Title
Mathematical modeling for prediction of banana rust thrips from atmospheric variables
Date Issued
01 January 2021
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
The following article presents a mathematical model to describe and predict the level of incidence of rust thrips on organic banana, with the aim of assisting growers in making decisions to reduce the effects of this pest on their crops. The model is based on the Campbell model (a model that depends only on temperature), but a modification is also proposed with the addition of variables such as relative humidity, wind speed and rainfall rate to describe the rate of insects' development. For the estimation of the parameters of the equations, random cross-validation of 100 sets, validated with real measurements of thrips, was used. Using the Campbell model, accuracies greater than 50% were obtained and with the addition of the variables the accuracy increased to 81%.
Language
English
OCDE Knowledge area
Agricultura Protección y nutrición de las plantas
Scopus EID
2-s2.0-85123356253
Resource of which it is part
Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021
ISBN of the container
978-166544445-3
Sponsor(s)
This research is funded by Proyecto CONCYTEC-Banco Mundial, through its executing unit Fondecyt, under contract 165-2018-FONDECYT-BM-IADT-AV – Project: “Transformación Digital del sector Agro-Industrial aplicado al Banano Orgánico”
Sources of information: Directorio de Producción Científica Scopus