Agricultural and Life Sciences (IFAS)
Tziolas Lab
Led by Nikolaos Tziolas · Soil, Water, and Ecosystem Sciences
What we study
The Tziolas Lab uses artificial intelligence and Earth observation data to improve soil health monitoring and decision-making in agriculture. They develop AI techniques and integrated sensing approaches for efficient soil resource management.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Papers
- 5
Recent papers, explained
- Assessing diesel contamination in soils under bare and vegetated conditions using hyperspectral data, volatile organic compound measurements, and machine learning
2026 · Soil Security
Uses satellite and chemical tests to detect diesel pollution in Florida soils.
- Spatiotemporal controls on soil organic carbon stocks in subtropical grazing lands: An uncertainty-aware digital soil mapping approach
2026 · Geoderma
Maps soil carbon in Florida grazing lands using satellite data and soil models.
Show 3 more papersShow fewer
- Hydrological and biogeochemical influences on contrasting environmental pathways of chlorothalonil and its transformation product in agricultural systems
2026 · Environmental Pollution
- The Brazilian intelligent cloud soil analysis system for monitoring, reporting, and solution verification
2026 · Geoderma
Develops a cloud-based system for real-time soil analysis using spectral data.
- SHAPE-BR: A Soil Health Assessment Protocol and Evaluation framework for Brazil
2026 · Soil and Tillage Research
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Nikolaos Tziolas hasn't set up this page yet. Their UF Scholars profile lists their publications.