Descripción:
Technological solutions for smart agriculture are essential for enhancing decision-making, especially for small-scale farmers with limited technological proficiency. This study evaluates a data visualization system designed for smart agriculture, focusing on its usability, utility, and user experience. The evaluation involved diverse participants, including farmers and students from the Agronomy, Physics, and Computing disciplines, using standardized questionnaires like the System Usability Scale (SUS) and the User Experience Questionnaire (UEQ). The results indicate strong acceptance and interest in the system, with users appreciating its innovative elements, such as speedometer-style charts and colour-coded thresholds. These visualizations address the limitations of traditional agricultural tools by providing clearer decision-making guidance. This research offers practical insights into designing user-friendly data visualization tools for small-scale farmers. It underscores the importance of intuitive, user-centred visualizations in improving agricultural productivity and provides a foundation for future studies in precision agriculture. The findings highlight the potential of such systems to bridge the gap between complex data and actionable insights, particularly for users with varying levels of technological familiarity.
Tipo de publicación: Conference Paper
Publicado en: Advanced Research in Technologies, Information, Innovation and Sustainability
Autores- Brenes, Jose A.
- Quintana, María Isabel Murillo
- Castillo, José Daniel Sánchez
- López, Gustavo
- Marín-Raventós, Gabriela
Investigadores del CITIC asociados a la publicación
Mag. José Antonio Brenes Carranza
Bach. Maria Murillo Quintana
Lic. Jose Daniel Sánchez Castillo
Dr. Gustavo López Herrera
Dra. Gabriela Marín Raventós
Proyecto asociado a la publicación
Sistema de soporte de decisiones a la agricultura inteligente que incorpore aspectos de automatización de la fertirrigación y recomendaciones al agricultor
Technological solutions for smart agriculture are essential for enhancing decision-making, especially for small-scale farmers with limited technological proficiency. This study evaluates a data visualization system designed for smart agriculture, focusing on its usability, utility, and user experience. The evaluation involved diverse participants, including farmers and students from the Agronomy, Physics, and Computing disciplines, using standardized questionnaires like the System Usability Scale (SUS) and the User Experience Questionnaire (UEQ). The results indicate strong acceptance and interest in the system, with users appreciating its innovative elements, such as speedometer-style charts and colour-coded thresholds. These visualizations address the limitations of traditional agricultural tools by providing clearer decision-making guidance. This research offers practical insights into designing user-friendly data visualization tools for small-scale farmers. It underscores the importance of intuitive, user-centred visualizations in improving agricultural productivity and provides a foundation for future studies in precision agriculture. The findings highlight the potential of such systems to bridge the gap between complex data and actionable insights, particularly for users with varying levels of technological familiarity.