Notes
Presenting aeroponic monitoring research at UralCon 2026
I presented the results of my aeroponic irrigation monitoring research at UralCon 2026 after our paper was accepted for publication.
On 25 September 2026, I presented our work “A Computer Vision Approach to Automated Monitoring of Aeroponic Nozzle Operation” at UralCon 2026.
The conference states that its proceedings will be published in IEEE Xplore and that the articles will be indexed in Scopus.
The paper grew out of my bachelor’s project on monitoring aeroponic irrigation using computer vision, supervised by Evgeniy Pikalov.
The main experiment compared normal five-nozzle operation with a controlled three-nozzle condition. The final data set contained 26,319 frames from 44 irrigation cycles, and the evaluated image descriptors showed statistically significant separation between the two operating conditions.
For the conference paper, the goal was not only to show that the image changes were detectable, but to present the approach as a lightweight diagnostic channel that could complement conventional hydraulic measurements and remain computationally practical on hardware such as a Raspberry Pi.
The presentation became a useful endpoint for the first completed research phase of the project: from a rough Python experiment in early 2025 to a working processing pipeline, experimental validation and an accepted conference paper.