Noboru Noguchi

The objective of the study was to develop a field robot in agricultural operation environment.The navigation sensor consisted of an RTK-GPS and an inertial measurement unit (IMU). Thesensor fusion algorithm was capable of identifying FOG bias and compensating location error inreal-time for providing sufficient navigation information in support of accurate robot guidance inthe field. The field tests of a field robot have been conducted in Sapporo, Japan. Tillage,planting, cultivating and splaying

This study developed a field robot for an agricultural operating environment. Thenavigation sensor consisted of an RTK-GPS, a fiber optic gyroscope (FOG), and an inertialmeasurement unit (IMU). A sensor fusion algorithm was used to identify FOG bias andcompensate for location error in real-time, thus providing sufficient navigation information tosupport accurate robot guidance in the field. The guidance system could guide the agriculturalrobot automatically to follow either straight or curve pat

With the intensive application of techniques in global positioning, machine vision, image processing, sensor integration, and computing-based algorithms, vehicle automation is one of the most pragmatic branches of precision agriculture, and has evolved from a concept to be in existence worldwide. This paper addresses the application of robot vehicles in agriculture using new technologies.

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