Anyang Institute of Technology, School of Mechanical Engineering, Anyang, Henan, China.
Razak Faculty of Technology And Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia.
PLoS One. 2024 Oct 29;19(10):e0311297. doi: 10.1371/journal.pone.0311297. eCollection 2024.
Greenhouse cultivation promotes an efficient and environmentally friendly agricultural production model, significantly enhancing resource sustainability and advancing sustainable agriculture. Traditional greenhouse pollination methods are inefficient and labor-intensive, limiting the economic benefits of greenhouse pear cultivation. To improve pollination efficiency and achieve fully automated mechanized operations, an innovative design method for greenhouse pear pollination drones has been developed. First, design criteria were extracted using Grounded Theory (GT), and the Analytic Hierarchy Process (AHP) was employed to determine the weight of user demand evaluation indicators. Next, the Quality Function Deployment (QFD) method translated user needs into technical requirements, resulting in the final ranking of design element weights. The drone was then designed based on these weighted rankings, yielding an optimal solution. This method quantifies the functional requirements of the product, effectively identifying key needs for the greenhouse pear pollination drones and proposing targeted solutions. Additionally, it provides a design reference for other highly functional agricultural machinery products.
温室种植促进了高效、环保的农业生产模式，显著提高了资源的可持续性，推动了可持续农业的发展。传统的温室授粉方法效率低下且劳动强度大，限制了温室梨树种植的经济效益。为了提高授粉效率并实现完全自动化的机械化操作，开发了一种温室梨树授粉无人机的创新设计方法。首先，使用扎根理论（GT）提取设计标准，并用层次分析法（AHP）确定用户需求评价指标的权重。然后，质量功能展开（QFD）方法将用户需求转化为技术要求，最终得出设计要素权重的排名。根据这些加权排名设计了无人机，得出了最佳解决方案。该方法量化了产品的功能要求，有效确定了温室梨树授粉无人机的关键需求，并提出了有针对性的解决方案。此外，它为其他高性能农业机械产品提供了设计参考。
