Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops
Abstract Background Assessment of seed germination is an essential task for seed researchers to measure the quality and performance of seeds.Usually, seed assessments are done manually, which is a cumbersome, time consuming and error-prone process.Classical image Crochet Supplies analyses methods are not well suited for large-scale germination expe