Breno M. Freitas

IoT for Development: Building a Classification Algorithm to Help Beekeepers Detect Honeybee Health Problems Early

Joseph A. Cazier, Antonio Rafael Braga, Edgar E. Hassler, 2019, AMCIS.

Applying the Long-Term Memory Algorithm to Forecast Loss of Thermoregulation Capacity in Honeybee Colonies

Joseph A. Cazier, Antonio Rafael Braga, Breno M. Freitas, 2019, Anais do Workshop de Computação Aplicada à Gestão do Meio Ambiente e Recursos Naturais (WCAMA).

A method for mining combined data from in-hive sensors, weather and apiary inspections to forecast the health status of honey bee colonies

Joseph A. Cazier, Antonio Rafael Braga, Edgar E. Hassler, 2020, Comput. Electron. Agric..

Data Mining to Characterize Seasonal Patterns of Apis mellifera Honey Bee Colonies

Antonio Rafael Braga, Danielo G. Gomes, Breno M. Freitas, 2018, SBSI.

A cluster-classification method for accurate mining of seasonal honey bee patterns

Joseph A. Cazier, Antonio Rafael Braga, Breno M. Freitas, 2020, Ecol. Informatics.

BeeNotified! A Notification System of Physical Quantities for Beehives Remote Monitoring

Antonio Rafael Braga, Breno M. Freitas, Danielo G. Gomes, 2020, RITA.

Agricultural area losses and pollinator mismatch due to climate changes endanger passion fruit production in the Neotropics

Breno M. Freitas, Guy Smagghe, Antonio Diego M. Bezerra, 2019, Agricultural Systems.

A horizon scan of future threats and opportunities for pollinators and pollination

Breno M. Freitas, Peter Neumann, Andrew B. Barron, 2016, PeerJ.

Wild Pollinators Enhance Fruit Set of Crops Regardless of Honey Bee Abundance

Breno M. Freitas, Ignasi Bartomeus, Taylor H. Ricketts, 2013, Science.