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This study aimed to develop a web application to optimize crop planning within the Autonomous Decentralized Rural Parochial Government of Santa Rosa, lev-eraging georeferencing technology. The methodology combined a deductive ap-proach to understanding the agricultural planning process with an analytical method to identify georeferencing techniques applicable to agricultural fields. The web application development followed the Extreme Programming (XP) method-ology. The study population comprised 120 members of the Jaime Roldós Asso-ciation, who participated in a survey based on the CSUQ and QUIS usability questionnaires. A subsequent descriptive analysis assessed the software’s usabil-ity level. The findings revealed that the web application achieved an excellent av-erage usability score of 90.70%, highlighting its high usability, effectiveness, and user appeal. It enhances user satisfaction and engagement, facilitates efficient crop planning, and empowers farmers to make informed decisions, ultimately contrib-uting to improved agricultural productivity and resource management.

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Agricultural Innovation: Enhancing Crop Optimization Through Georeferencing and Web-Based Application

  • 会议论文

  • 发表日期：

    2026年

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  • Diego Avila-Pesantez,
  • Andrea Sanchez-Zumba,
  • Jonathan Pullutasig-Chimborazo,
  • Estalin Morocho-Vera

摘要

This study aimed to develop a web application to optimize crop planning within the Autonomous Decentralized Rural Parochial Government of Santa Rosa, lev-eraging georeferencing technology. The methodology combined a deductive ap-proach to understanding the agricultural planning process with an analytical method to identify georeferencing techniques applicable to agricultural fields. The web application development followed the Extreme Programming (XP) method-ology. The study population comprised 120 members of the Jaime Roldós Asso-ciation, who participated in a survey based on the CSUQ and QUIS usability questionnaires. A subsequent descriptive analysis assessed the software’s usabil-ity level. The findings revealed that the web application achieved an excellent av-erage usability score of 90.70%, highlighting its high usability, effectiveness, and user appeal. It enhances user satisfaction and engagement, facilitates efficient crop planning, and empowers farmers to make informed decisions, ultimately contrib-uting to improved agricultural productivity and resource management.