Intelligent Agricultural Machinery Equipment for Boosting Grain and Oil Crop Yields

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Technology".

Deadline for manuscript submissions: 30 October 2025

Special Issue Editors


E-Mail Website
Guest Editor
College of Engineering, Nanjing Agricultural University, Nanjing 211800, China
Interests: seeding robots; autonomous driving; variable seeding; variable fertilization; deep learning; sensor fusion; planting depth regulation
Special Issues, Collections and Topics in MDPI journals
College of Engineering, Nanjing Agricultural University, Nanjing 211800, China
Interests: unmanned farms; seeding robots; variable seeding; variable fertilization; path planning; algorithm optimization; harvesting robots

E-Mail Website
Guest Editor
College of Engineering, Nanjing Agricultural University, Nanjing 211800, China
Interests: electric agricultural machinery; mowing robots; multi-spectral imaging; variable fertilization; algorithm optimization; facility agriculture

Special Issue Information

Dear Colleagues,

Intelligent agricultural machinery represents the integration of agricultural modernization and information technology, emerging in response to global challenges such as population growth and resource and labor shortages. Since the beginning of the 21st century, breakthroughs in satellite navigation, the Internet of Things, and artificial intelligence have ushered the agricultural machinery used in grain and oil crop cultivation into a new era of intelligence. Following the rise of precision agriculture after the year 2000, machinery began integrating GPS positioning and variable control technology. After 2010, applications such as autonomous driving, UAV-based crop protection, and intelligent harvesting robots were increasingly applied. These technologies utilize sensors to analyze soil, grain, and oil crop data in real time, enabling a closed-loop system of decision-making and execution. Currently, intelligent agricultural machinery is advancing the digitalization, automation, and sustainability of agricultural production, serving as a vital pillar in ensuring global food and oil security.

This Special Issue focuses on the application of automation and information technology in grain and oil crop agricultural machinery. With this goal in mind, it welcomes highly interdisciplinary high-quality studies from disparate research fields including precision agriculture technology, unmanned farms, agricultural robots, autonomous operation platforms, automatic navigation, operation path planning, perception and recognition technology, the research and development of UAVs, and intelligent sensing systems. Original research articles and reviews are accepted.

Dr. Xiaojun Gao
Dr. Lei Wang
Dr. Yinyan Shi
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • precision agriculture
  • grain and oil crop
  • unmanned farms
  • agricultural robot
  • automatic navigation
  • path planning
  • perception and recognition
  • variables operation
  • algorithm optimization

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This special issue is now open for submission.
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