while requiring skilled labor to implement, operate, and maintain smart equipment.
Vendor lock-in enforced by locking telematics interface ports prevented farms from adopting aftermarket solutions — justified as a way to improve safety and vehicle reliability. Ultimately, however, this limited farmers’ ability to maintain their equipment themselves and to piece together cost-optimized solutions tailored to their specific needs using components from competing solution providers.
Today, all of this is changing. Hardware costs are down dramatically due, largely, to economies of scale unleashed by the Internet of Things’ explosive growth. Farmers now have access to affordable, user-friendly aftermarket solutions to upgrade tractors and other agricultural machines they already own that depend on a new generation of more cost-effective GNSS correction services. OEMs are introducing advanced functionality in their entry- to mid-range tractors in addition to their premium product line.
At the same time, the abundance of open-source projects, module-based solutions, and pre-certified radio technologies are making the development of precision ag solutions cheaper, bringing down the cost of off-the-shelf hardware. Add to that lower subscription costs for GNSS correction services thanks to improved broadcast distribution with SSR-RTK (state space representation-real-time kinematic).
The total cost of connectivity is dropping as well. Deploying connectivity infrastructure was long a non-negligible cost point, made up of wireless infrastructure and data subscription fees. Today, thanks to the increased availability of cost- and power-optimized wireless communication technologies with broader coverage (LTE-M, NB-IoT, LTE Cat 1), farmers can reap the benefits of the overall expansion of cellular network infrastructure.
Arguably one of the most promising trends driving the democratization of precision agriculture technology comes from the farming community itself in the form of do-it-yourself solutions based on open-source hardware and software designs.
Take AgOpenGPS, also referred to as AOG, an open-source auto-steering solution created by a Canadian farmer and software developer. AOG delivers all the hardware design files, the real-time microcontroller firmware, and software required to enable auto-steering on conventional tractors, regardless of their age. Thousands of hours invested by the AOG developer community have made the solution accessible to the masses, both financially — retrofitting tractors can cost less than USD $1,000 — and in terms of prerequisite knowledge.
A growing variety of precision agriculture platforms, from high-end commercial solutions that cater to the most profitable farms to low-cost do-it-yourself solutions that can pay for themselves in a year and are accessible to smaller, less profitable operations, are transforming the impact that precision agriculture can deliver. With the global food supply under tremendous pressure, this democratization of smart farming technology could come to play an important role in feeding the world.
To learn more about how u-blox enables high-precision autonomous vehicles and other smart farming applications, visit www.u-blox.com/precision-agriculture.
As part of a strategic alliance, Trimble and CLAAS have developed a next-generation system for CLAAS tractors, combines and forage harvesters.
The precision farming system includes the new CLAAS CEMIS 1200 “smart” display, GPS PILOT steering system and the SAT 900 GNSS receiver.
The CEMIS display uses Trimble’s new embedded modular software architecture for positioning, steering and ISOBUS technology for a seamless connection to control and monitor implements in the field. ISOBUS is an international communication protocol that sets the standard for agriculture electronics.
Trimble’s new architecture accelerates the development of a customized precision agriculture system by linking CLAAS’ machine interface and Trimble’s guidance capabilities into one common in-cab user experience.
“We understand the operators’ complexities of using separate displays with different user interfaces in the cab running the machine and performing precision farming tasks,” said Jim Chambers, vice president of Trimble Agriculture. “Working in tandem with CLAAS, we have jointly developed a next-generation precision farming system designed around one common user interface to provide CLAAS operators the best customer experience.”
“As an experienced, innovative and global provider of precision agriculture solutions, Trimble was our first choice as a technology partner,” said Carsten Hoff, managing director, CLAAS E-Systems. “Precision farming systems from Trimble have been field proven worldwide over the course of two decades. In addition, Trimble, supported by its subsidiary Müller-Elektronik, brings outstanding expertise in ISOBUS technology, which allows a display to control the machine and implement.”
The CEMIS 1200 display connects with the GPS PILOT system and SAT 900 GNSS receiver, based on the Trimble NAV-900 guidance controller, for positioning and steering capabilities. This solution provides sub-meter repeatable accuracy suitable for tillage, broad-acre seeding, spraying and harvest operations.
For even greater accuracy, users can subscribe to CLAAS-branded correction services from Trimble, called SATCOR, to achieve up to 2.5 centimeter pass-to-pass accuracy without a base station.
The precision farming system is already available for CLAAS TRION and is now expanding into LEXION, ARION, AXION and JAGUAR.
A roundup of recent products in the GNSS and inertial positioning industry from the July 2022 issue of GPS World magazine.
