Automatic prediction of growth and yield of legume plants using artificial intelligence models in a smart mobile application.
| dc.contributor.advisor | Borja Cristian, Darwin | |
| dc.contributor.advisor | Luna Murillo, Ricardo Augusto | |
| dc.contributor.author | Soledispa Vera, Henry Stalyn | |
| dc.contributor.author | Navarrete Cedeño, Angel Julian | |
| dc.date.accessioned | 2025-10-06T14:51:06Z | |
| dc.date.available | 2025-10-06T14:51:06Z | |
| dc.date.issued | 2025-10-06 | |
| dc.description.abstract | 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. | |
| dc.format.extent | 52–76 | |
| dc.identifier.citation | Soledispa Vera, H. S., Navarrete Cedeño, A. J., Borja, C. D., & Luna Murillo, R. A. (2025). Automatic prediction of growth and yield of legume plants using artificial intelligence models in a smart mobile application. Revista Ingenio Global, 4(2), 52–76. https://doi.org/10.62943/rig.v4n2.2025.320 | |
| dc.identifier.issn | UTC-XLM-SIS-2025-004-ART | |
| dc.identifier.uri | https://editorialinnova.com/index.php/rig/article/view/320 | |
| dc.identifier.uri | https://repositorio.utc.edu.ec/handle/123456789/15038 | |
| dc.language.iso | en | |
| dc.publisher | Ecuador: La Maná: Universidad Técnica de Cotopaxi; Extensión La Maná, Carrera de Sistemas de Información | |
| dc.subject | MACHINE LEARNING | |
| dc.subject | SUPERVISED MODELS | |
| dc.subject | SMART AGRICULTURE | |
| dc.subject | DATASET | |
| dc.title | Automatic prediction of growth and yield of legume plants using artificial intelligence models in a smart mobile application. | |
| dc.type | Article |