Design and Optimization of Intelligent Planting Machinery

Dear Colleagues,

Intelligent planting machinery is the primary front-end equipment used in agricultural production, and mainly includes high-quality seedbed preparation machinery, high-speed precision seeding machinery, and seedling transplanting machinery. It is not only a key starting point of the agricultural production process but is also an important link for ensuring the efficiency and quality of crop production.

The purpose of this Special Issue is to provide and discuss new technologies that affect the quality of mechanized crop planting, aiming to improve the efficiency, reliability, and the crop yield per unit area. This Special Issue focuses on the design, optimization, and application of intelligent seeding and transplanting machinery for grain, oil, and horticultural crops, and invites high-quality interdisciplinary research covering basic theories and new optimization technologies, as well as the R&D of key components, detection and control systems, and integrated machinery.

Original research articles and reviews are welcome. Key topics of interest for publication include, but are not limited to, the following:

• Seedbed preparation;
• Application of bionics in soil-engaging components;
• High-speed precision seeding;
• Drilling equipment;
• Elimination of straw obstacles in no-till seeding;
• Seedling raising and transplanting in paddy fields;
• Seedling raising and transplanting in dryland;
• Precision fertilization;
• Quality detection of seeding and transplanting;
• Detection of operating environment for seeding and transplanting;
• Adaptive control of operating parameters for seeding and transplanting equipment;
• Variable-rate fertilization and seeding;
• Seeding and transplanting robots.

This Special Issue will provide a consolidated platform for emerging trends and foster cross-disciplinary dialogue, thereby supplementing existing literature with holistic solutions and setting new benchmarks for next-generation intelligent planting technologies.

Prof. Dr. Bing Qi
Dr. Minjuan Hu
Dr. Wei Yan
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 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.