Bench Talk

Source: Paul/stock.adobe.com, generated with AI

Automation has transformed agricultural machinery. Modern tractors, sprayers, harvesters, and other farm equipment are no longer merely mechanical equipment. Instead, they function as distributed embedded systems that integrate sensors, cameras, positioning data, electronic controls, actuators, telematics, and artificial intelligence (AI) to monitor conditions, make decisions, and manage resources.

Across many types of agricultural machinery, advanced technologies perform specialized functions. Soil sensors monitor moisture saturation, pH, and nutrient levels, while embedded cameras provide real-time visibility of crop conditions. Global Navigation Satellite Systems (GNSS) supply the positioning data that guidance and control systems need for precision spraying, planting, and harvesting. Custom electronic control units (ECUs) embedded in equipment optimize fuel consumption and water distribution via automated irrigation systems, while actuators in harvesters and picking machines enhance efficiency and productivity. Telematics and AI algorithms integrate data from these technologies, analyzing camera and sensor data to improve equipment operation and resource utilization (Figure 1).

Figure 1: Modern agricultural machinery integrates cameras, sensors, antennas, telemetry, displays, controllers, gateways, and network infrastructure throughout the vehicle, creating an increasingly interconnected electronic system. (Source: TE Connectivity, modified by Mouser)

The adoption of these technologies is already widespread. According to the USDA Economic Research Service, 70 percent of large-scale US crop farms in 2023 reported using autosteering guidance systems for machinery, while 68 percent reported using yield monitors and yield or soil mapping technologies.^[1] As agricultural equipment becomes more automated and connected, power requirements, data processing demands, and the need for greater interconnectivity increase.

As additional sensors, cameras, and connected systems are integrated into agricultural equipment, designers must ensure that power, data, and control signals move reliably across increasingly complex machines. This article examines the engineering challenges that accompany that complexity and the technologies that help maintain dependable system performance.

Maintaining End-to-End System Reliability

More sensors, cameras, and connected systems in automated agricultural environments increase the potential for technical issues with systems and components. Every new device added to a machine brings more than just another data source. Depending on the system architecture, it may also introduce additional connectors, cabling, network traffic, processing requirements, and power demands. Each of those creates another potential point of failure where power delivery or communication can be disrupted.

As system complexity grows, designers must also address challenges related to signal integrity and electromagnetic interference (EMI), particularly for cameras that generate and transmit large volumes of visual data while sharing network resources with other sensors and control systems. A poor connection, degraded signal, transmission delay, or power interruption anywhere along the data path can affect the flow of information from the sensor to the systems that depend on it. As a result, maintaining reliable operation requires preserving the integrity of the entire system and maintaining processes to continuously monitor its performance.

The operation of an automated precision sprayer illustrates this challenge. The process begins when an embedded camera captures an image depicting the condition of crops. The system transmits the image to an edge processor that analyzes it and determines what action the sprayer should take. A controller issues a command to the sprayer, which is transmitted via the network to begin an operation. An actuator opens the appropriate valve or nozzle, and feedback—such as valve position, flow rate, pressure, or actuator status—verifies that the controller’s command has been executed. A fault in a single component anywhere along the path from edge sensor to performance confirmation can derail the operation. When scaled across a large farm managing fleets of sprayers, tillers, tractors, and other connected equipment, the number of potential failure points increases rapidly. Therefore, ensuring reliable machine operation requires robust interconnects, dependable communication pathways, and continuous monitoring throughout the system.

Designing for Agricultural Operating Conditions

Another major challenge when automating farming processes is the physical environment in which components and equipment must perform. Outdoor farming exposes the physical data path to a variety of potential threats and contaminants that can cause short- and long-term faults and degradation. Dust, mud, and moisture are constantly present in agricultural applications and can potentially damage or erode components, cables, and connectors. Large agricultural machines are susceptible to vibrations from normal operation or from the rugged surroundings they operate in. They are often exposed to chemicals and fertilizers that corrode metals or chemically degrade susceptible cables and surfaces, and typically must be pressure-washed to be thoroughly cleaned. In addition, temperature cycling in motorized equipment creates mechanical strain, and UV exposure can erode cables and components over time.

As a result, equipment and components require strong sealing to prevent the ingress of liquids and particles. Shielding from UV exposure also reduces long-term degradation and increases equipment lifespan, a major factor in reducing overall costs. Cable routing and strain relief are essential for reducing cable exposure to heat, contaminants, and weather, thereby maintaining overall system reliability. It is critical that automated agricultural equipment be robust and reliable enough to meet the spectrum of challenges posed by their physical environments.

Managing Growing Data and Bandwidth Demands

Cameras, sensors, and automation all increase demand for bandwidth as they become more integrated into agricultural machinery and equipment. Modern farming machinery contains embedded cameras that stream data over the network to edge processors or control centers. Machine vision and lidar systems generate large volumes of information that must be transmitted and processed quickly enough to support real-time operational decisions. GNSS positioning accuracy depends on factors such as satellite geometry, signal quality, multipath, atmospheric errors, receiver design, and, in high-precision systems, the availability of correction data such as real-time kinematic (RTK) and precise point positioning (PPP).

Imagery, data collected from soil sensors, and satellite positioning can be used to create prescription maps that help farmers optimize crop production and resource management, thereby further increasing demand for bandwidth. Telematics systems help farmers monitor and coordinate fleets of agricultural equipment in real time, while onboard diagnostics continuously assess equipment health to identify issues before they lead to costly repairs or downtime.

The Agricultural Industry Electronics Foundation (AEF) High-Speed ISOBUS Project conducted simulations of automated farming machines equipped with three to five cameras, operating at speeds ranging from 14Mbps to 75Mbps and delivering packets varying from 42 bytes to 1500 bytes. The simulation indicated that a 100Mbps network could meet immediate and readily forecast needs, although a 1Gbps network may be required for larger-scale and future use cases.^[2] As the number of sensors and inputs grows, network speeds will have to increase to meet the greater demand. Large-scale agricultural operations may be operating hundreds of interconnected machines simultaneously, and sufficient bandwidth is necessary to maintain efficient and reliable performance

As of 2026, High-Speed ISOBUS remains under development, with AEF targeting HSI 1.0 for 2028.

Building Robust Agricultural Connectivity Systems

To meet the data transmission and reliability needs of modern precision agriculture, TE Connectivity offers a suite of robust agriculture solutions. TE’s AMPSEAL connectors provide environmental sealing for applications exposed to moisture, dust, and extreme temperatures, and DEUTSCH DT environmentally sealed connectors support wire-to-wire and wire-to-board connections. Single- and multi-port antennas support wireless connectivity across agricultural machinery, while cable assemblies and heat-shrink tubing help protect and maintain connections throughout the physical data path. Together, these technologies provide designers with options for building the robust power, data, and signal paths required by increasingly connected and automated agricultural equipment.

Enabling the Next Generation of Smart Farm Equipment

As agricultural machinery becomes more automated and connected, reliable operation depends on more than rugged equipment. Power, data, and control signals must move dependably across increasingly complex systems while withstanding harsh environmental conditions. Robust interconnect solutions help maintain connectivity, support growing bandwidth demands, and enable reliable performance across modern agricultural equipment.

Author

Alex Pluemer is a senior technical writer for Wavefront Marketing specializing in advanced electronics, emerging technologies and responsible technology development.

Sources

[1] https://www.ers.usda.gov/data-products/charts-of-note/110550
[2] https://www.aef-online.org/about-us/activities/high-speed-isobus.html