In the NIKE MATE project, the focus is on navigating tunnels in difficult circumstances — collapse of infrastructure, GNSS outages, presence of smoke and debris, all of which make orientation challenging.

NIKE MATE is funded by the Austrian Research Promotion Agency (FFG), a research team consisting of Graz University of Technology (TU Graz), the University of Leoben, the Federal Ministry of Defence, OHB Austria and the Laabmayr Engineering Office.

The NIKE MATE team has developed a system for tough tunnel missions that combines sensor data from robots and rescue teams with a self-built UWB (ultra-wideband) network. The result is a dynamic map of the environment in which the team can locate and coordinate itself.

A human/robot team

The central innovation of the project is “teaming”. A robot with highly developed sensor technology first explores the surroundings and creates the dynamic map. The position information obtained is exchanged via a UWB transmitter with emergency personnel following behind or working in parallel, who are themselves equipped with UWB tags and who place UWB anchors along their route.

In addition to stable data transmission, the anchors also enable distance measurements between all participants even without a direct line of sight. This creates a network of distance measurements in which the positions of robots and people can be determined with an accuracy of closer than one meter.

“This precise localization is a decisive safety factor, for example if there is an open lift door or a precipice in front of a person,” said project manager Philipp Berglez, Institute of Geodesy, TU Graz.

Sensor technology plays an important role in localization. The robot uses a laser scanner, a camera, and wheel sensors to create a map of its surroundings. This means emergency services do not have to rely on plans that may be outdated or no longer correct due to damage.

The rescue workers who follow have inertial sensors (accelerometers and angular rate sensors) on their shoes. Using AI-based analysis, the system recognizes various movement patterns such as walking, crawling on all fours, or belly crawling. 

Drone data to be included

To ensure that the position calculations are not only accurate but also reliable, the project team uses factor graph optimization methods. These originate from robotics and make it possible to take past measurements into account again, and thus better determine the current position. If robots or people pass the same place at different times, their data can be linked and the map continuously improved.

“The prototype we developed proved its suitability for use during our tests at Zentrum am Berg at the University of Leoben,” Berglez said. “For real-life use, we now need to make the individual components even more robust so that they can withstand real-life conditions and function reliably.

“We would also like to expand the system to include mini-drones in order to obtain additional data from a slightly higher position in the event of an emergency, which could significantly help emergency services in their work.”

<p>The post TU Graz develops navigation system for underground rescue teams first appeared on GPS World.</p>

Rohde & Schwarz will take part in the conference’s technical sessions with a presentation on “Challenges for UAV Operations in RF Dense Aerodrome Environments.”

The aviation sector today faces increasing air traffic density, rapid technological advancements and heightened security concerns, the company explained. Operators need test equipment that delivers laboratory level precision while tolerating the harsh environment of an airport runway or a remote navigation site.

Among the exhibits at the Rohde & Schwarz booth is the R&S EVSD1000 VHF/UHF Nav/Drone Analyzer, designed to conduct GBAS, ILS and VOR measurements in line with ICAO Doc 8071 and ICAO Annex 10. The receiver delivers laboratory precision, supports an air to ground Wi‑Fi datalink and gapless measurements with improved location accuracy during flight inspections. Customers benefit from a device that can be mounted on a drone, reducing the need for manned flights and lowering operational expenses.

Rohde & Schwarz gives airlines, airport operators and navigation service providers a reliable way to certify and maintain ground‑based aids under today’s demanding conditions. By combining high measurement accuracy, easy operation and durability, Rohde & Schwarz aims to help the industry keep pace with growth.

<p>The post Rohde & Schwarz to highlight UAV-based navigation analyzer at IFIS 2026 first appeared on GPS World.</p>

At Agrishow 2026, taking place April 27–May 1 in Brazil, Topcon will showcase solutions for row crop, coffee, citrus and sugarcane growers, including an expansion of its Value Line portfolio into vineyard and orchard spraying applications, as well as the introduction of a new modular GNSS receiver for precision agriculture.

