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Ultimately, precise germination data helps reduce waste, boost yields, and drive sustainable agriculture practices, playing a vital role in ensuring food security worldwide. This video explores the importance of germination counts across the agricultural value chain.
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...
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.
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.
12 Μαΐ 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...
8 Ιαν 2020 · The present paper focuses on the analysis of germination data with generalized linear mixed models (GzLMMs) and concerns the application of such models to germination tests, for which some examples that are representative of common experimental setups are provided.
Numerous methods of analysing the resulting data have been proposed, most of which fall into three classes: intuition-based germination indexes, classical non-linear regression analysis and time-to-event analysis (also known as survival analysis, failure-time analysis and reliability analysis).
