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  1. 11 Νοε 2021 · Here, we present the first-ever generic germination prediction technology that is based on deep learning and RGB image data and facilitates seed classification by seed germinability and...

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  2. 22 Δεκ 2020 · We here propose a machine learning approach using modern artificial neural networks with region proposals for accurate seed germination detection and high-throughput seed germination experiments.

  3. Here, we present the first-ever generic germination prediction technology that is based on deep learning and RGB image data and facilitates seed classification by seed germinability and...

  4. 27 Απρ 2020 · Germination data are analyzed by several methods, which can be mainly classified as germination indexes and traditional regression techniques to fit non-linear parametric functions to the temporal sequence of cumulative germination.

  5. 12 Μαΐ 2020 · Analysis using distinct time-to-event approaches, including the Kaplan–Meier estimator and Cox proportional hazard model, was employed to interpret germination data.

  6. 13 Ιουν 2020 · Here, we introduce SeedGerm, a platform designed for automating seed imaging and high-throughput germination analysis for a variety of crop seeds.

  7. 15 Μαρ 2022 · The objective of the model is to develop a predictive analytics system for the classification of the seeds by their germination ability. The model adopts the necessary image-level features like the GLRLM features, GLSM features, local binary patterns, fractal dimensions, and morphological features.

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