OEM
RTK Receiver
Hybrid high-precision GNSS
Photo: PP Solutions
The handheld RTAP2U is a hybrid high-precision, dual-frequency GNSS receiver. It can receive and process GPS, GLONASS, BeiDou, Galileo and QZSS signals. Its user-friendly web interface accesses and configures signal reception, skyplot, data collection, stop-and-go surveying, map display and more. With u-blox’s ZED F9P module, RTAP2U provides 2 cm or better accuracy within a few seconds. A firmware upgrade can provide precise point positioning (PPP) and real-time kinematic (RTK) capability.
The AsteRx-U3 Marine GNSS receiver offers accurate positioning near shore and offshore via centimeter-level real-time kinematic (RTK) or the built-in Fugro precise point positioning (PPP) sub-decimeter subscription service, delivered either over NTRIP internet or L-band satellite. Corrections delivered over L-band allow dredging, bathymetry or marine construction projects even in areas where there is no internet service. The AsteRx-U3 Marine receiver, enclosed in an IP68-rated housing, offers a dedicated L-band demodulator with a separate L-band RF input, which allows for the use of dedicated antennas for excellent reception of L-band signals even at high latitudes.
The HGuide o360 is a compact single-card, all-attitude GNSS/inertial navigation system (INS) that delivers accurate and robust position and attitude even in GNSS-challenged or denied environments to industrial and autonomous applications. The HGuide o360 contains a multi-frequency, multi-constellation, real-time kinematic (RTK) GNSS receiver with dual antennas, Honeywell’s i300 inertial measurement unit (IMU) technology, and a high-grade calibrated magnetometer. It is designed for platforms that require high-performance navigation data in an ultra-low size, weight and power (SWAP) package.
Offers optimal heading performance and resistance to vibration
Photo: SBG Systems
The Quanta Micro GNSS-aided inertial navigation system (INS) offers a high level of navigation performance despite its low size, weight, power and cost (SWAP-C). It brings direct georeferencing to UAV and land-based surveying. Quanta Micro leverages a survey-grade inertial measurement unit (IMU) for optimal heading performance in single-antenna applications, and high immunity to vibrating environments. An optional secondary antenna enables fast heading initialization in low dynamic applications.
The GridTime 3000 GNSS time server is a software-configurable solution for utilities, providing redundancy, security and resiliency to protect against surges, adverse weather and cyberattacks. It generates precise time and frequency signals to synchronize analog and digital communication systems. The resilient timing platform incorporates multiple timing inputs for protection in the event of a GNSS signal disruption caused by severe weather, environmental disturbances or signal jamming or spoofing.
The Auterion OS serves enterprises that need component and payload flexibility, alongside a centralized and streamlined software workflow. Features include availability of precise mapping data in real time, automated processing for fast decision-making, standardization across Auterion-powered vehicles, connectivity that enables automated end-to-end workflows with no need for manual data transfer, and integration with third-party data-processing software such as Esri Site Scan or Propeller.
Designed to meet the need for highly accurate data
Photo: YellowScan
The YellowScan Vx20 lidar is the most accurate, fully integrated system of YellowScan’s product range. It can fly up to 330 feet (100 meters) while maintaining high accuracy throughout the point cloud. The Vx20 series is designed for applications that require sharp, accurate descriptions. Its Applanix APX-20UAV GNSS/inertial sensor provides precision of 1 cm and accuracy of 2.5 cm. With battery, the lidar scanner weighs 6.25 pounds (2.84 kg). It can be integrated with either multirotor or helicopter drones.
The WingXpand seven-foot expandable-wing drone folds to fit in a backpack. Its U.S.-made patented design combines the small size of a quadcopter with the horsepower of an airplane. The drone expands in less than 2 minutes and weighs less than 10 pounds. It can carry high-resolution cameras and other modular payloads such as a real-time pattern analysis system. More than 10 WingXpand UAS can fit in a public safety vehicle, more than 30 in a pickup, and 250 on a standard airlift pallet. WingXpand maximizes capability, efficiency and safety for the military and public safety officials. It also can be used by farmers, surveyors and inspectors.
The E300 drone package includes the E300 real-time kinematic (RTK) drone, flight-control software and an optional camera. It is suitable for topographic survey, urban construction, forestry investigation, emergency rescue, 3D modeling, mining and surveying. The drone is embedded with a high-precision K8 GNSS module that supports GPS L1/L2/L5, BeiDou B1/B2/B3/B1C/B2a, GLONASS L1/L2, Galileo E1/E5-a/E5-b/AltBOC/E6 and QZSS L1/L2/L5. With its intelligent recognition algorithms, the E300 can capture high-resolution images consistently even in complex environments.
