“…Notably, more software tools are becoming available to directly interface with hardware for managing disparate sensor data over networks [ 5 , 6 ], automate the operation of laboratory instruments [ 7 ], and directly manage laboratory experiments [ 8 ]. Platforms such as Arduino and Raspberry Pi, with highly versatile open-source hardware, friendly development environments, and large communities of users have resulted in massive numbers of highly-customized sensor systems to address needs in precision agriculture [ 9 , 10 ], plant phenotyping [ 11 ], particle physics [ 12 ], geosciences [ 13 , 14 ], long-term low-power environmental monitoring [ 15 ], micro-scale process control [ 16 ], and other analytical [ 17 , 18 , 19 ] and educational [ 12 , 20 , 21 , 22 ] applications.…”