Once you've kept and learnt about honeybees for a few years and if you've professionally developed software for even longer than that, the next step seems almost inevitable: you wanna do something with bees and computers. This intersection of Apiculture and Computing could perhaps be called "bee informatics" and in this repository I'm hoping to share some of my adventures in this area.
- Exploring the BeesBook 2015 dataset sample with Apache Solr 7.5
- Bedtime for bees is when?
- Animating bees with Python and Matplotlib
- Apimondia 2019 poster presentation: Citizen Science with Open Data and Open Source Software: A Case Study
- Background subtraction with bees
- YOLO with bees
- Intelligent scissors and 256 shades of bee
- Exploring BeeWalk data with Python Pandas
Christine Poerschke is a spare-time beekeeper in suburban London since 2010 and a member of her local beekeepers' association. She joined Bloomberg as a software developer in 2004, after completing a PhD entitled "Development and evaluation of an intelligent handheld insulin dose advisor for patients with Type 1 diabetes". Christine is an active open source contributor who likes to include a little bit of bee content in technical presentations e.g. the "Open Source Search with Apache Lucene/Solr" poster at GHC2016 in Houston and the "Learning-to-Rank with Apache Solr and Bees" talk with repo at Lucene/Solr Revolution 2017 in Las Vegas. She occasionally tweets as @BeeChristineP and enjoys learning more about bees, both from her own honeybees and by studying for the British Beekeepers Association's module examinations.