Agricultural and Life Sciences (IFAS)
Hofstetter Lab
Led by Daniel Hofstetter · Agricultural and Biological Engineering
What we study
The Hofstetter Lab studies smart agriculture and animal behavior using AI, sensors, and 3D printing. They develop tools like yield monitors and barn ventilation systems to improve farm efficiency and safety.
What working here is like
- Computational
- Building & testing
- Farm animals (cattle, horses, poultry)
- Coding helps
- Project
- 1
- Papers
- 5
Current projects
AI with video cameras to detect animal behavior
Using cameras and AI to study how animals respond to indoor environments in barns.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Explainable Deep Learning and Edge Inference for Chilli Thrips Severity Classification in Strawberry Canopies
2026 · Agriculture
Uses AI to spot and explain chilli thrips damage in strawberry plants.
- Environmental Measurement and Control System for Animal Health Research Using Arduino
2025 · Sensors
Builds a system to track and control farm conditions for animal health studies.
Show 3 more papersShow fewer
- Power Requirement and Energy Consumption of Small Bale Recompression
2024 · Journal of the ASABE
Tests how compression pressure and speed affect energy use in recompressing small bales of different crops.
- Effect of Hardwood Dust and Ammonia Gas on the Respiratory Integrity of Broiler Chickens
2023 · Avian Diseases
Examines how hardwood dust and ammonia gas damage respiratory health in broiler chickens.
- Automatically Controlled Dust Generation System Using Arduino
2022 · Sensors
Builds a dust generator to study how poultry respond to sustained airborne dust levels.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Daniel Hofstetter hasn't set up this page yet. Their UF Scholars profile lists their publications.