The autonomous farming system could be used to grow self-pollinating crops that require no human intervention. This system can decrease crew time needed to operate plant growth systems in by providing autonomous monitoring, real-time data reporting, environment management, automatic harvesting, and cleaning.
This is the main page of the Astrocultivator Web Application, where users will be given access to data that the system collects as well as some controls including the ability to take pictures.
The Nvidia Jetson Orin is the control center of the AstroCultivator project. It takes sensor readings, runs our AI and machine vision algorithms, sends out commands to our array of cameras, controls the robotic arm, and hosts the web application.
This is the AstroCultivator team's first time meeting in person to tour the container farm located on the California State University Northridge campus, the future home of the Astrocultivator project.
The Astrocultivator project is an interdisplanry product consisting of multiple teams working together at the CSUN Automated Reasearch Center offices. AstroCultivators has a large list of hardware, software and other technologies to keep track of. The systems' logic is complex and the amount of moving parts within the systems requires a lot of care and collaboration to get right.
The AstroCultivator project uses a Realsense D455 3d Camera to produce RGB and Depth images! These images are processed onboard the Realsense Camera and sent to the Jetson Orin for further proceessing.
The Jetson Orin utilizes the camera's output for Object detection, and depth images used to direct the robotic arm for harvesting. The object detection model is able to detect specific species of tomato and lettuce at the moment.
Hyperspectral imaging is provided by the Cubert Ultris 3. Hyperspectral imaging enables diagnostic analysis on the growth of the crop.