| dc.description.abstract | Sri Lanka is a nation with a strong history of crop farming.
For the vast majority of people back then, agriculture was
the only profession accessible. The cultivation is declining
because of the economic problems. By automating the
agricultural process, a country's GDP and its residents'
lifestyles will grow. The goal of this research is to learn
more about the WSN-based systems that have already been
created and to pinpoint the best technology and sensors for
a WSN that will be created to support big farms in Sri
Lanka. Wireless sensor networks in agriculture and other
technologies utilized in agriculture as well as for object
recognition were the two primary areas of focus of this
study. This study comprises a systematic literature review
which is conducted by reviewing the most important set of
research papers after identifying 100 research activities
related to the discussed field. Further, in this study, the
proposed design for the system is also discussed. The
ZigBee protocol, which is the most modern and most
readily scalable protocol among the ones that are now
available, was used in the development of the majority of
WSNs. Sensors were employed to measure humidity,
temperature, and light. Additionally, some systems had an
inbuilt expert system to give farmers professional advice on
crop cultivation. To take pictures of the field, cameras were
placed in the sensor nodes. The Atmega128L, coupled with
the ZigBee protocol and various sensors, is the controller
of the node that this article finds to be the most appropriate.
The most effective algorithm for object identification and
categorization is DTE. | en_US |
