PhytoVision: Sistema de medición de crecimiento In vitro de plántulas de Lactuca sativa L.
PhytoVision: Sistema de medición de crecimiento In vitro de plántulas de Lactuca sativa L.
Autores
Director
Jaramillo Villegas, Jose Alfredo
Autor corporativo
Recolector de datos
Otros/Desconocido
Director audiovisual
Editor/Compilador
Editores
Universidad Tecnológica de Pereira
Tipo de Material
Fecha
2022
Palabras claves
Actividad alelopática
Aprendizaje Profundo
Visión por computador
Cita bibliográfica
Título de serie/ reporte/ volumen/ colección
Es Parte de
Resumen
Los bioensayos con plantas son experimentos que se realizan, en un ambiente controlado, a semillas de plantas para detectar los efectos que tienen las diferentes sustancias en su proceso de germinación y crecimiento; esto se determina mediante los datos obtenidos por observación sobre los cambios presentados en las plántulas días posteriores al aplicar la sustancia, uno de esos datos es la longitud del tallo y la raíz. Para conseguir el dato de la longitud del tallo y raíz de una plántula con precisión con un instrumento de medición convencional requiere que ésta se encuentre ubicado a lo largo sin curvar (lo menos posible) lo cual implica manipularla corriendo el riesgo de dañarla o alterar la sustancia
aplicada antes de completar el experimento. La computación ha permitido el desarrollo de herramientas de software que apoyan partes de diferentes procedimientos tales como extraer el dato de longitud de tallo y raíz a partir de análisis a imágenes con características sujetas a variaciones de las condiciones del ambiente y particularidades de la plántula.
La herramienta de software es configurada para realizar análisis sobre datos de entrada y entregar un resultado al punto de tener criterios que pueden adaptarse a medida que existan nuevas variaciones posibles en ellos, similar a como se comportaría la mente humana gracias a los algoritmos de inteligencia artificial. La visión por computadora permite a las herramientas de software extraer datos a partir de imágenes y junto con la inteligencia artificial realiza la búsqueda de patrones o características clave de la imagen entrante, permitiendo abarcar diferentes posibles combinaciones definiendo únicamente la forma de analizar.
Bioassays with plants are experiments that are performed in a controlled environment on plant seeds to detect the effects that different substances have on their germination and growth process, this is determined through data obtained by observation on the changes presented in the seedlings days after applying the substance; one of these data is the length of the stem and root. To obtain the stem and root length of a seedling with good accuracy with a conventional measuring instrument requires that the seedling is straight, which implies manipulating it and running the risk of damaging the seedling or altering the substance applied before the experiment is completed. Computation has allowed the development of software tools that support parts of different procedures, as well as extracting stem and root length data from image analysis with characteristics subject to variations of enviroment and the special features of the plant. The software tool is configured to perform analysis on input data and deliver a result to the point of having criteria that can be adapted as new variations in the data become possible, similar the behaviour of the human mind would behave thanks to artificial intelligence algorithms. Computer vision allows software tools to extract data from images and together with artificial intelligence performs the search for patterns or key features of the incoming image, allowing to cover different possible combinations by defining only the way to analyze.
Bioassays with plants are experiments that are performed in a controlled environment on plant seeds to detect the effects that different substances have on their germination and growth process, this is determined through data obtained by observation on the changes presented in the seedlings days after applying the substance; one of these data is the length of the stem and root. To obtain the stem and root length of a seedling with good accuracy with a conventional measuring instrument requires that the seedling is straight, which implies manipulating it and running the risk of damaging the seedling or altering the substance applied before the experiment is completed. Computation has allowed the development of software tools that support parts of different procedures, as well as extracting stem and root length data from image analysis with characteristics subject to variations of enviroment and the special features of the plant. The software tool is configured to perform analysis on input data and deliver a result to the point of having criteria that can be adapted as new variations in the data become possible, similar the behaviour of the human mind would behave thanks to artificial intelligence algorithms. Computer vision allows software tools to extract data from images and together with artificial intelligence performs the search for patterns or key features of the incoming image, allowing to cover different possible combinations by defining only the way to analyze.