Authors

Abstract

The processes of sowing and fertiliser application represent a significant aspect of agricultural production. In order to achieve efficient and precise seeding and fertiliser application, mass flow detection of seed and fertiliser particles can facilitate real-time monitoring and precise decision-making for intelligent seeding and fertiliser application. However, the diversity of seed and fertiliser particle types and particle flow modes presents a challenge for existing detection methods, particularly in meeting the varying operational requirements, especially for particle mass flow detection in low-altitude and high-speed sowing operations of agricultural drones. In such cases, the overlap and flow rate will have a significant impact on the detection results due to the large displacement and the continuous high-throughput dense phase of the particle flow. This paper provides a summary of the existing seed and fertiliser particle mass flow detection techniques and their underlying working principles. It compares the direct detection based on mass with the indirect detection methods based on velocity and concentration, and analyses their respective advantages, disadvantages and applicability. It also explores the possibility of optimising the existing detection methods for the specific needs of agricultural UAVs and considers the potential introduction of cutting-edge science and technology in order to develop an efficient, accurate and convenient detection system to meet the growing market demand.

Abstract in Chinese

播种和施肥是农业生产中的重要环节。在实现高效和精准化播种和施肥作业中，种肥颗粒的质量流量检测能够为智能化播种和施肥提供实时监控和精准决策。然而由于种肥颗粒类型和颗粒流动方式的多样性，现有检测方法较难满足不同的作业需求，尤其是农用无人机低空高速播撒作业中的颗粒质量流量检测，由于排量较大，颗粒流为连续高通量密相，重叠度和流动速度会对检测结果产生较大影响。本文总结了现有的种肥颗粒质量流量检测技术及其工作原理，比较了基于质量的直接检测与基于速度和浓度的间接检测方法，分析了各自的优缺点及适用性。针对农用无人机的特定需求，探讨了优化现有检测方法的可能性，并展望了引入前沿科学技术以研发高效、精准、便捷的检测系统，以满足日益增长的市场需求。