Unsupervised Greenhouse Tomato Plant Segmentation Based on Self-Adaptive Iterative Latent Dirichlet Allocation from Surveillance Camera
It has long been a great concern in deep learning that we lack massive data for high-precision training sets, especially in the agriculture field. Plants in images captured in greenhouses, from a distance or up close, not only have various morphological structures but also can have a busy background...
| Váldodahkkit: | , |
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| Materiálatiipa: | Artihkal |
| Giella: | English |
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MDPI AG
2019-02-01
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| Ráidu: | Agronomy |
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| Liŋkkat: | https://www.mdpi.com/2073-4395/9/2/91 |