Seamless communication between humans and things like cars and other
such machines in important industry sectors is constantly evolving as each day passes.
In the 21st century, crucial advancements in several fields have implemented IoT in
them because of its numerous merits. When IoT is put into practice alongside Cloud
Computing and Data Analytics, it can reduce the gap and enhance cooperation between
the physical and digital worlds, which is essential for sustainability in this
hyperconnected era. The project involves collecting data through sensors in the field,
which is then sent to the IoT analytics and cloud-based platform ThingSpeak. This
platform enables data ingestion and storage, allowing farmers to remotely visualize and
analyze real-time data in the form of data streams and take action accordingly. Fuzzy
logic is one such approach to computing that works on degrees of truth rather than
single-valued Boolean logic, thus yielding better and more accurate conclusions for an
imprecise spectrum of data. Fuzzy logic is implemented in this project to control water
pumping time based on user-defined thresholds. With an increasing population and
depleting resources, precision farming has proven to be efficient as it focuses on
minimizing waste and is cost- and energy-efficient. The objective of this paper is to
develop a system that assists farmers in remotely monitoring data, optimizing resource
utilization, and increasing productivity.
Keywords: Data ingestion, Fuzzy logic, IoT, Precision farming, Thing speak.
