Agricultural Mechanization and Intelligent Equipment
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Agricultural Science and Technology".
Deadline for manuscript submissions: 30 May 2026 | Viewed by 10
Special Issue Editor
Interests: functionalized nanomaterials; novel gas sensors and their applications in intelligent agriculture; agricultural sensors
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Agricultural machanization and intelligent equipment play revolutionary roles in modern agriculture, with their significance evident across core domains including production efficiency, resource optimization, sustainable development, and food security. In agricultural production, these technologies achieve the automated application of water, fertilizers, seeds, and pesticides, with machinery replacing human labor. This enables labor substitution and skill enhancement, effectively resulting in improvements in terms of production efficiency and economic returns. The rapid advancement of AI technologies has further empowered robotics-driven smart equipment to execute precision farming operations such as automated weeding, precision pruning, intelligent harvesting, grading and sorting, and so forth. Notably, in hilly and mountainous regions, agricultural machanization and intelligent equipment serve as vital productive forces, overcoming terrain limitations. Beyond productivity tools, they represent the core engine of agricultural modernization, accelerating the transition toward intelligent production systems across all farming landscapes.
Herein, we aim to multifacetedly present the latest research advances and innovative solutions in agricultural machinery and smart equipment, covering data acquisition, analysis, decision-making and field operations technical various dimensions including the pre-production, in-production, and post-production phases. We further aspire to integrate cutting-edge technologies into agricultural settings, including advanced mechanical manufacturing systems and next-generation AI-driven methodologies.
Dr. Xian Li
Guest Editor
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Keywords
- agricultural intelligent sensors
- agricultural intelligent monitoring equipment
- agricultural intelligent operation equipment
- agricultural intelligent managing and controlling equipment
- agricultural edge intelligent devices
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