An integrated robotic system designed for precise plant tissue sampling in greenhouses, utilizing advanced machine vision, LiDAR, and sensor technologies. This innovation promises enhanced accuracy in identifying and sampling plant tissues, improving agricultural efficiency.
The robotic system for greenhouse plant tissue sampling is a cutting-edge solution designed to enhance precision and efficiency in agricultural practices. This system integrates a linear robotic arm, a mobile platform, and a specialized tissue sampling tool. By employing advanced machine-vision algorithms, it accurately identifies and localizes desired plant tissues for sampling. The integration of LiDAR, RGB-D cameras, and IMU sensors facilitates precise navigation and manipulation within greenhouse environments, making the system a valuable asset for modern agriculture.
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The robotic system is currently at Technology Readiness Level 5, indicating that it has been validated in a relevant environment. The focus is now on further development and validation within greenhouse settings, aiming to meet specific agricultural needs and enhance operational efficiency.
Washington State University is a comprehensive public land‑grant research university serving the state through a multi‑campus system anchored in Pullman. Industry engagement runs through a research and technology park in Pullman, a health sciences campus in Spokane integrated with regional hospitals, and a statewide extension network linking faculty with companies and communities. The Tri‑Cities campus sits minutes from a U.S. Department of Energy national lab, enabling collaborations, shared facilities access, and talent pipelines for regulated sectors. Research is supported by competitive federal funding from agencies such as NSF, NIH, USDA, DOE, and DoD. A dedicated technology transfer office manages IP, licensing, and startup support, complemented by incubator and pilot‑scale resources.