  The advancements in precision agriculture are vital to support the increasing
demand for global food supply. Precision spot spraying is a major step towards
reducing chemical usage for pest and weed control in agriculture. A novel spot
spraying algorithm that autonomously detects weeds and performs trajectory
planning for the sprayer nozzle has been proposed. Furthermore, this research
introduces a vision-based autonomous navigation system that operates through
the detected crop row, effectively synchronizing with an autonomous spraying
algorithm. This proposed system is characterized by its cost effectiveness that
enable the autonomous spraying of herbicides onto detected weeds.
