7th IMRMPT

First slide

First slide

Abstract

Abstract information

English title:	Innovation in global agriculture: a review of digital tools for application in Colombia
Spanish title:	Innovaci�n global en agricultura: una revisi�n de tecnolog�as digitales para su aplicaci�n en Colombia
English abstract:	Precision agriculture, aimed at optimizing resource use and maximizing yields, has generated great interest within the Colombian agricultural community. However, the agricultural sector remains relatively uncompetitive because its study and application are still in a very early stage. There is a need for greater understanding and dissemination of available technologies and their potential application within the country's agricultural context. This work provides an overview of the available technologies and their potential application in Colombian agriculture, particularly in the stages of data acquisition and processing to extract information; these are crucial aspects for improving decision-making focused on the productivity and sustainability of plantations. Tools such as unmanned aerial vehicles, agricultural machinery, meteorological sensors, and cameras for collecting data with a geospatial component are highlighted. The physical principles behind these technologies are crucial for understanding their functionality and applicability in the agricultural field. Various data processing techniques were also identified, such as machine learning algorithms for predicting and classifying elements of agricultural interest and geo-statistical modeling of physical variables of the atmosphere and soil. Additionally, a thematic review of existing works was conducted, and new lines of research were identified for future technological innovation in the agricultural sector.
Spanish abstract:	La agricultura de precisi�n, al buscar optimizar el uso de recursos y maximizar los rendimientos, ha generado un gran inter�s en la comunidad agr�cola colombiana. Sin embargo, el sector agropecuario a�n no es muy competitivo debido a que su estudio y aplicaci�n est�n en una etapa muy incipiente. Se necesita una mayor comprensi�n y difusi�n de las tecnolog�as disponibles y su potencial aplicaci�n en el contexto agr�cola del pa�s. Este trabajo proporcionar� un panorama sobre las tecnolog�as disponibles y su potencial aplicaci�n en la agricultura colombiana, particularmente en las etapas de adquisici�n de datos y su procesamiento para extraer informaci�n, aspectos cruciales para mejorar la toma de decisiones enfocadas a la productividad y la sostenibilidad de las plantaciones. Se destacan herramientas como veh�culos a�reos no tripulados, maquinaria agr�cola, sensores meteorol�gicos y c�maras para recopilar datos con un componente geo-espacial. Los principios f�sicos detr�s de estas tecnolog�as son cruciales para comprender su funcionamiento y aplicabilidad en el �mbito agr�cola. Tambi�n se hallaron diversas t�cnicas de procesamiento de datos, como algoritmos de machine learning para la predicci�n y clasificaci�n de elementos de inter�s agr�cola y el modelado geo-estad�stico de variables f�sicas de la atmosfera y del suelo. Adem�s, se gener� un reconocimiento tem�tico sobre los trabajos realizados y se encontraron nuevas l�neas de investigaci�n a para desarrollar a futuro en la innovaci�n tecnol�gica en el sector agropecuario.
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Authors

Name	Institution	Email
Cristian Ubaldo Tirado Murcia	Universidad EAFIT	cutiradom@eafit.edu.co

Presentation

Room:	Principal Room
Date:	August 9, 2024
Hour:	14:00 - 14:20

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VI WMSSE

VI Workshop on Modeling and Simulation for Science and Engineering

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I WMSSE
II WMSSE
III WMSSE
IV WMSSE
V WMSSE