Precision agriculture is transforming modern farming by improving efficiency, sustainability, and yields. Technologies such as precision planting, smart farming, and autonomous farming depend on reliable embedded computing platforms for harsh agricultural environments.
Syslogic industrial PCs and rugged computers are designed for agtech applications including machine vision, ISOBUS-based control, and real-time data processing. Fanless and maintenance-free, they withstand shock, vibration, moisture, dust, and extreme temperatures – enabling reliable precision farming in modern agricultural machinery.
Syslogic embedded systems with ISOBUS connectivity are deployed worldwide in tractors, harvesters, and other agricultural vehicles. They serve as control computers, edge controllers for predictive maintenance, or vehicle monitoring systems, ensuring reliable operation in harsh farming environments.
Syslogic Industrial PCs provide precise control for digital crop production and precision agriculture. They enable accurate application of fertilisers and pesticides, improving yields and sustainability. Designed for agricultural vehicles, these fanless, maintenance-free, rugged systems are scalable, reliable, and ISOBUS-ready.
Automation is transforming agriculture, with robots performing tasks such as seeding, planting, fertilising, weeding, harvesting, and milking. Syslogic’s compact embedded box PCs deliver a robust, AI-ready hardware platform to control these autonomous machines efficiently in challenging field conditions.
Syslogic fanless agtech computers are built for harsh agricultural environments, enabling precision agriculture, autonomous farming, and efficient computer vision tasks. Designed for extreme conditions, they resist shock, vibration, dust, and temperature extremes, delivering reliable computing for agricultural machinery.
Syslogic’s embedded box PCs reliably fuse and synchronize data from radar, LiDAR, cameras, IMUs and other agricultural sensors. This enables deterministic real-time decision-making for autonomous farm machinery, field robots, and intelligent agtech systems.
Syslogic embedded PCs for agricultural technology offer wireless interfaces such as Wi-Fi, 4G, and 5G, enabling robust and scalable cloud communication. An optional u-blox GNSS receiver adds RTK-based precision positioning — even in remote areas. At the same time, vehicle motion and rotation angles can be captured with high accuracy, which is essential for autonomous agricultural machinery and field robots.
Our technical sales team will be happy to advise you. Depending on the required quantity, Syslogic can develop a customized embedded PC.
Contact us during office hours | Mon–Fri, 8:00 a.m. – 5:00 p.m. (CET)
In agricultural environments, vibration, dust, moisture, and extreme temperatures quickly push conventional hardware to its limits. Only truly rugged embedded computers deliver reliable performance under these conditions. Syslogic builds industrial-grade embedded systems for heavy-duty field operations in tractors, field robots, and autonomous agtech platforms used in precision agriculture. Our experts support OEMs and system integrators in selecting the right rugged hardware solution for their specific application.
A common example of precision farming is variable rate application (VRA) of fertilizers. In this approach, the field is divided into zones and analyzed individually based on factors such as soil nutrient levels, moisture, or yield potential. From this data, a prescription map is generated that defines how much fertilizer each zone requires. This ensures that every section of the field receives exactly the nutrients needed for optimal plant growth.
Syslogic embedded systems act as the central control and computing unit in this process. They process sensor data in real time, synchronize GNSS positions, and control application equipment with high precision — including via ISOBUS. With Edge AI, camera and sensor data can also be interpreted locally to dynamically adjust prescription maps and enable autonomous decision-making in the field. This increases efficiency, reduces input usage, and improves sustainability.
AI is fundamentally transforming precision agriculture by turning farm data into actionable insights, driving automation, efficiency, sustainability, and scalability in modern farming operations. At its core, precision agriculture replaces uniform practices with site-specific, data-driven methods that adapt to variations in soil, weather, and crop health.
One of the most visible impacts of AI is in crop monitoring and health assessment. AI-powered systems analyze data from drones, satellites, soil probes, and field sensors to detect nutrient deficiencies, early disease signs, pest infestations, and water stress — often before they are visible to the human eye. This enables targeted interventions that improve yields, reduce chemical use, and enhance environmental sustainability.
