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Development of a deep learning model from breeding substrate images: a novel method for estimating the abundance of house fly (Musca domestica L.) larvae.

Song-Quan OngHamdan AhmadAbdul Hafiz Ab Majid
Published in: Pest management science (2021)
Larval abundance can be monitored with computer vision and deep learning, and the monitoring can be improved by using more biochemistry parameters as the predictors and examples of field samples included building a more robust model. © 2021 Society of Chemical Industry.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • drosophila melanogaster
  • machine learning
  • antibiotic resistance genes
  • aedes aegypti
  • microbial community