Artificial Intelligence-Based Detection and Prediction of Giant African Snail (Lissachatina Fulica) Infestation in the Galápagos Islands

Jonathan Loor, Ariana Jiménez, Juan Aguirre, Grace Rodríguez, Iván Reyes, Paulina Vizcaino-Imacaña, Manuel Morocho-Cayamcela, Manuel Morocho-Cayamcela

2024

Abstract

The Galápagos Archipelago are confronting a significant threat from invasive species, notably L. fulica, which disrupts the delicate balance of their natural ecosystem. An innovative solution is proposed, employing mobile application technology and artificial intelligence (AI) to streamline the collection, analysis, and prediction of L. fulica movements. The mobile application facilitates efficient recording of L. fulica sightings by field teams, including Global Positioning System (GPS) coordinates, type, condition, and quantity. Data collected is transmitted to a cloud-based server for storage and analysis, where machine learning algorithms process time-series data to generate predictive models of L. fulica movement patterns. Results underscore the effectiveness of AI in enhancing the efficiency and accuracy of Giant African Snail (GAS) detection and movement estimation, facilitating informed decision-making by administrators and managers. By safeguarding the native flora and fauna of the archipelago, this solution represents a significant stride towards mitigating the impact of invasive species and preserving the unique biodiversity of the Galapagos Islands.

Paper Citation

in Harvard Style

Loor J., Jiménez A., Aguirre J., Rodríguez G., Reyes I., Vizcaino-Imacaña P. and Morocho-Cayamcela M. (2024). Artificial Intelligence-Based Detection and Prediction of Giant African Snail (Lissachatina Fulica) Infestation in the Galápagos Islands. In Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT; ISBN 978-989-758-706-1, SciTePress, pages 403-410. DOI: 10.5220/0012763200003753

in Bibtex Style

@conference{icsoft24,
author={Jonathan Loor and Ariana Jiménez and Juan Aguirre and Grace Rodríguez and Iván Reyes and Paulina Vizcaino-Imacaña and Manuel Morocho-Cayamcela},
title={Artificial Intelligence-Based Detection and Prediction of Giant African Snail (Lissachatina Fulica) Infestation in the Galápagos Islands},
booktitle={Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT},
year={2024},
pages={403-410},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012763200003753},
isbn={978-989-758-706-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT
TI - Artificial Intelligence-Based Detection and Prediction of Giant African Snail (Lissachatina Fulica) Infestation in the Galápagos Islands
SN - 978-989-758-706-1
AU - Loor J.
AU - Jiménez A.
AU - Aguirre J.
AU - Rodríguez G.
AU - Reyes I.
AU - Vizcaino-Imacaña P.
AU - Morocho-Cayamcela M.
PY - 2024
SP - 403
EP - 410
DO - 10.5220/0012763200003753
PB - SciTePress