Cybersecurity Risks to Modern Farming & Precision Ag Tech

The agricultural sector is undergoing a significant transformation driven by the adoption of digital technology, a shift often referred to as Agriculture 4.0. As modern farming operations increasingly rely on data to inform decisions for current and future growing seasons, the industry faces growing vulnerability to cybersecurity risks. Farm systems, ranging from sensors and controls to robotics and drones, could be instantly down in a cyber crisis. This reliance on technology creates new vectors for malicious actors, turning cyber security into a critical component of farm management and national security.

The Shift to Data-Driven Farming

Historically, farmers made decisions based on touch, feel, and direct observations in the field. In the current landscape, modern farmers rely heavily on data. According to Matthew J. Mitroka, PhDCISSP, writing for the Global Ag Tech Initiative, nearly every process on the farm now generates data that informs not only the current growing season but also subsequent years. While farm products remain the ultimate goal as goods that generate revenue, decisions based on data throughout the season drive contemporary operations. This paradigm shift means the contemporary farmer is effectively farming data.

However, this digital dependence introduces significant risk. The likelihood that modern equipment replacing older models is smart or connected to the internet increases. These devices essentially create a new virtual door to the farm that must be secured. The systems likely require system access and data protection in ways that may be new to the farm operator. Data and access to it become targets for online criminals targeting farms, especially via ransomware.

Ransomware and Operational Risks

Ransomware represents a specific and severe threat to agricultural operations. In a ransomware attack, someone attacks a system and digitally locks access to it or the data stored within. Access is typically restored only when a ransom is paid. Notably, this unlock process does not always work, and farmers may lose both their ransom payment and their data. The loss of farm data, or access to it, along with farm systems and equipment, could severely impact a farm.

Operators are encouraged to consider where data and computer systems are used within their operations. Critical items that cannot be operated without digital systems represent a cybersecurity need. The loss of farm business records could impact the ability to make timely tax payments. Many farms rely on digital systems to monitor or control processes. As noted by industry analysis, cybersecurity should encompass all farm systems, devices, and data, including protection from loss or corruption.

Structure of Precision Agriculture Systems

Precision agriculture, abbreviated as PA, is widely believed to fundamentally change how farming works in the future. Compared to traditional farming, PA emphasizes the importance of data and its efficient utilization, including data collection, analysis, interpretation, and delivery. Accordingly, PA highly relies on cyber-physical systems that bring together sensors, computers, the internet, and farm equipment. Despite the numerous benefits PA offers, it also brings some risks to farming practices. Like any complex machinery, the more complicated a system becomes, the higher the chances of encountering problems if not managed carefully.

One prominent risk is cybersecurity, which involves malicious attacks on the cyber aspect of the PA systems. In reporting published on March 3, 2025, by Xufei Yang, Ali Nafchi, Sushant Mehan, and Young Chang for SD State Extension, the basic structure of a PA system was outlined to enhance farmers’ understanding of potential cyber vulnerabilities. The breakdown of a precision agriculture system can be demystified using fertilizer application as an example.

Vulnerabilities in the Workflow

In the traditional approach to fertilizer application, a farmer would start by taking soil samples from a crop field and sending them off to a lab for fertility analysis. Once the lab completes the analysis, they would either mail or email the results. This stage involves data collection and delivery. Next, the farmer would decide on the type and amount of fertilizers needed for crops, relying on expertise or seeking advice from extension services, NRCS, or seed suppliers. This stage involves analyzing and interpreting the data to make decisions. Finally, the farmer would load the selected fertilizers onto an applicator and adjust its settings to ensure that the right amount is applied to meet the crop’s nutrient needs in the field.

In a precision agriculture system, each of these steps involves digital connectivity, creating multiple points where cyberattacks could occur. Research published via ScienceDirect indicates that the agricultural sector now offers tools and services for retaining, storing, and analyzing the vast amounts of data produced by Smart Agricultural systems. However, this industry is more vulnerable to cyber security risks due to its growing reliance on technology. Additional research highlights STRIDE-based cyber security threat modeling for IoT-enabled precision agriculture as a method to address these higher cybersecurity risks.

National Security Implications

The scope of these threats extends beyond individual farm operations. Reports indicate that U.S. Agriculture is at risk of cyber attacks, marking a new front in national security. With the growing adoption of digital technology, external factors contribute to agriculture technology with higher cybersecurity risks. The need for farmers to be aware of the risks and learn basic cybersecurity practices becomes increasingly important.

As the industry continues to integrate operational intelligence services and connected devices, the surface area for potential attacks expands. Security measures must evolve to protect the data-driven decision making that leads to the shift in the farming paradigm. Without securing these virtual doors, the efficiency gains of Agriculture 4.0 may be offset by the potential for severe operational disruption.