AgriTech
Modern AgriTech systems operate in some of the most challenging environments: variable weather conditions, difficult terrain, and high reliability requirements. Whether it’s weeding robots, inspection drones, post-harvest sorting and vision systems, field analysis platforms, or other applications, EMG2 provides the essential products and solutions to design systems capable of operating fully autonomously, even under the most challenging conditions.
Agricultural Robots
Agricultural robots must navigate unpredictable terrain, identify crops and weeds in real time, and operate autonomously for long hours. EMG2 can help you to optimize agri-robotics projects with integrated solutions combining vision, motion control, and real-time processing. Our camera modules and vision systems enable accurate plant detection and obstacle avoidance. Precision motors, encoders, and controllers provide reliable actuation for steering, spraying, and harvesting mechanisms. Rugged Box PCs run AI models that process data at the edge, while LFP batteries ensure long-lasting power in remote fields. From perception to action, EMG2 integrates all the essential building blocks—vision, motor control, embedded computing and power—required for autonomous, reliable agricultural robots ready for real-world conditions, into a coherent architecture designed for field deployment.
Vision
Modern agriculture increasingly relies on intelligent vision to optimize yields, reduce inputs, and automate field operations. EMG2 empowers precision agriculture projects with robust vision solutions designed for outdoor environments. Our advanced camera modules and real-time image processing systems, combined with AI, enable accurate crop monitoring, weed detection, and yield estimation across vast areas. Our hardware supports automated spraying, selective harvesting, and autonomous equipment guidance. With ruggedized components and Edge AI processing, combining robustness, precision and embedded intelligence, EMG2 delivers the visual reliability needed to move toward more autonomous, sustainable and productive agriculture.
