# Concept of a Sensor Test Environment for Dusty Agricultural Conditions

arXiv: https://arxiv.org/abs/2609.03895 · HTML: https://mlsanity.com/paper/2609.03895/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 15 references that are in the map.
- First posted on arXiv 3 Sep 2026.

## Builds on (most cited first, 2 of 2)

- [A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down?](https://mlsanity.com/paper/1912.03251/) (2019)
- [RB-Dust -- A Reference-based Dataset for Vision-based Dust Removal](https://mlsanity.com/paper/2306.07244/) (2023)

## Abstract (arXiv)

Dust in agriculture presents a significant challenge for autonomous agricultural machinery. Dust can impair the performance of sensors and algorithms. This work, therefore, presents a concept for a proving ground consisting of an indoor and outdoor area. The indoor area comprises a laboratory test bench where dust circulates in a closed system and a test hall where life-size objects can be placed. The outdoor area features dedicated test setups that enable reproducible data to be recorded with and without dust during real-world agriculture work. The proving ground and the setups are visualized in 3D.