SYSTEM AND METHOD FOR DETECTING AND MANAGING PESTS

Abstract: a system and method of identifying pests within a closed environment, including training, by a computer, a neural network based on training data and a selected training algorithm to generate a trained neural network, wherein the training data comprises data associated with features of specific pest-types and tags associated with the pest-types and the selected training algorithm includes a deep learning framework, detecting one or more pests within an image using the trained neural network, the image being an image of at least one substrate on which are disposed the one or more pests, and generating a report indicating presence of the detected one or more pests within the closed environment.

Inventor(s): Winter Guerra

CPC Classification: A01G31/045 (HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING (picking of fruits, vegetables, hops or the like ; propagating unicellular algae ))

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