Modular GNSS receiver. Topcon is introducing the XR-1P GNSS receiver, designed to deliver reliable positioning and manual guidance in a cost-effective, durable unit. Engineered with modular architecture, the XR-1P can be used as a standalone solution or integrated into broader Topcon systems, offering flexibility for a wide range of farming operations.

The receiver is designed to bridge the gap between entry-level positioning solutions and high-performance precision agriculture systems, making advanced GNSS technology more accessible without compromising reliability.

Expanding precision spraying for specialty crops. The CM-20 V Spray Controller, part of Topcon’s vineyard and orchard spraying control portfolio, is now available for use with the Value Line Steering solution. Designed for front-wheel-drive, mid-range tractors, the system offers an economical and scalable approach to precision spraying for specialty crops such as coffee and citrus.

The universal ISOBUS electronic control unit (ECU) integrates easily with existing farm equipment, regardless of brand, while on-the-go sensor-based control adjusts application rates based on crop density. This helps reduce input waste, minimize over- and under-application, and improve overall crop health and operational efficiency.

Sugarcane solution preview. An advanced look at a pre-commercial Sugarcane Yield Monitoring Solution will be showcased at the event. In development with the specific needs of Brazilian agriculture in mind, the solution will provide accurate, real-time yield visibility designed to maximize harvester efficiency, optimize logistics and support precision agronomy. By enabling more precise decision-making, the solution will help reduce input usage while increasing productivity in one of the country’s most strategic crops.

Brazil is a strategic market for Topcon Agriculture, as it is one of the world’s leading food producers. Topcon supports the region not only through innovations tailored to local agricultural needs but also through a strong and expanding network of distributors that provide access to technology, training, and ongoing support. Authorized dealers, including Agrosure, Alagro, Coopercitrus and WiseAgri in Brazil, as well as Nievas in Argentina and Gestecner in Paraguay, will be at the Topcon stand during Agrishow.

<p>The post Topcon launches innovations aimed at farmers at Brazil Agrishow first appeared on GPS World.</p>

Developed in collaboration with Intel, the MD-990-0011-B timing module is designed for seamless compatibility with Intel Xeon 6 SoC-powered server platforms, supporting both OEMs and ODMs in building future-ready systems. By leveraging Intel’s foundational vRAN architecture, the module enables robust, low-latency time synchronization, which is essential for distributed AI workloads and real-time applications.

Engineered for the reliability and scalability required by cloud infrastructure, virtualization and high-availability deployments, the MD-990-0011-B supports automatic source selection and locking across GNSS, synchronous Ethernet (SyncE) and precision time protocol (PTP). This flexibility supports continuous, accurate timing even as network demands evolve.

The MD-990-0011-B timing modules are available in two variants. MD-990-0011-BC01 offers eight hours of holdover performance; MD-990-0011-BA01 offers four hours of holdover performance. These timing modules consolidate several of Microchip’s advanced technologies into a single, highly integrated solution. Key components include:

• Synchronous Ethernet (SyncE) synthesizer (ZL80132B). Two independent digital phase-locked loop (DPLL) channels for flexible and resilient synchronization
• Oven controlled crystal oscillators (OCXOs, OX-22x). Provide up to eight hours of holdover, ensuring stable timing during GNSS outages or network disruptions
• MCP9808 temperature sensor. Supports enhanced, environmental monitor 24LC024 EEPROM implementing board configuration and VC-820 for low jitter performance

By unifying these critical timing components into a single plug-in module, the MD-990-0011-B streamlines server architecture, reduces design complexity and simplifies the supply chain. Its modular design enables rapid installation and simplified maintenance, minimizing downtime and facilitating effortless upgrades, key advantages for dynamic data center and 5G network environments.

<p>The post Microchip offers plug-in timing module for data centers, 5G networks first appeared on GPS World.</p>

Find their responses below.

Paul McBurney, oneNav

“The defense sector needs an off-the-shelf GNSS module that is small, light and low power, yet also highly resilient — such as a military-grade location system — to satisfy the insatiable growth in drones. While this segment is about a tenth of the total commercial vehicle market, it is significant compared to the emerging autonomous driving segment, where the need for resilience is still trying to figure out the cost-benefit of mitigating intentional interference.”

