Abstract

This paper presents the development of Agromonitor, an information system aimed at optimizing pest management in precision agriculture. The objective is to provide producers with a tool for automatic detection, species identification, and early warning of infestations. The methodology involves the use of sensors in traps that capture pest images, which are then processed by an artificial intelligence model based on computer vision. As a result, a functional prototype was developed, featuring a dashboard that displays critical alerts, a visual history of captures, and trap locations. The system proved to be viable in identifying pests such as caterpillars and aphids, offering agile and visual support for decision-making in the field.

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