Evidence record 19557 · automatically gathered

Automated detection and counting of redbanded stink bugs in soybean using an improved computer vision model

The redbanded stink bug (RBSB), Piezodorus guildinii, is a major economic pest of soybean, with feeding damage that leads to significant yield losses and increased reliance on pesticide applications. Current management practices depend on manual identification and repeated field counting, which are labor-intensive, time-consuming, and prone to human error, particularly across large production areas. To address these limitations, this study evaluated the potential of computer vision models to aut

Record details

Published: 14 August 2026
Source: Frontiers in Artificial Intelligence
Category: Research
Topics: Jobs & economy
Retrieved: 15 August 2026

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ethics.ai (14 August 2026), “Automated detection and counting of redbanded stink bugs in soybean using an improved computer vision model,” evidence record 19557, https://ethics.ai/record/19557 (originally published by Frontiers in Artificial Intelligence).

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