The AR3 unmanned aerial system (UAS) now has a “hot-swappable” vertical-takeoff-and-landing (VTOL) capability, able to switch from horizontal launch to vertical. It also now has integrated synthetic aperture radar (SAR). The AR3 is a shipborne UAS that supports multiple types of maritime and land-based missions up to 16 hours. With the upgrade, the AR3 becomes more operationally flexible. The newly added SAR provides the AR3 with a vastly greater operational range, and the ability to effectively detect, recognize and identify targets under any weather condition. Covering more than 20,000 square nautical miles per mission, the new AR3 is suitable for wide-area surveillance missions.
The P300 is a high-precision, in-cab Android tablet designed for precision agriculture, autonomous driving and machine control. Embedded with the K8 OEM module, the P300 tracks GPS, BeiDou, BeiDou-3, GLONASS, Galileo and QZSS signals to achieve centimeter-level accuracy. It provides enhanced heading and positioning performance for everyday field use. The P300 series is available as the P300 Plus (10.1-inch) and P300 Mini (8-inch).
Intergraph G/Technology, an advanced utility geographic information system (GIS), enables utility companies to plan, design and document networks. It acts as a definitive source of reliable, location-based information that can be shared with users and systems across an organization. Available on the Oracle Cloud Marketplace, G/Technology provides utility operators with a scalable, secure and highly available GIS solution with reduced start-up costs and needed infrastructure. Running G/Technology on Oracle Cloud Infrastructure eases initial system deployment, enhances performance and automates scalability, availability and cybersecurity protection, ensuring the system is always up to date with the latest features and enhancements.
The Mosaic X mobile mapping camera captures extremely accurate photos and 360° videos, while simultaneously creating photorealistic 3D photogrammetry models, without the use of lidar. It can achieve 1-cm accuracy on road surfaces. The built-in CPU and GPU allow users to operate the camera and capture data without the need for a computer within the vehicle. Meticulous mechanical engineering and design ensure reliable and dependable use in harsh conditions such as moisture, mechanical shock and extreme temperatures. It can create high-quality 3D models, 3D reconstructions, and dense point clouds without the use of lidar. It comes with an AUX port to connect with external GNSS devices or lidar.
JCB has launched its Fastrac iCON tractor to the public featuring the Hexagon | NovAtel’s SMART7 GNSS receiver. The tractor also offers optional TerraStar Correction Services driving the iCONNECT precision technology package and offering operators an easy-to-use customizable experience.
The SMART7-I included in the new Fastrac iCON tractor is a rugged, waterproof, all-in-one GNSS smart antenna designed and tested specifically for the agriculture industry.
Connectivity is with Wi-Fi and Ethernet. TerraStar and RTK corrections provide the centimeter-level accuracy required for any farming application. With multi-constellation and multi-frequency capabilities, it is a dependable solution for farms with treelines and obstructions that may impede satellite signals.
With the availability of TerraStar Correction Services, operators can have the highest accuracy and year-over-year repeatability globally. TerraStar offers fast, consistent positioning through the planting, spraying and harvest cycle with 99.999% uptime and availability.
“The iCON tractor is designed around the farmer. We wanted a GNSS solution farmers can rely on that stands up to harsh agriculture environments while providing the accuracy to support our precision technology,” said Greg Fitton, general manager, Fastrac Sales at JCB. “We chose NovAtel as our GNSS experts because of their demonstrated reputation for quality, cutting-edge technology and performance, and their willingness to adapt to our needs.”
Septentrio has launched the AsteRx-U3 ruggedized GNSS receiver, successor to the AsteRx-U for construction, mining and other machine control applications.
The new receiver combines Septentrio’s latest triple-band precise positioning GNSS core with extended wireless communication features including Wi-Fi, UHF and 4G LTE. The versatile connectivity features of this receiver make it easy to fit it into any control system and enable simple and cost-effective overall design.
“We are excited to introduce AsteRx-U3 to the market of industrial automation,” said Silviu Taujan, product manager at Septentrio. “Its advanced connectivity package offers manufacturers and integrators access to reliable high-accuracy positioning in a system which is versatile, easy to use and easy to integrate.”
The AsteRx-U3 offers a unique feature, a guaranteed low latency of under 10 msec with a high data rate, which allows machines to work with rapid as well as accurate movements. An IP68-rated housing with fixing brackets and robust M12 connectors ensures a quick and reliable installation.
