SoyRetrieval – Learning and Image Retrieval Techniques for Soybean Seed Vigor Analysis

• Rafael S. Bressan UTFPR
• Marcelo de Souza Júnior UTFPR
• Douglas F. Pereira UTFPR
• Pedro H. Bugatti UTFPR
• Priscila T. M. Saito UTFPR / UNICAMP

DOI: https://doi.org/10.5753/semish.2018.3434

Abstract

The production and selection of high quality seeds are fundamental factors for the success of the soybean crop. To evaluate such quality the seed industry in Brazil has been adopting the so-called tetrazolium test. However, a problem that can be observed in this testing process and analysis of seeds is the time and effort required by the specialist, making the process extremely laborious. Therefore, this work aims at developing and making available to the specialists content-based image retrieval and classification tools. The results of the experiments show that the proposed approach presents significant gains compared to state-of-the-art techniques.

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