An intelligent system to enhance the productivity and sustainability in soybean crop enterprises

Abstract

This work presents an approach for the automatic processing andclassification of the vigor of soybean seeds. The validation wasperformed through experimental evaluation using real datasets.By automating the seed analysis, it is possible a faster and moreprecise control, increasing the market competitiveness betweenproducers and benefiting consumers with higher quality productsand more appropriate and specific prices, according to the qualityof the seeds. In addition, consequently, improvements related tosustainability and productivity can be obtained in the processesof planting, multiplication and/or commercialization of soybeanswith better quality