1 citations · 1 across the 2 of their papers we have counts for
6 papers
The Hive Mind is a Single Reinforcement Learning Agent
Karthik Soma, Yann Bouteiller, Heiko Hamann +1
Decision-making is an essential attribute of any intelligent agent or group. Natural systems are known to converge to effective strategies through at least two distinct mechanisms:…
Early Detection of Water Stress by Plant Electrophysiology: Machine Learning for Irrigation Management
Eduard Buss, Till Aust, Heiko Hamann
Purpose: Fast detection of plant stress is key to plant phenotyping, precision agriculture, and automated crop management. In particular, efficient irrigation management requires e…
Embedded Deep Learning for Bio-hybrid Plant Sensors to Detect Increased Heat and Ozone Levels
Till Aust, Christoph Karl Heck, Eduard Buss +1
We present a bio-hybrid environmental sensor system that integrates natural plants and embedded deep learning for real-time, on-device detection of temperature and ozone level chan…
When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems
Eduard Buss, Till Aust, Heiko Hamann
Living plants, while contributing to ecological balance and climate regulation, also function as natural sensors capable of transmitting information about their internal physiologi…
Automated Phytosensing: Ozone Exposure Classification Based on Plant Electrical Signals
Till Aust, Eduard Buss, Felix Mohr +1
In our project WatchPlant, we propose to use a decentralized network of living plants as air-quality sensors by measuring their electrophysiology to infer the environmental state,…
Automatic Classification of Subjective Time Perception Using Multi-modal Physiological Data of Air Traffic Controllers
Till Aust, Eirini Balta, Argiro Vatakis +1
In high-pressure environments where human individuals must simultaneously monitor multiple entities, communicate effectively, and maintain intense focus, the perception of time bec…