Interaction Design of Artificial Intelligence Plant Protection Assistant APPs Based on KANO-AHP

WANG Qiran; CHENXIAO Yulong

doi:10.19554/j.cnki.1001-3563.2026.10.016

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (10) : 181-193. DOI: 10.19554/j.cnki.1001-3563.2026.10.016

Industrial Design

Interaction Design of Artificial Intelligence Plant Protection Assistant APPs Based on KANO-AHP

WANG Qiran^a,b, CHENXIAO Yulong^c,*

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Abstract

Based on the KANO-AHP model, the work aims to analyze user experience needs and propose optimization strategies oriented to need attributes and priorities to construct an interactive design model for an intelligent plant protection assistant that better meets the needs of agricultural users, thus improving its usability and satisfaction. Through extensive market research, online questionnaires, and user interviews, key experience needs were collected during the use of AI plant protection applications. Based on the KANO model, user needs were classified into three core categories: basic, expected, and excited. On the basis of the KANO analysis results, an AHP hierarchical analysis model was constructed. Experts were invited to conduct scoring and complete the consistency test, so as to calculate the weight values and comprehensive ranking of each requirement, and further propose an optimization scheme for the need hierarchy. Fifteen core multi-dimensional user experience needs for the AI plant protection assistant were summarized, a satisfaction-oriented function optimization model was constructed, and design practice was carried out based on the model. The integration of the KANO-AHP methods enables systematic identification and quantification of user needs, and proposes operable design optimization paths, providing theoretical support and design references for the interaction optimization of agricultural digital tools.

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KANO / AHP / APP interaction design / smart agriculture

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WANG Qiran, CHENXIAO Yulong. Interaction Design of Artificial Intelligence Plant Protection Assistant APPs Based on KANO-AHP[J]. Packaging Engineering. 2026, 47(10): 181-193 https://doi.org/10.19554/j.cnki.1001-3563.2026.10.016

