ArticlePloS one2024
Evaluation method and design of greenhouse pear pollination drones based on grounded theory and integrated theory.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Design of a user-centered intelligent shoe cabinet for smart home hygiene using Kano-AHP-TRIZ.Scientific reports · 2026Article
- Design and evaluation of a home based upper limb rehabilitation training device for stroke patients.Scientific reports · 2026Article
- AI-driven biomimetic design: sustainable bio-materials for eco-friendly aesthetic solutions.Frontiers in bioengineering and biotechnology · 2026Article
- Using entropy weight method and quality function deployment to develop emotion-driven dashboard interfaces for NEV.Scientific reports · 2025Article
- A system design method for virtual ceramic creation oriented to authenticity representation: integration of Kano, QFD, and FAST approaches.Scientific reports · 2025Article
- Optimization strategies for elderly hearing aid user satisfaction based on the Kano QFD integrated model and FAD theory.Scientific reports · 2025Article
- Study on the application and evaluation method of Zen aesthetic style in furniture design under the background of sustainability.Scientific reports · 2025Article
- Design of walking aids for the elderly based on the Kano-AHP-FEC method.Scientific reports · 2025Article
- Application and evaluation of traditional garden culture in modern urban landscape design under the context of cultural sustainability.PloS one · 2025Article
- Scenario-based functional modularization framework for consumer electronics using MFD and AHP: A case study on audio products.PloS one · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.