Hi, I am Logesh G, a 2nd-year undergrad in Computer Science. I am very interested in computer vision and robotics. The project is about an autonomous robot capable of harvesting oyster mushrooms using computer vision that is more intelligent than humans.
Problem:
My parents have an oyster mushroom farm where we harvest the mushrooms twice a day. There are several stages in the growth process, like incubation, pinning, and the growth stage. However, not all mushroom bags (i.e., containers) produce the mushroom in the same state. This affects the quality of the mushrooms produced. So an autonomous robot could solve the problem.
Solution:
The proposed robot would scan the mushroom bags using computer vision, and deep learning, and the data (i.e., about the particular container) would be stored in a database. If the mushroom is ready to harvest, then the robotic arm mechanism will pick it up and harvest it. If it is not perfect, then the particular mushroom is removed with a similar mechanism. If it is still in the budding stage (i.e., the pinning stage), the image of the blob undergoes image processing like feature extraction, and the time required for the fully mature stage is approximately determined using AI and stored in the database after the time calculated the robot again visits the bag and makes the decision. These are done with the help of a camera with some additional sensors. As an additional feature, the lifetime of the mushroom bag (container) could be determined and stored in the database, where if it is more than the threshold, it can be removed from the farm. The robot could also determine the amount of sunlight needed and the humidity needed with the help of the mushrooms produced (like a feedback loop). All the important information is sent to the farmer via SMS or Email, so the farmer can solve the issue and improve production.
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