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Precise Agriculture: Effective Deep Learning Strategies to Detect Pest Insects

Luca Butera Alberto Ferrante Mauro Jermini Mauro Prevostini Cesare Alippi

自动化学报(英文版)2022,Vol.9Issue(2):246-258,13.
自动化学报(英文版)2022,Vol.9Issue(2):246-258,13.

Precise Agriculture: Effective Deep Learning Strategies to Detect Pest Insects

Precise Agriculture: Effective Deep Learning Strategies to Detect Pest Insects

Luca Butera 1Alberto Ferrante 1Mauro Jermini 2Mauro Prevostini 1Cesare Alippi1

作者信息

  • 1. Universitàdella Svizzera italiana,Faculty of Informatics,Lugano 6900,Switzerland
  • 2. Agroscope,Research Centre Cadenazzo,Cadenazzo 6594,Switzerland
  • 折叠

摘要

关键词

Computer vision/machine learning/neural network/pest insect/pest monitoring/Popillia japonica/precise agriculture

Key words

Computer vision/machine learning/neural network/pest insect/pest monitoring/Popillia japonica/precise agriculture

引用本文复制引用

Luca Butera,Alberto Ferrante,Mauro Jermini,Mauro Prevostini,Cesare Alippi..Precise Agriculture: Effective Deep Learning Strategies to Detect Pest Insects[J].自动化学报(英文版),2022,9(2):246-258,13.

基金项目

This work was partly supported and funded by the Hasler Foundation under the Project"ARPI:Automated Recognition of Pest Insect Images"(20028).The paper reflects only the view of the authors.The authors would like to thank Brian Pulfer for his contribution in collecting and annotating part of the pictures of insects in our dataset. (20028)

自动化学报(英文版)

OACSCDCSTPCDEI

2329-9266

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