Jules McNeff, Overlook Systems Technologies

“If I had to pick newly emergent sectors with the highest need for precise and continuous PNT, I would say the autonomous system operations sector and portion of the artificial intelligence (AI) sector. AI cannot provide spatially or temporally ‘intelligent’ support if it does not have access to precise positioning and timing information from outside itself. PNT sources do not depend on AI, but ‘autonomous’ AI must have reliable PNT.

MigueL Amor, Septentrio

“The primary driver is the broad adoption of autonomy and automation across industries such as construction, logistics, agriculture, infrastructure, defense, or even entertainment. Amplifying this demand is the proliferation of smaller and lighter UAVs, drones and robots. Where a single manned platform once required one navigation system, a drone swarm may require hundreds or thousands of units. It is the combination of these two forces, adopting autonomy and automation and multiplying platforms, that is driving demand growth.”

Mitch Narins, Strategic Synergies

For many, the meaning of advanced positioning and timing solutions equates to solutions that provide higher accuracy and precision. For me, achieving an advanced PNT solution must require equal focus on the other PNT metrics — availability, integrity, continuity and coverage. Given the tumultuous state of the world these days, there is an emerging demand for solutions that enable resilient PNT in the defense sector, the commercial aviation and maritime sectors, in telecommunications and in power

<p>The post GPS World EAB Q&A: Which emerging sectors are driving the most demand for advanced PNT? first appeared on GPS World.</p>

An incessant fly caught the attention of the office’s lone occupant, hunched over a table covered with a large grid-lined sheet of paper. Pencils, erasers, French curves and straightedges lay scattered next to a stack of calculation sheets, but the man holding a pencil in one hand gripped a rolled newspaper in the other, intent on his battle with the fly.

Suddenly, the door burst open.

“Mr. Waugh!” the intruder exclaimed, panting as he rushed in.

“Radhanath,” Waugh replied in surprise, looking up from his maps. “I thought you were in Calcutta, 1,600 km away.”

“Yes, Mr. Waugh, I was, but this is too important to deliver by post.”

“Really, Radhanath. You intrigue me,” replied Waugh. “Come out with it. Your excitement is adding to this already unbearable heat.”

“Sir,” Radhanath tried to say calmly. “I have discovered the highest mountain in the world!”

That conversation happened in 1852. It was the crown jewel of an effort that began 50 years earlier. Britain was on the ascent. Surveying was the mathematics of empire. India, Britain’s largest protectorate, had never been systematically mapped. The British East India Company needed to know what minerals, crops and commodities could be turned into profitable enterprises, where they were, and how to move them to ports. This depended on accurately mapping India. Infantry officer William Lambton proposed an audacious solution: measure the entire subcontinent with triangles.

Lambton was granted the commission, and on April 10, 1802, the Great Trigonometrical Survey (GTS) of India began with a humble but critical baseline from St. Thomas Mount near Madras, 12 km south to Perumbauk Hill. Everything depended on the accuracy of this first baseline: even the smallest error would multiply as triangles spread across the subcontinent. Perfection was essential. The distance was measured with a 100-ft steel chain protected from the sun beneath A-frame tents to prevent thermal expansion. It moved slowly, 100 ft at a time from start to finish. Every link mattered. The baseline took 57 days.

To guarantee perfect alignment, Lambton relied on a massive custom-built theodolite. It weighed 1,102 lbs, requiring 12 men to carry. Surveyors planted stakes, stretched strings, and used the theodolite to correct for every change in elevation, turning a simple chain measurement into the geodetic foundation of the entire survey.

Time marched on faster than the survey. The East India Company estimated five years, but by 1818, the survey reached west to Mangalore and north to Hinganghat. It was too slow. Lambton’s vision of “an uninterrupted series of triangles…from sea to sea…to an unlimited extent in every other direction,” a complete geometric quilt covering India, proved implausible. Malaria took its toll. Lambton’s health declined and in 1823 he died at Hinganghat. George Everest inherited the survey.

