SYSTEMS AND METHODS FOR THE CULTIVATION AND HARVESTING OF AQUATIC ANIMALS
Embodiments described herein relate generally to systems that can include an optical sensor configured to generate image data associated with a set of aquatic animals, a memory, and a processor operatively coupled to the memory and the optical sensor. The processor can be configured to receive the image data associated with the set of aquatic animals, determine a set of characteristics associated with the set of aquatic animals based on the image data using a machine learning model, and classify each aquatic animal in the set of aquatic animals based on the set of characteristics using the machine learning model. The processor further configured to count at least a subset of the aquatic animals based on the classification.
1 . A system, comprising:
an optical sensor configured to generate image data associated with a set of aquatic animals;
a memory; and
a processor operatively coupled to the memory and the optical sensor, the processor configured to:
receive the image data associated with the set of aquatic animals;
determine a set of characteristics associated with the set of aquatic animals based on the image data using a machine learning model;
classify each aquatic animal in the set of aquatic animals based on the set of characteristics using the machine learning model; and
count at least a subset of the aquatic animals based on the classification.