welcome to my website

Hello, I am Morio currently based in Mie University.

In the concept of our study, we propose an intelligent agricultural worker assistance system using autonomous robot vehicles. The system autonomously controls cameras on the vehicles in order to track workers and identify workflows based on worker behaviors in fields. The system also formulates assistance request menus such as the timings, locations, and tasks that need to be performed to assist workers, autonomously assign navigation routes and tasks to robots to go to the needed locations, and autonomously send the request commands to robots without requiring workers to operate the system. The robots autonomously travel along navigation paths by recognizing the field scenes, such as the farm road, furrow, ridge, and crop. Operators at remote sites monitor the working information presented graphically in real time by the worker assistance system, such as assistance request menus, workflow, positions, orientations, and behaviors of workers, and robots, via the Internet. Through the assistance operations, the operators can receive an agricultural education.

Get Started

Our studies

Development of Agricultura Robot for Intelligent Worker Assitance

In our previous studies, we developed a vanishing point detection method with a single camera for navigating an autonomous robot (Makino, 2012). The vanishing point in a field image could be detected; however, the method could not segment an input image into the furrow region and other regions and could not identify a single targeted furrow line to navigate a vehicle and robot. Therefore, in the other study, a visual-based furrow line detection method without GNSS was developed to navigate vehicles and robots in greenhouses as well as open fields. Our furrow line detection method demonstrated a high potential to robustly detect a single targeted furrow line to travel in the 17 types of test fields: nine types of crop fields (sweet pea, green pea, snow pea, lettuce, Chinese cabbage, cabbage, green pepper, tomato, and tea), and eight types of tilled soil fields (Teramoto et al., 2015; Morio et al., 2016b; Morio et al., 2017b). Although the furrow line detection system could detect a furrow line inside fields with ridge and furrow structure, the system had no function to detect the global position of the vehicle. In our previous study, we developed a visual-based vehicle position estimation system; however, the system could not estimate the precise global vehicle position but identify the driving route with high precision (Hanada et al., 2016).

In this current study, we focused on the development of a field scene recognition system to robustly and precisely estimate the global position of an autonomous agricultural vehicle without using GNSS. In our system, the global position of the vehicle can be recognized by using a set of field scene images captured sequentially from 3 cameras: a front camera, a left camera, and a right camera.

My Skills

Programming . Image processing . Study, Education, Management .

Programming & algorithm construction 91%
Image processing 90%
Education 85%
Study 90%
Management 80%
Logical thinking 80%
Passion & Motivation 100%


Programming class for C++, R, Phython, gnuplot, Scilab, VBA.


Coaching of Communication, presentation style, and Slide design.


Faculty Development, Facilitator, Design of e-portfolio, Moodle & e-Portfolio help desk


Student counseling, Design of training program and environment

My Research and Professional Experience

Previous companies and my tasks

Division Managing Director 2017 Apr - 2019 Mar

Mie University, Organization for the Development of Higher Education and Regional Human Resources

Professor (concurrent post)2020 Apr -

Mie University, Higher Education Development Center

Associate Professor 2007 Apr - 2020 Mar

Mie University, Higher Education Development Center

Division Managing Director 2009 Apr - 2011 Mar

Mie University, Higher Education Development Center

Professor 2020 Apr -

Mie University, Graduate School of Bioresoruces

Associate Professor 2004 Apr - 2020 Mar

Mie University, Graduate School of Bioresoruces

Assistant Professor 2001 Apr - 2004 Mar

Mie University, Faculty of Bioresources

Assistant Professor 1995 Jul - 2001 Mar

Kyoto University, Graduate School of Agriculture

My Education

My university and degree

Doctor of Agriculture 2001 May

Kyoto University

Master course 1994 Apr - 1995 Jul

Kyoto University, Left the master program early without obtaining the master degree due to my employment as an assistant professor in Kyoto University

B.S. (Bioresources) 1990 Apr - 1994 Mar

Mie University


Development of autonomous agricultural robots for intelligent worker assistance.

Say hello..

Send me your message.

Visit my office

1577 kurima machiyacho, Tsu Mie, Japan



morio e-mail

Morio Laboratory