These methods, however, are not suitable to power the Raspberry Pi for long periods of time in the field. The existing technology of powering the Raspberry Pi away from the grid includes: (1) using a high output power bank (2) and use of a power management board like the PiJuice UPS HAT. Shutting it down unconventionally due to depletion of batteries may result in corruption of its storage hence loss of data. The Raspberry Pi being a computer means care needs to be taken when powering it.

It is an ideal device for data collection since it can be interfaced with a lot of sensors and it also has the ability to process the data onboard. The Raspberry Pi is a single board computer that is operated using a Unix-based operating system that is freely distributed and can be powered from DC sources like batteries. The batteries can be coupled with the other sources of energy such as solar and wind to allow long term deployment and smooth operation of the sensors. One of the main challenges encountered when designing battery-powered sensors to be deployed in the field is lengthening their duration of operation. For reliable powering of the sensors, batteries are the most effective due to the intermittent nature of the other alternatives stated above. To power these sensors, we have to resort to alternative energy sources such as batteries, solar or wind energy.

Occasionally, these data need to be collected from the environments far from the grid using sensors. Data collection is one of the main challenges in machine learning. The adoption of data-intensive machine learning algorithms is seeing new applications without enough labeled data. Machine learning is gaining wide usage in many walks of life.

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