Team Introduction:
There are 16 full-time teachers in the mechatronics technology and equipment team, including 2 professors, 3 associate professors and 6 lecturers. Among them, there are 9 doctoral degree teachers, 1 doctoral tutors and 4 master's degree tutors.
The team has long been devoted to the research and application of the photoelectric detection technology and intelligent equipment of agricultural products, the intelligent production management technology and equipment of the forest orchard, and the intelligent railway detection instruments. In recent years, it has undertaken more than 10 national scientific research projects, more than 20 provincial and ministerial level scientific research projects, and 10 other scientific research projects. The research results obtained 21 authorized invention patents and 30 utility model patents. Over the past 5 years, more than 60 papers have been published in professional periodicals at home and abroad, including 20 papers in SCI and over 20 papers in EI.
In recent years, the team has also instructed university students to take part in the science and technology competition actively, and has won 2 national awards and 6 provincial and ministerial awards. The team won the first prize of provincial science and technology progress, 6 provincial and ministerial awards, and 6 achievements. Among them, the "fruit internal quality rapid nondestructive testing and sorting equipment" with complete independent intellectual property rights is in the international advanced level. It has realized the breakthroughs of the internal and external quality separation equipment in our country and replaced the imported equipment. It has been known as the "fruit artifact" by all walks of life. and is now in the navel orange of Gannan, Jiangxi, Shangrao Majia pomelo, Shandong apple, Hebei pear, Chongqing citrus, Guangdong Meizhou gold pomelo and other main fruit producing areas are popularized and applied. The demonstration area is 40 thousand mu, more than 100 training technicians are trained, more than 1200 fruit farmers are trained, and 5 on-site demonstrations are held, and 120 sets of intelligent agricultural machinery and photoelectric sorting equipment have been demonstrated. An intelligent management and demonstration base for orchard has been established in Dingnan, Ji’an and WanAn in Jiangxi Province, which has significantly enhanced the industrialization level and market competitiveness of the regional characteristic agricultural products in our province.

Research direction:
1.Photoelectric detection technology and intelligent equipment for agricultural products
2.Intelligent production management technology and equipment of forest orchard
3.Railway Intelligent Detection Technology
Backbone members:
Name | Degree/Title | Class of tutors | Research Interests | E-mail |
Yande Liu | Doctor/Professor | Doctoral tutor | Mechatronics Technology/ Spectral nondestructive testing technology | jxliuyd@163.com |
Xudong Sun | Doctor/Associate Professor | Master's tutor | Photoelectric detection technology/ Intelligent instrument control | Sunxudong_18@163.com |
Aiguo Ouyang | Bachelor/ Professor | Master's tutor | Safety inspection of vehicles and facilities/ Optical Mechatronics Technology | Ouyang1968711@163.com |
Zhiyuan Gong | Bachelor/ Associate Professor | Master's tutor | Mechanical and electrical control technology/ Intelligent detection and control | gongzy@ecjtu.jx.cn |
Yong Hao | Doctor/ Associate Professor | Master's tutor | Intelligent instrument/ Spectral diagnostic technique | haonm@163.com |