Everest recognized Lambton’s dream of total coverage would take centuries. Instead, he conceived a “gridiron” of chains running north–south and east–west, intersecting at right angles, scaffolding to which localized surveys could be tied. The shift is evident on the GTS map: dense triangulation in south-central India reflects Lambton’s ambition, while the more open, structural network elsewhere reveals Everest’s pragmatism.

By the 1830s, Everest’s survey party had grown into slow-moving caravans, reaching as many as 1,000 people at peak times. Contemporary accounts describe columns supported by elephants, horses and camels, with hundreds of porters carrying tents, instruments and provisions. The logistics were immense: scouts rode ahead to negotiate passage with villages, reapers with scythes gathered grass for the animals, hunters supplied fresh meat and a traveling treasury paid workers and suppliers. To villagers, an approaching column appeared like a military invasion. Negotiations for assistance and safe passage could halt the survey for days.

The survey’s path was relentless. The Great Arc bisected India along the 78th meridian, from Cape Comorin to Bangalore, across the Deccan Plateau, through Hyderabad, over the northern plains to Dehra Dun at the Himalayan foothills. They didn’t simply pass through. They stayed. Sometimes for weeks, building 50 ft masonry towers to mount the theodolites.

When daytime heat and haze made measurements impossible, Everest shifted to night surveying using powerful lanterns visible from 30 miles away. They constantly adapted due to temperature, atmospheric refraction, verification baselines measured at the chain ends. Every measurement propagated from that first line at Madras; a minor error would compound over thousands of miles.

The price was paid in lives. Malaria wiped out entire parties. Three officers died in the Terai, the malarial lowlands of northern India. Two more retired, health-shattered. Everest himself contracted malaria repeatedly, suffering partial paralysis. The climate, he wrote, was “very deadly.”

The survey transformed the land. To achieve clear sight lines, villages were razed, sacred hills appropriated, and community supplies exhausted. Yet the work continued. In December 1841, almost 40 years since the GTS began, the 1,500-mile Great Arc was complete. The spine was in place. Everest retired in 1843, passing the work to Andrew Scott Waugh, who extended the gridiron eastward. Nepal and Tibet were closed to outsiders. Waugh understood the distant Himalayan peaks, more than a hundred miles away, would have to be measured from the border stations anchored to the GTS framework. Accuracy became even more critical. This shift in focus from Everest’s large sprawling triangles inching north like a spider’s web forming the Great Arc, to Waugh’s tight triangles hugging the Himalayan frontier is visible on the GTS map.

Over the next decade, Waugh’s teams pushed eastward through the jungles of Bengal, Bihar and Orissa, verifying baselines, fixing latitudes and longitudes astronomically, establishing stations that brought the peaks within mathematical reach. Along the entire border, surveyors recorded the peaks.

To measure Peak XV, six observation stations were selected across the Terai, the deadly malarial lowlands chosen for the clear site lines to the summit. From these stations, surveyors recorded azimuth and elevation angles across multiple seasons. They measured the summit at sunrise, when the peak was first illuminated. None of the surveyors knew the height of the mountains they were observing because distance could not be measured directly. Only when all stations were plotted on a map could the peak’s position be fixed and the elevation calculated. This high-level mathematics fell to the human computers in Calcutta, led by Radhanath Sikdar.

By 1851, Sikdar had risen to chief computer, directing the department that transformed field observations into verified measurements. The 1851 Survey Manual acknowledged his distinction: “Babu Radhanath Sickdar, the distinguished head of the Computing Department…whose intimate acquaintance with the rigorous forms and mode of procedure…render his aid particularly valuable.” Yet, neither his education nor his geodetic calculation training prepared him for the complexities of the Himalaya problem. Nonetheless, he took the raw observations and calculated the mountains’ heights to determine which, if any, of the distant peaks was truly the highest point on Earth.

Sikdar calculated the height of each of the peaks. There were many. It was slow, meticulous work. Peak XV required more than standard calculation. Six observation stations produced six independent height measurements, each requiring corrections for atmospheric refraction (light bending through air layers of varying density and temperature), Earth’s curvature (the summit was more than 100 miles away), and plumb-line deviation (the Himalayas’ mass pulled survey instruments slightly toward the mountains).

