PRECISION AGRICULTURE WITH VISION SYSTEMS
"This document presents a low-cost, open-source, robust, and user-friendly Unmanned Aerial System for precision agriculture tasks. The proposed methodology for data collection and image processing is flexible and adaptable to most basic systems. Besides, a new vegetation index is defined for te...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2023 |
| País: | México |
| Institución: | Centro de Investigaciones en Óptica |
| Repositorio: | Repositorio Institucional CIO |
| Idioma: | inglés |
| OAI Identifier: | oai:cio.repositorioinstitucional.mx:1002/1283 |
| Acceso en línea: | http://cio.repositorioinstitucional.mx/jspui/handle/1002/1283 |
| Access Level: | acceso abierto |
| Palabra clave: | info:eu-repo/classification/Autor/Nonlinear control info:eu-repo/classification/Autor/Precision Agriculture info:eu-repo/classification/Autor/Unmanned Aerial Vehicle info:eu-repo/classification/Autor/Vegetation index info:eu-repo/classification/cti/7 info:eu-repo/classification/cti/33 info:eu-repo/classification/cti/3399 info:eu-repo/classification/cti/339999 |
| Sumario: | "This document presents a low-cost, open-source, robust, and user-friendly Unmanned Aerial System for precision agriculture tasks. The proposed methodology for data collection and image processing is flexible and adaptable to most basic systems. Besides, a new vegetation index is defined for temperature estimation on vegetation without thermal imagery as usually done by other related systems. The system also features a control algorithm that is robust against external disturbances. The output information is used then to estimate the vegetation's temperature. The experiments presented in this work are enclosed to corn fields." |
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