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Part 1: Document Description
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Citation |
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Title: |
Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models |
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Identification Number: |
doi:10.7910/DVN/JBAEFB |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2023-02-17 |
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Version: |
1 |
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Bibliographic Citation: |
Wang, Richard, 2023, "Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models", https://doi.org/10.7910/DVN/JBAEFB, Harvard Dataverse, V1 |
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Citation |
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Title: |
Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models |
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Identification Number: |
doi:10.7910/DVN/JBAEFB |
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Authoring Entity: |
Wang, Richard |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Wang, Richard |
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Depositor: |
Wang, Richard |
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Date of Deposit: |
2023-02-17 |
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Holdings Information: |
https://doi.org/10.7910/DVN/JBAEFB |
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Study Scope |
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Keywords: |
Agricultural Sciences, Computer and Information Science |
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Abstract: |
@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} } |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Label: |
aphid2022.z01 |
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Notes: |
application/octet-stream |
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Label: |
aphid2022.z02 |
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application/octet-stream |
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aphid2022.zip |
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Notes: |
application/zip |