An overview of Automation, Robotics, and Sensor-based Approaches in Weed Detection and Control

Limiting factors of general weed control methods create the situation for the design-development of new approaches based on robotics, automation, and sensor techniques. Several studies have documented the yield loss associated with weed competition and weed discrimination, identification, and control mechanisms. The automatic distinction between crop and weed has importance in weed control applications. Sensor-based approaches, machine vision systems, RTK GPS-based systems, and some other techniques are effective in weed control and help in improving crop yield. Robotic technology could provide a means to reduce the current dependency of agriculture on chemical herbicides by minimizing environmental impacts. The new technologies promise the future improvement of agriculture's few remaining unmechanized and drudgery tasks. So, here we tried to give an overview of these improved technologies in weed control applications.