An Intelligent System to Enhance the Productivity and Sustainability in Soybean Crop Enterprises

Abstract

This work presents an approach for the automatic processing and classification of the vigor of soybean seeds. The validation was performed through experimental evaluation using real datasets. By automating the seed analysis, it is possible a faster and more precise control, increasing the market competitiveness between producers and benefiting consumers with higher quality products and more appropriate and specific prices, according to the quality of the seeds. In addition, consequently, improvements related to sustainability and productivity can be obtained in the processes of planting, multiplication and/or commercialization of soybeans with better quality.