2022
DOI: 10.1007/s10661-022-10317-z
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Automated detection and quantification of Enchytraeus crypticus (Oligochaeta: Enchytraeidae) in tropical artificial soil using image analysis

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Cited by 2 publications
(1 citation statement)
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“…Therefore, the coarse classification used in our study still provides valuable insights for assessing the hourly dynamics of ground-dwelling invertebrates in field biodiversity monitoring. Furthermore, with the rapid advancement of AI technologies and their application in invertebrate identification [83], such as the SqueezeNet transfer learning model for the tiger beetle [84] and faster region-based convolutional networks for Collembola [85], and their application in invertebrate identification offer solutions to these challenges when integrated with morphological classification methods. Additionally, considering the trophic relationships among collected taxa and defining their roles in soil processes are essential to understand the hourly dynamics of ground-dwelling invertebrate communities in farmland.…”
Section: Hourly Dynamics Of Abundance In Each Taxonmentioning
confidence: 99%
“…Therefore, the coarse classification used in our study still provides valuable insights for assessing the hourly dynamics of ground-dwelling invertebrates in field biodiversity monitoring. Furthermore, with the rapid advancement of AI technologies and their application in invertebrate identification [83], such as the SqueezeNet transfer learning model for the tiger beetle [84] and faster region-based convolutional networks for Collembola [85], and their application in invertebrate identification offer solutions to these challenges when integrated with morphological classification methods. Additionally, considering the trophic relationships among collected taxa and defining their roles in soil processes are essential to understand the hourly dynamics of ground-dwelling invertebrate communities in farmland.…”
Section: Hourly Dynamics Of Abundance In Each Taxonmentioning
confidence: 99%