Intelligent Agricultural Seeding Equipment

Dear Colleagues,

Amid modern agriculture’s key challenges—such as labor shortages and the urgent need for optimized resource utilization—meeting the growing demands for efficient, precise, and sustainable sowing stands as a critical task. Traditional sowing methods often lack essential accuracy, uniform distribution, and adaptability to varied field conditions, which directly harm crop emergence rates, potential yields, and overall farm productivity. Thus, exploring intelligent technologies to innovate seeding equipment is vital for boosting sowing efficiency, cutting resource waste, and laying a solid foundation for high-quality crop production.​ Smart agricultural seeding devices integrate advanced tools like precision sensors, IoT connectivity, AI algorithms, and automated control systems. They adjust seeding depth and spacing in real time based on soil conditions and crop types to ensure uniform germination; minimize seed and fertilizer waste by matching input quantities to field needs, reducing both production costs and environmental impact; support data-driven farm management by collecting and analyzing sowing-related data (e.g., seeding rate, equipment performance) for informed decisions; and enhance operational efficiency by cutting down manual intervention.​

This Special Issue focuses on smart seeding aims to showcase its latest innovations, development progress, and role in precision agriculture. It involves interdisciplinary cooperation, combining agricultural science with mechanical engineering, computer science, etc., covering both field crop seeding and specialty crop seeding. All types of articles, such as original research, opinions, and reviews, are welcome.

Prof. Dr. Ying Zang
Guest Editor

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