V WMSSE

Abstracts

Abstract information

English title:	Characterization of biotic and agroclimatic variables for the modeling of phytosanitary conditions and measures in agricultural crops
Spanish title:	Caracterizaci�n de variables bi�ticas y agroclim�ticas para el modelamiento de estados y medidas fitosanitarias en cultivos agr�colas
English abstract:	Digital transformation is increasingly present in the agricultural sector thanks to the development and availability of information technologies. However, the agricultural sector is one of the least digitized worldwide, including in countries with highly competitive and technologically advanced agricultural chains and processes. With the support of enabling technologies of the fourth industrial revolution (internet of things, artificial intelligence, cloud computing) it is possible to improve the management of phytosanitary conditions and measures in agricultural crops, obtaining productive systems more resilient to the negative impacts derived from pests, diseases, and climatic variations. This work presents the spatio-temporal characterization of variables associated with biotic factors (pests, diseases) and climatic factors (rainfall, temperature, relative humidity, others) that influence the incidence of phytosanitary and agroclimatic events in agricultural crops. Based on the characterization, it is proposed to use these variables in analytical models that support risk management in agricultural crops through the prediction of phytosanitary conditions, allowing a more precise management of the crop and reducing the negative effects on its productivity.
Spanish abstract:	La transformaci�n digital se encuentra cada vez m�s presente en el sector agr�cola gracias al desarrollo y la disponibilidad de las tecnolog�as de la informaci�n. No obstante, el sector agr�cola es uno de los menos digitalizados a nivel mundial, incluso en pa�ses con cadenas y procesos agr�colas altamente competitivos y tecnificados. Con el apoyo de tecnolog�as habilitadoras de la cuarta revoluci�n industrial (internet de las cosas, inteligencia artificial, computaci�n en la nube) es posible mejorar la gesti�n de estados y medidas fitosanitarias en los cultivos agr�colas, obteniendo sistemas productivos m�s resilientes a los impactos negativos derivados de plagas, enfermedades y variaciones clim�ticas. En este trabajo se presenta la caracterizaci�n espacio-temporal de variables asociadas a factores bi�ticos (plagas, enfermedades) y clim�ticos (precipitaciones, temperatura, humedad relativa, otros) que influyen en la incidencia de eventos fitosanitarios y agroclim�ticos en cultivos agr�colas. A partir de la caracterizaci�n, se propone el uso de estas variables en modelos anal�ticos que ayuden a la gesti�n de riesgos en cultivos agr�colas a trav�s de la predicci�n de estados fitosanitarios, permitiendo un manejo m�s preciso del cultivo y reduciendo los efectos negativos sobre su productividad.
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Authors

Name	Institution	Email
Marta Silvia Tabares	Universidad EAFIT	mtabares@eafit.edu.co
Maria Isabel Hern�ndez P�rez	Universidad EAFIT	mihernandp@eafit.edu.co
Eduart Villanueva	Universidad EAFIT	evillanu@eafit.edu.co
Alejandro Pe�a Palacio	Universidad EAFIT	japena@eafit.edu.co
Mauricio Toro	Universidad EAFIT	mtorobe@eafit.edu.co
Alejandro Marulanda	Universidad EAFIT	amarula2@eafit.edu.co
Tomas Ramirez Guerrero	Universidad EAFIT	teramirezg@eafit.edu.co

Presentation

Room:	Principal Room
Date:	25 July 2022
Hour:	11:30 - 11:50

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V WMSSE
V Workshop on Modeling and Simulation for Science and Engineering

Previous editions:
I WMSSE
II WMSSE
III WMSSE
IV WMSSE

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