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

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

Аннотация

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.

Язык оригиналаАнглийский
Название основной публикацииProceedings of the International Conference on Artificial Intelligence and Computer Visio, AICV 2020
РедакторыAboul-Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Diego Oliva, Fahmy M. Tolba
ИздательSpringer Paris
Страницы381-392
Число страниц12
ISBN (печатное издание)9783030442880
DOI
СостояниеОпубликовано - 2020
Опубликовано для внешнего пользованияДа
Событие1st International Conference on Artificial Intelligence and Computer Visions, AICV 2020 - Cairo, Египет
Продолжительность: 8 апр 202010 апр 2020

Серия публикаций

НазваниеAdvances in Intelligent Systems and Computing
Том1153 AISC
ISSN (печатное издание)2194-5357
ISSN (электронное издание)2194-5365

Конференция

Конференция1st International Conference on Artificial Intelligence and Computer Visions, AICV 2020
СтранаЕгипет
ГородCairo
Период8.4.2010.4.20

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Цитировать

    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. В A-E. Hassanien, A. T. Azar, T. Gaber, D. Oliva, & F. M. Tolba (Ред.), Proceedings of the International Conference on Artificial Intelligence and Computer Visio, AICV 2020 (стр. 381-392). (Advances in Intelligent Systems and Computing; Том 1153 AISC). Springer Paris. https://doi.org/10.1007/978-3-030-44289-7_36