Browsing by Author "Borja Cristian, Darwin"

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    Automatic prediction of growth and yield of legume plants using artificial intelligence models in a smart mobile application.
    (Ecuador: La Maná: Universidad Técnica de Cotopaxi; Extensión La Maná, Carrera de Sistemas de Información, 2025-10-06) Soledispa Vera, Henry Stalyn; Navarrete Cedeño, Angel Julian; Borja Cristian, Darwin; Luna Murillo, Ricardo Augusto
    This article presents the design, training, and validation of a smart mobile application for the automated prediction of growth and yield in legume plants, using supervised learning algorithms. Random forest and decision tree models were employed, trained on a multivariable dataset with 319 records and 67 quantitative and qualitative variables collected through IoT sensors and meteorological APIs. The decision tree model achieved a coefficient of determination of 0.76 for plant height and 0.87 for forage weight, surpassing the random forest model in accuracy, with R² values of 0.80 and 0.72, respectively. The application, developed in React Native and linked to a Django backend, allows the user to select the algorithm they wish to work with. Furthermore, the functional validation, carried out with 350 beneficiaries including farmers and students, showed a high level of acceptance: 91% positively rated the usability of the application, and 84% expressed intent for recurrent use. This proposal represents a significant contribution to the digital agriculture ecosystem, providing an accessible, accurate, and adaptable tool with potential for scalability and community adoption.