An operational robotic pollen monitoring network based on automatic image recognition

An abbreviated method for the quality control of pollen counters

(2019) Matt Smith et al.   GRANA

Building an automatic pollen monitoring network (ePIN): Selection of optimal sites by clustering pollen stations

(2019) Jose Oteros et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Pollen and spore monitoring in the world

(2018) J. T. M. Buters et al.   Clinical and Translational Allergy

Viewpoint: When Will AI Exceed Human Performance? Evidence from AI Experts

(2018) Katja Grace et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Errors in determining the flow rate of Hirst-type pollen traps

(2016) Jose Oteros et al.   AEROBIOLOGIA

All-optical automatic pollen identification: Towards an operational system

(2016) Benoît Crouzy et al.   ATMOSPHERIC ENVIRONMENT

Automatic and Online Pollen Monitoring

(2015) Jose Oteros et al.   INTERNATIONAL ARCHIVES OF ALLERGY AND IMMUNOLOGY

Pollen monitoring: minimum requirements and reproducibility of analysis

(2014) C. Galán et al.   AEROBIOLOGIA

Using the WIBS-4 (Waveband Integrated Bioaerosol Sensor) Technique for the On-Line Detection of Pollen Grains

(2013) David J. O’Connor et al.   AEROSOL SCIENCE AND TECHNOLOGY

Climate classification revisited: from Köppen to Trewartha

(2013) M Belda et al.   CLIMATE RESEARCH

Quality control in bio-monitoring networks, Spanish Aerobiology Network

(2012) Jose Oteros et al.   SCIENCE OF THE TOTAL ENVIRONMENT