AI also enables variable rate application of fertilizers, pesticides, and water by continuously analyzing soil maps, historical yield data, and real-time field conditions. Automated equipment can then apply the precise amount of inputs at the right place and time, boosting productivity while minimizing waste and costs.
Beyond crop management, AI drives autonomous farming machinery and field robots. Tractors, harvesters, and robots use machine learning, computer vision, and edge AI inference to navigate fields, perform repetitive tasks, and make real-time decisions with minimal human intervention — increasing efficiency and reducing labor dependency.
In logistics and supply chain management, AI forecasts yields, optimizes storage and transport, and enhances traceability, improving overall farm profitability and reducing post-harvest losses.
For Agtech OEMs and system integrators, rugged embedded computers with Edge AI capabilities are key enablers. By processing sensor and machine data locally in tractors, field robots, and autonomous implements, these systems reduce latency, increase reliability in harsh field conditions, and support real-time decision-making without dependence on intermittent connectivity.
In summary, AI is revolutionizing precision agriculture by enabling smarter, faster, and more efficient farm operations — from the field to the supply chain — while promoting sustainable, resource-efficient production.
Electronics used in tractors, sprayers, harvesters, autonomous field robots, and other agricultural machinery must operate reliably in harsh outdoor environments. Shock, vibration, dust, moisture, and wide temperature swings quickly expose the limits of standard Industrial PCs, which often fail prematurely under real farming conditions. This is why OEMs in agtech and precision agriculture increasingly rely on rugged embedded computers designed specifically for demanding field operations.
Truly rugged embedded computers use long-life components and a hardware architecture optimized for high shock and vibration resistance. Fanless rugged systems are especially well suited for agricultural applications, as they avoid moving parts and mechanical failure points associated with fans and active cooling — a crucial advantage in off-road vehicles and autonomous farming equipment.
Thermal management is handled by a purpose-built enclosure that dissipates heat efficiently while protecting the electronics against physical impact, dust, and moisture. The enclosure is not an accessory — it is a critical part of the overall system design and reliability strategy.
Equally important is industrial-grade connectivity. Fanless rugged embedded computers typically use screw-locked, vibration-resistant connectors (such as M12) to ensure secure power and data links, even in continuously operating, high-vibration agricultural machinery.
Industrial PCs play a critical role in modern agtech, providing the robust, reliable computing power required for precision agriculture, autonomous machinery, and intelligent field operations.
A primary application is in autonomous farming equipment. Tractors, harvesters, and field robots rely on industrial-grade embedded PCs to process sensor data in real time, control navigation, and execute tasks autonomously. These systems integrate Edge AI to interpret camera feeds, LiDAR, radar, and IMU data locally, enabling precise decision-making even in remote or connectivity-limited fields.
Industrial computers are also widely used for precision farming operations such as variable rate application (VRA) of fertilizers, pesticides, and irrigation. By analyzing soil maps, yield data, and environmental conditions, these systems generate real-time prescriptions that control application equipment, ensuring each field zone receives the exact inputs needed to optimize yield and reduce waste.
Another key application is machine monitoring and predictive maintenance. Embedded box PCs collect and analyze data from agricultural machinery to detect wear, prevent downtime, and extend equipment life. This capability is especially important for high-value assets operating under harsh conditions, where vibration, dust, moisture, and extreme temperatures can quickly degrade conventional electronics.
Industrial computers also serve as ISOBUS controllers in tractors, sprayers, and harvesters, enabling seamless communication between implements, sensors, and central control units. This ensures standardized data exchange, smooth operation, and efficient integration of new digital farming technologies.
Finally, industrial PCs provide data logging and connectivity for farm management systems, supporting cloud-based analytics, supply chain tracking, and real-time reporting. Rugged embedded systems from Syslogic ensure that all these functions operate reliably in off-road environments, from remote fields to autonomous greenhouses.
In summary, industrial PCs and embedded computers in agtech power autonomous machinery, precision farming, predictive maintenance, ISOBUS integration, and real-time analytics, making them essential for modern, efficient, and sustainable agriculture.
