The focus of our education and research field is on food system defined as the aggregate of food-related processes involving food producing, harvesting, processing, packaging, transporting, marketing, consuming, disposing of food. Education and basic and applied research for sustainable food system, smart food system, agricultural robot, and information technology for monitoring the quality of agricultural and marine products and food are carried out in this field.LEARN MORE
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.LEARN MORE
Laboratory seminars are held every Friday from 16:20 to 17:50 in room 419. If you would like to participate, please contact Morio.LEARN MORE
In a collaborative research with a private company, we have developed a product called GRAIN SCANNER to evaluate the quality of grain.
We use image processing technique to develop systems.
Color information is very important to sense the internal quality of agricultural products from the outside apperance.
Our systems and robots are developed by using machine learning and deep learning algorithms.
Out mission is to develop inovative and smart systems that work in envaironmental and agricultural fields.
Out goal is to release inovative and smart systems that work in envaironmental and agricultural fields.
We have developed some machine vision systems for smart agriculture.
Graduate school of Bioresources, Kurima-machiya-cho 1577, Tsu, Mie, JAPAN
morio + @bio.mie-u.ac.jp
+(81) 59 *** ****
Mon - Sat: 09 Am - 20 Pm