A system leveraging computer vision and robotics for accurate plant tissue sampling, enhancing efficiency and precision in greenhouses. Integrates existing robotics and IoT technologies to reduce manual labor and increase sampling accuracy.
The proposed solution is a cutting-edge system that employs computer vision and precision robotics to revolutionize plant tissue sampling in greenhouse environments. By integrating these technologies, the system aims to significantly improve the efficiency and accuracy of sampling processes, reducing the reliance on manual labor and minimizing human error. This innovative approach enhances the quality of tissue samples and increases throughput, making it an ideal solution for diverse greenhouse settings and plant species.
Key features:
Currently at Technology Readiness Level 3, this solution has been demonstrated in controlled environments with an experimental model for plant identification and a prototype rover. Future developments include iterative testing and field validation to ensure robustness across various conditions and plant species.
Gravity Farms, Inc. is a company that leverages technology in the agricultural sector, specifically focusing on the intersection of AI and crop production. The company operates a platform known as ProtoLab, which is designed as a research and protocol management tool for various stakeholders, including indie researchers, academic laboratories, and commercial biotech organizations. Through this service, users can track protocol versions, engage in team collaboration, and utilize API access for internal tools and automation. The company also maintains operations related to the wholesale distribution of plants to retailers and brokers.
By providing a structured environment for experimentation and protocol lineage, Gravity Farms supports research-driven agriculture and propagation workflows. Its offerings cater to different needs ranging from free community access for individual scientists to custom commercial plans for organizations requiring SSO, role-based access controls, and compliance support. The company emphasizes a secure, cloud-based infrastructure to facilitate data management and collaborative research, ensuring that proprietary protocols remain confidential while fostering an environment for agricultural innovation.