<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models</dcterms:title><dcterms:identifier>https://doi.org/10.7910/DVN/JBAEFB</dcterms:identifier><dcterms:creator>Wang, Richard</dcterms:creator><dcterms:publisher>Harvard Dataverse</dcterms:publisher><dcterms:issued>2023-02-17</dcterms:issued><dcterms:modified>2023-02-17T16:22:37Z</dcterms:modified><dcterms:description>@inproceedings{zhang2023new,
  title={A New Dataset and Comparative Study for Aphid Cluster Detection},
  author={Zhang, Tianxiao and Li, Kaidong and Chen, Xiangyu and Zhong, Cuncong and Luo, Bo and Teran, Ivan Grijalva and McCornack, Brian and Flippo, Daniel and Sharda, Ajay and Wang, Guanghui},
  booktitle={2nd AAAI Workshop on AI for Agriculture and Food Systems},
  year={2023}
}</dcterms:description><dcterms:subject>Agricultural Sciences</dcterms:subject><dcterms:subject>Computer and Information Science</dcterms:subject><dcterms:date>2023-02-17</dcterms:date><dcterms:contributor>Wang, Richard</dcterms:contributor><dcterms:dateSubmitted>2023-02-17</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>