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Dataset of "Parts-per-Object Count in Agricultural Images: Solving Phenotyping Problems via a Single Deep Neural Network" paper

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NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/8083871
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资源简介:
This includes the relevant datasets to:  Khoroshevsky, F., Khoroshevsky, S., & Bar-Hillel, A. (2021). Parts-per-object count in agricultural images: Solving phenotyping problems via a single deep neural network. Remote Sens. 13(13), 2496. https://doi.org/10.3390/rs13132496   Datasets related to wheat and banana are not public since it belongs to the Israel Phenomics consortium. This research was funded by the Generic technological R&D program of the Israel innovation authority-the Phenomics consortium, and the Ministry of Science & Technology, Israel.
创建时间:
2023-06-27
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