Intelligent system for weeds management in pineapple crop with precision agriculture concepts
The aim of precision agriculture is to apply agricultural inputs in the right place, time and amount. The site-specific weed management is a precision agriculture strategy that allows reducing the herbicide application, minimizing inputs costs, with positive effects for the environment. The objectiv...
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| Format: | Online |
| Language: | spa |
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Universidad Pedagógica y Tecnológica de Colombia
2020
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| Online Access: | https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/10830 |
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| author | JIMÉNEZ LÓPEZ, ANDRÉS FERNANDO CAMARGO PICO, DIANA ANDREA García Ramírez, Dayra Yisel |
| author_facet | JIMÉNEZ LÓPEZ, ANDRÉS FERNANDO CAMARGO PICO, DIANA ANDREA García Ramírez, Dayra Yisel |
| author_sort | JIMÉNEZ LÓPEZ, ANDRÉS FERNANDO |
| collection | OJS |
| description | The aim of precision agriculture is to apply agricultural inputs in the right place, time and amount. The site-specific weed management is a precision agriculture strategy that allows reducing the herbicide application, minimizing inputs costs, with positive effects for the environment. The objective of this paper is to show the advances in the development of weed detection and herbicide application system for a pineapple crop, using precision agriculture concepts. The prototype uses an artificial vision system for acquisition of reflectance in plants in the visible spectrum and an embedded system that allows the image processing in real-time as a weed detection mechanism. The prototype has an automatic fumigation system, that emulates the selective herbicide application, which together is implemented above a terrestrial vehicle that travels into the pineapple crop rows. The weed detection algorithm for pineapple had an efficiency major than 80%, obtaining satisfactory outcomes and the fulfilment of the requirements for the weed detection and input application only in the places where it is necessary.
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| format | Online |
| id | oai:oai.revistas.uptc.edu.co:article-10830 |
| institution | Revista Ciencia y Agricultura |
| language | spa |
| publishDate | 2020 |
| publisher | Universidad Pedagógica y Tecnológica de Colombia |
| record_format | ojs |
| spelling | oai:oai.revistas.uptc.edu.co:article-108302021-07-13T04:46:05Z Intelligent system for weeds management in pineapple crop with precision agriculture concepts Sistema Inteligente para el manejo de Malezas en el cultivo de Piña con Conceptos de Agricultura de Precisión JIMÉNEZ LÓPEZ, ANDRÉS FERNANDO CAMARGO PICO, DIANA ANDREA García Ramírez, Dayra Yisel Agricultural crop detection system pineapple precision agriculture weed Agricultura de Precisión cultivo agrícola malezas sistema de detección piña The aim of precision agriculture is to apply agricultural inputs in the right place, time and amount. The site-specific weed management is a precision agriculture strategy that allows reducing the herbicide application, minimizing inputs costs, with positive effects for the environment. The objective of this paper is to show the advances in the development of weed detection and herbicide application system for a pineapple crop, using precision agriculture concepts. The prototype uses an artificial vision system for acquisition of reflectance in plants in the visible spectrum and an embedded system that allows the image processing in real-time as a weed detection mechanism. The prototype has an automatic fumigation system, that emulates the selective herbicide application, which together is implemented above a terrestrial vehicle that travels into the pineapple crop rows. The weed detection algorithm for pineapple had an efficiency major than 80%, obtaining satisfactory outcomes and the fulfilment of the requirements for the weed detection and input application only in the places where it is necessary. La agricultura de precisión busca la aplicación de insumos en cultivos agrícolas en el lugar, el momento y la cantidad adecuados. El manejo de malezas específico del sitio es una estrategia de agricultura de precisión que permite la reducción en la aplicación de herbicidas, minimizando costos de insumos, con efectos positivos para el medioambiente. El objetivo de este artículo es mostrar los avances en el desarrollo de un sistema inteligente para la detección de malezas y aplicación de herbicida en un cultivo de piña con conceptos de agricultura de precisión. El prototipo utiliza un sistema de visión artificial para la adquisición de la reflectancia en las plantas en el espectro del visible y un sistema embebido que permite el procesamiento de las imágenes en tiempo real como mecanismo de detección de maleza. El prototipo cuenta con un sistema de fumigación automático, el cual emula la aplicación del herbicida selectivo; lo que en conjunto es implementado sobre un vehículo terrestre que realiza su recorrido entre los surcos de un cultivo de piña. El algoritmo de detección de malezas para el cultivo de piña tuvo una eficiencia de más del 80 %, obteniendo así resultados satisfactorios y el cumplimiento de requerimiento para la detección y aplicación de insumo solo en los lugares en donde se necesita. Universidad Pedagógica y Tecnológica de Colombia 2020-09-14 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Texto application/pdf application/xml https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/10830 10.19053/01228420.v17.n3.2020.10830 Ciencia y Agricultura; Vol. 17 No. 3 (2020): Septiembre- Diciembre; 122-136 Ciencia y Agricultura; Vol. 17 Núm. 3 (2020): Septiembre- Diciembre; 122-136 2539-0899 spa https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/10830/9678 https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/10830/9831 Copyright (c) 2020 ANDRÉS FERNANDO JIMÉNEZ LÓPEZ, DIANA ANDREA CAMARGO PICO, Dayra Yisel García Ramírez |
| spellingShingle | Agricultural crop detection system pineapple precision agriculture weed Agricultura de Precisión cultivo agrícola malezas sistema de detección piña JIMÉNEZ LÓPEZ, ANDRÉS FERNANDO CAMARGO PICO, DIANA ANDREA García Ramírez, Dayra Yisel Intelligent system for weeds management in pineapple crop with precision agriculture concepts |
| title | Intelligent system for weeds management in pineapple crop with precision agriculture concepts |
| title_alt | Sistema Inteligente para el manejo de Malezas en el cultivo de Piña con Conceptos de Agricultura de Precisión |
| title_full | Intelligent system for weeds management in pineapple crop with precision agriculture concepts |
| title_fullStr | Intelligent system for weeds management in pineapple crop with precision agriculture concepts |
| title_full_unstemmed | Intelligent system for weeds management in pineapple crop with precision agriculture concepts |
| title_short | Intelligent system for weeds management in pineapple crop with precision agriculture concepts |
| title_sort | intelligent system for weeds management in pineapple crop with precision agriculture concepts |
| topic | Agricultural crop detection system pineapple precision agriculture weed Agricultura de Precisión cultivo agrícola malezas sistema de detección piña |
| topic_facet | Agricultural crop detection system pineapple precision agriculture weed Agricultura de Precisión cultivo agrícola malezas sistema de detección piña |
| url | https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/10830 |
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