Correction:A bimodal image dataset for seed classification from the visible and near-infrared spectrum

Key Points

• The study reveals effective seed classification from both visible and near-infrared spectra, enhancing accuracy.
• Using a bimodal image dataset, classification accuracy reaches significant levels, potentially impacting agriculture.
• Data were collected using advanced imaging technology, focusing on spectral responses from seed samples.
• These findings highlight the need for further research to validate and apply this technique broadly within the agricultural sector.