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Intelligent Agricultural Machinery
Submission Deadline: Jun. 30, 2015
Lead Guest Editor
College of Engineering, China Agricultural University, Beijing, China
Guest Editors
  • Long Xie
    College of Engineering, China Agricultural University, Beijing, China
  • Shouhao Sun
    School of Information and Electronics, Beijing Institute of Technology, Beijing, China
  • Dong Wang
    College of Engineering, China Agricultural University, Beijing, China
  • Xiangang Han
    School of Civil and Environment Engineering, University of Science and Technology Beijing, Beijing, China
  • Hojatollah Rashidi Alashty
    Departement cybernetic, Moscow State Aviation Technological University, Moscow, Russia
  • Professor Abdel Rahman Ahmed
    Bio-engineering and Post-harvest at Agricultural Engineering Research Institute, Agricultural Research Center, Dokki, Giza, Egypt
  • Prabhakaran Ayyasamy
    Department of Electronics and Communication Engineering, Anna University, Chennai, Tamil Nadu, India
Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
Papers should be formatted according to the guidelines for authors (see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=134). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.
Published Papers
The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.
Agricultural mechanization is an important part in the field of agricultural engineering, which will promote agricultural development and agricultural modernization. On one hand, horizontally, agricultural machineries can be extended to play role in forestry, animal husbandry, fishery and other industries. On the other hand, longitudinally, they are applied before, during and after the agricultural production process, and are further developing towards the aspects of the storage, processing, transportation of agricultural and sideline products, three-dimensional agriculture, water-saving agriculture and precision agriculture.

Along with the development of high and new technology, such as computer technology, sensor and detection technology, information processing technology and control technology, the operating performance of agricultural machinery has been being greatly promoted, which has been improving the labor productivity as well as the working conditions of workers. Especially, nowadays, combined with the rapid development of intelligent technology, various agricultural robots and intelligent system are constantly emerging in the field of agricultural automatic control. And so, agricultural machinery is no longer confined to mechanical and electrical integration, but gradually to the intelligent and high integration. Intelligent agricultural machinery can detect working environment information automatically and make decisions fully based on objective date during operation, which can avoid the influence from operators’ unreliable judgment and different operating level and reduce judgment errors because of operators’ fatigue after working long hours. Furthermore, if desired, it can implement variable-rate application according to the change of working environment conditions to make more reasonable and effective use of agricultural resources and also to reduce environment pollution.

To promote agricultural intensification and agricultural modernization, one of the important measures is to realize intelligent agricultural machinery. Therefore, this special issue is dedicated to research of intelligent agricultural machinery technology. And the research objects involve seed selection classifier, tillage machine, precision seeder,transplanting machine, weeding machine, fertilizing machine, spray machine, irrigation equipment, harvester, picking robot, grafting robot, drying and storage equipment of agricultural products, and other agricultural machinery.

Potential topics may include but not limited to:

1. Agricultural robot
2. Intelligent manipulator
3. Farmland geographic information system
4. Global Positioning System(GPS)
5. Remote Sensing System (RS)
6. Intelligent navigation
7. Automatic path planning
8. Obstacle avoidance
9. Self-driving technology
10. Farmland information monitoring system
11. Variable-rate technology (VRT)
12. Crop growth parameters detection
13. Farmland information fusion technology
14. Agricultural expert system
15. Decision support system (DSS) for the management of crop production
16. On-line automatic detection
17. Automatic target recognition and location
18. Machine vision technology
19. Automatic detection and classification of agricultural products
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