Sikdar applied the Method of Least Squares, a statistical technique for extracting the most probable value from multiple observations. Each station’s measurement carried uncertainty; combining all six through rigorous mathematics yielded a more reliable result.

The calculation took months. When Sikdar finished, he was stunned: exactly 29,000 ft recalculated and received the same result. The precision seemed too perfect. Sikdar knew the stakes. This wasn’t just another mountain. His calculations were correct. Peak XV was the highest point in the world, Chomolungma, meaning the goddess mother of the Earth. Such a discovery demanded the honor of delivering the news in person.

In April 1852, Sikdar traveled 1,600 km from Calcutta to Dehra Dun. The journey took weeks. He carried the calculations in his satchel and the announcement in his mind.

When Sikdar burst into Waugh’s office with the news, Waugh worried that exactly 29,000 ft (8,830 m) would make surveyors appear to have simply rounded. 2 ft were added, a small fiction to preserve credibility. The official height for Peak XV became 29,002 ft.

Waugh spent four years verifying before the official announcement in March 1856. The mathematics were sound from the moment Sikdar burst into that office. Then, 20 years later, the 1875 Survey Manual erased Sikdar’s name entirely. The British press called it “robbery of the dead.”

Sikdar’s calculations have stood the test of time. The 1954 Survey of India measurement, 102 years later, yielded 29,028 ft, a minimal difference. In 1999, GPS technology placed a receiver on Everest’s summit for the first time: 29,035 ft. The 2015 earthquake prompted the most comprehensive measurement yet.

On May 22, 2019, at 3 a.m., Nepali surveyor Khimlal Gautam departed Everest’s South Col for the 10-hour climb carrying 90 lbs (41kg) of equipment. The pre-dawn timing avoided crowds: the weight included a Trimble R10 GNSS receiver and ground-penetrating radar to distinguish rock height from snow depth. Eight continuously operating reference stations (CORS) were positioned across Nepal to receive signals from GPS, GLONASS, Galileo and BeiDou. Chinese surveyors simultaneously measured from the north.

Gautam spent hours on the summit, collecting data while his body slowly consumed itself in the death zone. He lost a toe to frostbite. A team member nearly died from oxygen depletion. Gautam understood, “Mount Everest symbolizes something in Nepal, but it’s not only a Nepal asset, it’s a world asset.”

On Dec. 8, 2020, Nepal and China jointly announced their result, agreeing for the first time the height was 29,031.69 ft. Sikdar’s error across 168 years was 31.69 ft, an accuracy of 0.11%.

From that moment in Dehra Dun, Sikdar, dusty from the road, calculations in hand, certainty in his voice, we trace backward through 50 years of framework building to understand what made that measurement possible. Peak XV, hidden in plain view, seen for hundreds of miles, refusing to be known, was finally measured.

Once we have measured it, we want to believe we know it, but the Indian and Eurasian tectonic plates continue to collide, pushing the mountain up four millimeters per year. Earthquakes in the region change the topography. The geoid problem persists: What does “sea level” mean 440 miles from the coast in a gravitationally dense region? Modern surveyors still grapple with the fundamental question: What does “height” mean when measured against a theoretical reference surface?

The Great Trigonometric Survey proved that surveyors could measure what they couldn’t touch, calculate what they couldn’t reach, and verify what they couldn’t see. It required building the geodetic infrastructure across a subcontinent, maintaining mathematical precision across decades, and accepting brutal human costs.

Then, the computer was a man. The information was in his satchel. The message was delivered in person. It was the first time the height of the highest known point was determined not by a physical barometer on a summit, but by mathematics alone, a man solving equations in a room 440 miles away. Sikdar proved the impossible: What couldn’t be touched could be measured, what couldn’t be reached could be calculated, and a man dusty from the road could hold the height of the world in the palm of his hand.

Four names for one mountain. Each represents a different understanding. Its ancient name, Chomolungma, and Sagarmatha, its national identity. Peak XV, its cartographic name marking the audacious attempt to measure it, and the name Mount Everest, the crowning achievement, a proclamation honoring mathematics, from Hipparchus who is credited with developing trigonometry to the computers, like Sikdar. It stands as a monument to all the surveying and cartography, especially of the 19th century accomplishing the impossible against extraordinary odds.

