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Topic

Technologies and technical equipment for agriculture and food industry

Volume

Volume 75 / No. 1 / 2025

Pages : 366-375

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EVALUATION AND OPTIMIZATION OF AGRICULTURAL MANAGEMENT CLOUD PLATFORM BASED ON AHP/FCE

基于AHP/FCE的智慧农业管理云平台评价与优化

DOI : https://doi.org/10.35633/inmateh-75-31

Authors

Jiyuan SUN

College of Agricultural Engineering and Food Science, Shandong University of Technology/ China

(*) Bin QI

College of Agricultural Engineering and Food Science, Shandong University of Technology/ China

Xiaoming SUN

School of Fine Arts and Design, Shandong University of Technology, Zibo City, China.

Qiong Wu

Zibo Normal College/ China

Yuanqi LIU

College of Agricultural Engineering and Food Science, Shandong University of Technology/ China

Tengyun MA

College of Agricultural Engineering and Food Science, Shandong University of Technology/ China

Bohan ZHANG

College of Agricultural Engineering and Food Science, Shandong University of Technology/ China

Yuchao REN

College of Agricultural Engineering and Food Science, Shandong University of Technology/ China

(*) Corresponding authors:

sdutid@163.com |

Bin QI

Abstract

Abstract: UI design and user interaction optimization of smart agricultural management cloud platforms are key research directions for enhancing the overall value of the system. However, there is still room for improvement in terms of functionality and visibility of the platform interface. This study constructs a UI design evaluation model by combining the Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation (FCE), systematically evaluating and optimizing three UI design schemes of the platform. First, AHP was used to allocate weights to design factors, and then FCE was applied for comprehensive evaluation of each scheme, ultimately selecting the optimal one. Based on user heatmap data, the visual design of high-click areas was further optimized, improving the platform's score from 80.524 to 86.927. The study demonstrates that the combined AHP and FCE method has significant effects on UI design evaluation and optimization, providing scientific evidence and practical guidance for enhancing user experience in other smart agricultural management cloud platforms.

Abstract in Chinese

智慧农业管理云平台的UI设计与用户交互优化是提升系统整体价值的关键研究方向。然而,目前平台界面在功能性与可视性方面仍有改进空间。本研究通过结合层次分析法(AHP)与模糊综合评价法(FCE)构建了UI设计评价模型,对平台的三种UI设计方案进行了系统评估与优化。首先,采用AHP对设计因素进行权重分配,然后运用FCE对各方案进行综合评价,最终筛选出最优方案。基于用户热力图数据,进一步优化了高点击区域的视觉设计,使平台评分从80.524提升至86.927。研究表明,AHP与FCE结合的方法在UI设计评价与优化中具有显著效果,为其他智慧农业管理云平台的用户体验提升提供了科学依据和实践指导。

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