Intelligent recommendation and visual detection system for crop management
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| Autores: | , , , , |
|---|---|
| Format: | artículo original |
| Status: | Versión publicada |
| Fecha de Publicación: | 2026 |
| Beskrivelse: | This work presents the development of an intelligent system that combines computer vision and a large language model (LLM) to assist in crop management. Its goal is to support farmers in making preventive and corrective decisions through the analysis of images and text. In the face of challenges such as climate change, pests, and resource scarcity, the tool aims to identify crops and diseases, providing accurate and accessible recommendations. The system seeks to reduce agricultural losses, improve productivity, and offer guidance in areas with limited access to experts. |
| País: | Portal de Revistas TEC |
| Institution: | Instituto Tecnológico de Costa Rica |
| Repositorio: | Portal de Revistas TEC |
| Sprog: | Español |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/8747 |
| Online adgang: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/8747 |
| Palabra clave: | Inteligencia artificial modelos de lenguaje de gran escala (LLM) visión artificial manejo de cultivos agricultura de precisión Artificial intelligence computer vision crop management Large Language Models (LLM) precision agriculture |