Towards Crowd-Based Requirements Engineering for Digital Farming (CrowdRE4DF)

被引：0

作者：

Groen, Eduard C. ^{[1
,2
]}

Rahmant, Kazi Rezoanur ^{[3
]}

Narsinghanit, Nikita ^{[3
]}

Doerr, Joerg ^{[1
,3
]}

机构：

[1] Fraunhofer IESE, Kaiserslautern, Germany

[2] Univ Utrecht, Dept Informat & Comp Sci, Utrecht, Netherlands

[3] Univ Kaiserslautern Landau RPTU, Dept Comp Sci, Kaiserslautern, Germany

来源：

32ND IEEE INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE, RE 2024 | 2024年

关键词：

Crowd; crowd-based requirements engineering; digital farming; speech-to-text;

D O I：

10.1109/RE59067.2024.00054

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The farming domain has seen a tremendous shift towards digital solutions. However, capturing farmers' requirements regarding Digital Farming (DF) technology remains a difficult task due to domain-specific challenges. Farmers form a diverse and international crowd of practitioners who use a common pool of agricultural products and services, which means we can consider the possibility of applying Crowd-based Requirements Engineering (CrowdRE) for DF: CrowdRE4DF. We found that online user feedback in this domain is limited, necessitating a way of capturing user feedback from farmers in situ. Our solution, the Farmers' Voice application, uses speech-to-text, Machine Learning (ML), and Web 2.0 technology. A preliminary evaluation with five farmers showed good technology acceptance, and accurate transcription and ML analysis even in noisy farm settings. Our findings help to drive the development of DF technology through in-situ requirements elicitation.

引用

页码：457 / 465

页数：9