Agricultural Engineers
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Apply knowledge of engineering technology and biological science to agricultural problems concerned with power and machinery, electrification, structures, soil and water conservation, and processing of agricultural products.
The occupation “Agricultural Engineers” has an automation risk of 43.9%, which is slightly below the base risk of 44.6%. This moderate risk level stems from the mixture of automatable and resistant tasks inherent in the profession. Agricultural engineering requires specialized expertise in developing, designing, and monitoring systems and technologies used in agriculture, which means not all job components are equally susceptible to automation. While technological advancements continue to streamline certain activities, the intricate and context-specific nature of many agricultural engineering responsibilities protects a significant portion from complete automation. Therefore, the likelihood of automation is present but not overwhelmingly high, aligning closely with the calculated base risk. Among the top three most automatable tasks for agricultural engineers are the preparation of reports, sketches, working drawings, specifications, proposals, and budgets for proposed sites or systems. These are largely procedural, information-driven tasks that can be effectively handled by software equipped with computational and drafting capabilities. Similarly, visiting sites to observe environmental problems, consulting with contractors, or monitoring construction activities can increasingly be supported by drones, sensors, and remote monitoring solutions. Meeting with clients, such as district or regional councils, farmers, and developers to discuss their needs, also involves routine scheduling and information exchange activities that can be automated or facilitated by communication platforms and AI-driven interfaces. On the other hand, the most automation-resistant tasks reflect the need for complex decision-making, creative problem-solving, and high-level supervisory skills. Supervising food processing or manufacturing plant operations, for example, demands real-time judgment and human oversight to address unexpected issues. Designing food processing plants and related mechanical systems is inherently creative and tailored to unique project needs, making it resistant to standardized automation. Moreover, designing and supervising environmental and land reclamation projects in agriculture and related industries require adaptability and the integration of multidisciplinary knowledge. Notably, the bottleneck skills of originality—with levels at 3.4% and 3.6%—underscore the importance of innovative thinking in these tasks, further limiting automation risk. Overall, while some repetitive and form-based aspects can be automated, the core engineering, creative, and supervisory components confer resilience against large-scale automation.