Source at:https://fruct.org/publications/volume-32/fruct32/High cost, time intensive work, labor shortages
and inefficient strategies have raised the need of employing
mobile robotics to fully automate agricultural tasks and fulfil
the requirements of precision agriculture. In order to perform
an agricultural task, the mobile robot goes through a sequence
of sub operations and integration of hardware and software
systems. Starting with localization, an agricultural robot uses
sensor systems to estimate its current position and orientation in
field, employs algorithms to find optimal paths and reach target
positions. It then uses techniques and models to perform feature
recognition and finally executes the agricultural task through
an end effector. This article, compiled through scrutinizing the
current literature, is a step-by-step approach of the strategies and
ways these sub-operations are performed and integrated together.
An analysis has also been done on the limitations in each sub
operation, available solutions, and the ongoing research focus
