TY - GEN
T1 - Plant specific direct chemical application field robot
AU - Jeon, Hong Y.
AU - Tian, Lei
AU - Bode, Loren
AU - Grift, Tony
AU - Hager, Aaron
PY - 2009
Y1 - 2009
N2 - A mobile robot was developed to directly apply chemical to individual weed, plant specific direct chemical application. The robot has a mobile platform equipped with a laptop, a robotic arm with the direct application end effector and a machine vision. The laptop computer and the arm were connected to the robot's microcontroller via a serial interface, and the machine vision was controlled by the computer via IEEE 1394 interface: the machine vision detects weeds and the arm with the end effector eliminates weeds. A C++ program was written to control the robot and its components: the program included an image processing algorithm for the machine vision to detect weeds under variable outdoor illumination, and a robotic arm motion control algorithm to eliminate detected weeds. Detected weeds were eliminated by the end effector via cutting a stem and sweeping chemical on its surface. As a result, the developed robot showed the fully automated processes of plant specific direct chemical application: detecting and eliminating weeds, examining the application results, and executing the re-application. While the robot was testing in the field, the robot was able to detect the plants despite outdoor illumination changes. The robot controlled 63.6 % of the weeds in the field. Developed robot may enlighten the potential to reduce the chemical use, to improve chemical efficiency and to reduce environmental contamination from agrochemical.
AB - A mobile robot was developed to directly apply chemical to individual weed, plant specific direct chemical application. The robot has a mobile platform equipped with a laptop, a robotic arm with the direct application end effector and a machine vision. The laptop computer and the arm were connected to the robot's microcontroller via a serial interface, and the machine vision was controlled by the computer via IEEE 1394 interface: the machine vision detects weeds and the arm with the end effector eliminates weeds. A C++ program was written to control the robot and its components: the program included an image processing algorithm for the machine vision to detect weeds under variable outdoor illumination, and a robotic arm motion control algorithm to eliminate detected weeds. Detected weeds were eliminated by the end effector via cutting a stem and sweeping chemical on its surface. As a result, the developed robot showed the fully automated processes of plant specific direct chemical application: detecting and eliminating weeds, examining the application results, and executing the re-application. While the robot was testing in the field, the robot was able to detect the plants despite outdoor illumination changes. The robot controlled 63.6 % of the weeds in the field. Developed robot may enlighten the potential to reduce the chemical use, to improve chemical efficiency and to reduce environmental contamination from agrochemical.
KW - Agricultural robot
KW - Direct chemical application
KW - Machine vision
UR - http://www.scopus.com/inward/record.url?scp=76449111055&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=76449111055&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:76449111055
SN - 9781615673629
T3 - American Society of Agricultural and Biological Engineers Annual International Meeting 2009, ASABE 2009
SP - 692
EP - 711
BT - American Society of Agricultural and Biological Engineers Annual International Meeting 2009, ASABE 2009
T2 - American Society of Agricultural and Biological Engineers Annual International Meeting 2009
Y2 - 21 June 2009 through 24 June 2009
ER -