Surveying and mapping are jobs of courage and determination exploring the unknown, risking death in malaria-infested jungles, Everest working while stricken with partial paralysis, Abdul Hamid crossing a forbidden border, and Gautam’s predawn climb. They all understood what mattered was worth the risk. It is the surveyor’s call to arms: measure the Earth.

<p>The post Peak XV: The framework that measured Mount Everest first appeared on GPS World.</p>

Signal acquisition was achieved shortly after launch. The spacecraft is being managed at Lockheed Martin’s Denver-based launch and checkout operations center while it undergoes initial testing before integration into the operational network.

SV10 includes enhancements designed to improve the accuracy and resiliency of the constellation. Among its payloads is an optical crosslink demonstration designed to test direct satellite-to-satellite communication in orbit, a capability intended to strengthen system robustness.

The launch represents the fourth consecutive GPS mission conducted on an accelerated schedule.

GPS III satellites provide improved performance over earlier generations, including increased positioning accuracy, stronger resistance to jamming, and the addition of secure M-code signals for military users. The constellation supports positioning, navigation and timing (PNT) services for military, civil and commercial applications worldwide.

SV10 also carries a demonstration digital rubidium atomic frequency standard, an advanced clock designed to improve onboard timekeeping precision.

The deployment of SV10 concludes the GPS III series and precedes the next-generation GPS IIIF satellites. The upcoming series is expected to introduce additional capabilities, including enhanced anti-jamming features such as Regional Military Protection.

More than 30 GPS satellites are currently in orbit, providing global PNT services to billions of users across defense, infrastructure and commercial sectors.

<p>The post Lockheed Martin launches GPS III satellite first appeared on GPS World.</p>

The research survey takes place between April 20 and May 19. It consists of two survey legs, starting in Lowestoft, Suffolk, and ending in Falmouth, Cornwall. Throughout the four-week survey, using cutting‑edge survey technology deployed from the Research Vessel Cefas Endeavour, a team of 26 scientists from across the field of maritime research began collecting vital hydrographic, geological and environmental data when they set sail from Lowestoft next week.

The survey represents an unprecedented level of collaboration within the maritime sector. By combining skills and capabilities in a single survey, the team aim to secure data to deliver the UK government’s commitments and make advances in how the seabed is mapped, understood and managed.

UK CSM includes more than 30 public sector organizations commited to collect and share high-quality marine data. For the coastline mapping project, the 11 involved are the Maritime and Coastguard Agency (MCA); the UK Hydrographic Office (UKHO); British Geological Survey (BGS); Centre for Environment, Fisheries and Aquaculture Science (Cefas); Department for Environment, Food & Rural Affairs (Defra), The Crown Estate; Historic England; Joint Nature Conservation Committee (JNCC); Agri-Food and Biosciences Institute, Northern Ireland (AFBI); Natural England and the Royal Navy.

Over the course of the survey, the scientists on board will have the opportunity to work with experts from other public sector organizations, share skills, and source key seabed mapping data that supports a wide range of applications including offshore energy and infrastructure, marine ecosystem science, safety at sea, marine policy, and defense.

<p>The post UK scientists unite to map southwest coast seabed first appeared on GPS World.</p>

Combining prism scanning technology with a high-grade inertial navigation system (INS), the AlphaAir 6 delivers a maximum ranging capability of up to 2,100 meters and supports efficient data capture at typical flight altitudes of 400 to 600 meters above ground level.

The AlphaAir 6 integrates an upgraded laser engine and a high-grade IMU with 0.3°/h bias stability to improve trajectory accuracy and point cloud quality. This design removes the need for pre-mission IMU calibration and supports stable, efficient data collection for topographic mapping, corridor mapping, and wide-area aerial survey workflows.

The AlphaAir 6 combines fifth-generation real-time waveform processing with advanced multi-period technology to capture richer, denser, and more precise lidar data across complex terrain, vegetation, and built environments. According to CHCNAV, even at an ultra-high pulse repetition rate of 2,000,000 pulses per second, it continues to support real-time point cloud output, giving operators immediate in-flight visibility and a faster path to survey-grade 3D results.

