|Publication Type:||Journal Article|
|Year of Publication:||2014|
|Journal:||Biodiverdity Data Journal|
|Keywords:||Arduino, big data, environmental monitoring, Ethernet, humidity, internet of things, open hardware, open source, temperature|
The increasing transformation of biodiversity into a data-intensive science has seen numerous independent systems linked and aggregated into the current landscape of biodiversity informatics. This paper outlines how we can move forward with this programme, incorporating real time environmental monitoring into our methodology using low-power and low-cost computing platforms.