Use of Deep Learning for Bird Detection to Reduction of Collateral Damage in Fruit Fields

Humberto Garcia, Alberto Ochoa-Zezzatti, Abraham Martínez-Retamoza, Gilberto Ochoa, Lina Aguilar, Diego Oliva, José Mejía

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Since the beginning of agriculture there have been all kinds of pests that have reduced crop production. Throughout this time, different methods of scarring have been used to control pests and increase crop yields. In the same way today, pest control has other goals compared to before, one of the main objectives is the integrity of the animal to be treated, this is intended to preserve the ecosystem balance and the protection of the environment in which it develops. Pest detection today has become one of the most important factors to consider in this maintenance area in agricultural and fruit fields. This document is mainly focused on the detection of flocks of birds that are considered as pests in apple orchards, in Cuauhtémoc Chihuahua, although, the same method can be applied for different production areas.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Artificial Intelligence and Computer Visio, AICV 2020
EditorsAboul-Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Diego Oliva, Fahmy M. Tolba
PublisherSpringer Paris
Pages381-392
Number of pages12
ISBN (Print)9783030442880
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event1st International Conference on Artificial Intelligence and Computer Visions, AICV 2020 - Cairo, Egypt
Duration: 8 Apr 202010 Apr 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1153 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference1st International Conference on Artificial Intelligence and Computer Visions, AICV 2020
CountryEgypt
CityCairo
Period8.4.2010.4.20

Keywords

  • Bird detection
  • CNN
  • Convolutional Neural Network
  • Flocks
  • Object detection

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Use of Deep Learning for Bird Detection to Reduction of Collateral Damage in Fruit Fields'. Together they form a unique fingerprint.

  • Cite this

    Garcia, H., Ochoa-Zezzatti, A., Martínez-Retamoza, A., Ochoa, G., Aguilar, L., Oliva, D., & Mejía, J. (2020). Use of Deep Learning for Bird Detection to Reduction of Collateral Damage in Fruit Fields. In A-E. Hassanien, A. T. Azar, T. Gaber, D. Oliva, & F. M. Tolba (Eds.), Proceedings of the International Conference on Artificial Intelligence and Computer Visio, AICV 2020 (pp. 381-392). (Advances in Intelligent Systems and Computing; Vol. 1153 AISC). Springer Paris. https://doi.org/10.1007/978-3-030-44289-7_36