To meet different project requirements, the AlphaAir 6 is available in single-camera and dual-camera configurations. Both options use large-format CMOS sensors to deliver high-resolution imagery, while the dual-camera version adds an ultra-wide field of view to improve image coverage and increase mapping efficiency.

With an integrated design and a weight of 1.35 kg, the AlphaAir 6 reduces payload burden on UAV platforms and helps extend flight endurance. Open interface protocols support integration with mainstream multirotor and fixed-wing UAVs, giving surveying and mapping professionals more flexibility across different mission types.

<p>The post CHCNAV launches AlphaAir 6 long-range airborne lidar for UAV mapping first appeared on GPS World.</p>

DroneDash Technologies and Geonet are forming Geodash Aerosystems Pte. Ltd. — a Singapore-incorporated joint venture to develop a new class of agricultural spraying drone for large-scale, industrial farming operations. Commercial deployment is set for Q3 2026.

Unlike conventional agriculture drones that require repeated manual pre-mapping before each deployment, Geodash Aerosystems’ platform uses real-time AI vision and centimeter-accurate RTK positioning to perceive, navigate, and adapt dynamically during flight. The result is faster deployment, lower operating costs, and continuous agronomic intelligence from the same system that does the spraying.

Most agricultural spraying drones in operation were adapted from general-purpose UAV platforms. Before each deployment, operators must manually survey and map the field, generate static flight plans, and repeat the entire process whenever terrain, planting patterns, or canopy profiles change. In oil palm plantations and large-scale row-crop environments, this mapping overhead directly limits how many hectares a team can cover and how quickly they can respond to emerging crop conditions.

The operational constraints are compounded the larger the estate. Manual pre-survey and field mapping is required before each deployment. Static flight plans must be recreated when terrain or canopy profiles change. Plans have limited adaptability to uneven terrain and mixed-age crops, when erosion or other changes occur.

Geodash Aerosystems’ drone architecture removes pre-mapping from the deployment workflow entirely. Using DroneDash’s proprietary AI vision system, the aircraft performs real-time perception of plantation structure, canopy height, and terrain features during flight. Geodnet’s RTK correction network delivers centimeter-level positional accuracy throughout each mission.

This combination enables:

• deployment without pre-mapping or manual mission surveys
• dynamic interpretation of rows, trees and operational zones
• continuous altitude and spray-rate adjustment over variable terrain
• rapid redeployment after replanting or field reconfiguration
• tree-level and zone-specific variable-rate application.

Situational awareness is generated dynamically during flight — not through a separate pre-deployment process. Each aircraft maintains geofencing controls, safety constraints, and full operational data logging for regulatory compliance and audit traceability.

Agronomic Intelligence Layer

Each GEODASH Aerosystems drone is integrated with DroneDash’s AI Smart Farming backend, which transforms every operational flight into a continuous data-collection activity. Spraying missions generate field data used to produce:

• canopy density and uniformity analysis
• crop stress and anomaly detection
• zone-level health scoring
• spray effectiveness validation
• terrain and drainage profiling
• historical trend analysis across blocks and seasons.

Backend AI analytics then deliver actionable decision support to plantation managers and agronomy teams: early indicators of pest, disease, or nutrient stress; identification of underperforming zones; optimized spray timing and dosage; and data-informed planning for replanting and fertilization. The drone functions as a continuous aerial intelligence layer, not a standalone spraying machine.

Geodash Aerosystems targets industrial agriculture markets where deployment speed, terrain adaptability, and precision matter most: oil palm plantations in Southeast Asia; sugarcane, soybean and corn operations in the United States; and palm, sugar and broad-acre estates in South America.

Pilot deployments and system validation have been conducted throughout 2025 and into early 2026 in collaboration with plantation operators. Commercial deployment is targeted for Q3 2026, following completion of manufacturing readiness and regulatory approvals.

<p>The post New Geodash intends to bring map-free, AI-driven precision spraying to industrial agriculture first appeared on GPS World.</p>