References

[1] 杨骞云, 沈艳. 基于改进YOLO v8s模型的玉米病虫害图像识别[J]. 江苏农业科学, 2025, 53(5): 231-243.
YANG Q Y, SHEN Y. Recognition of maize pests and diseases images based on improved YOLO v8s model, 2025, 53(5): 231-243.
[2] IFTIKHAR M, KANDHRO I A, KAUSAR N, et al.Plant disease management: a fine-tuned enhanced CNN approach with mobile app integration for early detection and classification[J]. Artificial Intelligence Review, 2024, 57(7): 167.
[3] TEMBHURNE J V, GAJBHIYE S M, GANNARPWAR V R, et al.Plant disease detection using deep learning based mobile application[J]. Multimedia Tools and Applications, 2023, 82(18): 27365-27390.
[4] 陶治, 孔建磊, 金学波, 等. 基于深度学习的农作物病虫害图像识别APP系统设计[J]. 计算机应用与软件, 2022, 39(3): 341-345.
TAO Z, KONG J L, JIN X B, et al.Design of Image Recognition App System for Crop Diseases and Insect Pests Based on Deep Learning[J]. Computer Applications and Software, 2022, 39(3): 341-345.
[5] 谢成军, 刘振东, 张炜, 等. 基于植保大数据的病虫害移动智能识别系统——随识[J]. 植物医生, 2020, 33(2): 53-59.
XIE C J, LIU Z D, ZHANG W, et al.Sensee: A Mobile Intelligent Pest and Disease Recognition System Based on Agricultural Plant Protection Big Data[J]. Plant Doctor, 2020, 33(2): 53-59.
[6] 马文龙, 杨秭乾, 马玥, 等. “植保家”——手机拍照识病虫App[C]. 湖北: 病虫防护与生物安全——中国植物保护学会2021年学术年会论文集, 2021.
MA W L, YANG Z Q, MA Y, et al."Zhibaojia"—A mobile App for identifying diseases and pests by taking photos[C]. Hubei, China: Proceedings of the 2021 Annual Conference of the Chinese Society of Plant Protection on Pest Control and Biosafety, 2021.
[7] 何睦, 王翔. 农业数字化转型发展:重要性、障碍及实施路径[J]. 贵州社会科学, 2023(9): 161-168.
HE M, WANG X.Agricultural digital transformation development: Importance, obstacles, and implementation pathways[J]. Guizhou Social Sciences, 2023(9): 161-168.
[8] SIDDIQUA A, KABIR M A, FERDOUS T, et al.Evaluating plant disease detection mobile applications: quality and limitations[J]. Agronomy, 2022, 12(8): 1869.
[9] 刘银. AGIL模型视角下“三农”数字出版的现实梗阻与方法解构——基于对“农技耘”App的分析[J]. 出版发行研究, 2025(7): 55-61.
LIU Y.Real obstacles and methodological decomposition of digital publishing in "agriculture, rural areas and farmers" from the perspective of AGIL model——based on the analysis of "Nongjiyun" App[J]. Publishing Research, 2025(7): 55-61.
[10] KANO. Attractive quality and must-be quality[J]. Journal of the Japanese Society for Quality Control, 1984, 14(2): 147-156.
[11] 邹天舒, 许员硕, 乔莉. 基于AHP层次分析法的老旧社区多代际共享空间更新策略研究——以济南市王官庄小区为例[J]. 建筑与文化, 2023(12): 162-165.
ZOU T S, XU Y S, QIAO L.Research on the Renewal Strategy of Multi-generation Shared Space in Old Community based on AHP:A Case Study of Wangguanzhuang Community in Jinan[J]. Architecture and Culture, 2023(12): 162-165.
[12] 罗威, 唐昌乔. 基于KANO-AHP的健康助手APP适老化设计研究[J]. 工业设计, 2025(4): 103-107.
LUO W, TANG C Q.Research on the Aging-Friendly Design of the KANO-AHP-Based Health Assistant APP[J]. Industrial Design, 2025(4): 103-107.
[13] 李润莹, 马广韬, 吕明. 基于KANO-AHP的社区养老服务App功能设计研究[J]. 工业设计, 2025(4): 126-129.
LI R Y, MA G T, LYU M.Research on the Functional Design of the KANO-AHP-Based Community-Based Old-Age Care Service App[J]. Industrial Design, 2025(4): 126-129.
[14] 王佳, 李嘉节. 基于KANO-AHP的沉浸式购物APP心流体验交互设计[J]. 包装工程, 2024, 45(22): 153-164.
WANG J, LI J J.Design of Flow Experience Interaction for Immersive Shopping APPs Based on KANO-AHP[J]. Packaging Engineering, 2024, 45(22): 153-164.
[15] 张笑鸣, 王强, 李可, 等. 需求导向下互联网医疗App的适老化设计策略研究[J]. 印刷与数字媒体技术研究, 2024(4): 158-166.
ZHANG X M, WANG Q, LI K, et al.Study on Elderly-Oriented Design Strategies for Internet Medical Service Apps Guided by User Needs[J]. Printing and Digital Media Technology Research, 2024(4): 158-166.
[16] 赵静, 樊宁馨, 杨梦翔. 面向用户需求的国家文献信息资源保障平台服务优化研究[J]. 国家图书馆学刊, 2025, 34(5): 58-71.
ZHAO J, FAN N X, YANG M X.Research on Service Optimization of National Literature Information Research on Service Optimization of National Literature Information[J]. Journal of the National Library of China, 2025, 34(5): 58-71.
[17] 周志勇, 袁延通, 戚建明. 基于AHP-模糊综合评价法的失眠治疗仪设计研究[J]. 制造业自动化, 2023, 45(7): 11-14.
ZHOU Z Y, YUAN Y T, QI J M.Research on fuzzy analytic hierarchy process in modeling design of insomnia therapeutic instrument[J]. Manufacturing Automation, 2023, 45(7): 11-14.
[18] 谭雨婕, 杨昕妍, 张仲凤, 等. 基于AHP-TOPSIS法的儿童卧房家具设计研究[J]. 林产工业, 2023, 60(4): 69-74.
TAN Y J, YANG X Y, ZHANG Z F, et al.Research on the Design of Children's Bedroom Furniture Based on AHP-TOPSIS Method[J]. Forest Products Industry, 2023, 60(4): 69-74.