Abstract

This comprehensive review examines thirty-nine data loggers and
their associated literature, systematically critiquing their design and
implementation. The integration of data loggers in farm monitoring proves
cost-effective, enabling the simultaneous monitoring of multiple parameters
without human intervention. The accrued data, when logged over time,
contributes to more accurate weather predictions, empowering farmers to
strategically plan for upcoming seasons. However, the review reveals a
prevalent issue among existing data loggers: many cannot read and record
various weather parameters concurrently, coupled with insufficient storage
capacity. This limitation hinders their suitability for prolonged, unattended
data storage. Additionally, a significant number of the reviewed data loggers
lack long-range wireless data transmission capabilities, restricting effective
weather monitoring from a distance. The findings underscore the need for
researchers to focus on developing advanced long-range data logger systems
with enhanced memory storage capacities to address these identified
shortcomings.