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
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Applied and Filtered: An End-to-End Algorithmic Fairness Audit of A Public Employment Agency
arXiv cs.CY · 14 August 2026
Measuring Curriculum-Labor Market Alignment at the Scale of a Program Portfolio
arXiv cs.CY · 14 August 2026
TopoIntent: Compiling Security Intent into Executable, Compliance-Checked Network Topologies
arXiv · 13 August 2026
Simulation-to-real transfer learning for infrared spectroscopic chemical sensing and analysis from molecules to complex samples
arXiv · 13 August 2026
Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model
arXiv · 13 August 2026
Applied and Filtered: An End-to-End Algorithmic Fairness Audit of A Public Employment Agency
arXiv · 13 August 2026
How to cite this record
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).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.