Contributing to agriculture by using soybean seed data from the tetrazolium test.

ABSTRACT: Agribusiness has a great relevance in the world׳s economy. It generates a considerable impact in the gross national product of several nations. Hence, it is the major driver of many national economies. Nowadays, from each new planting to harvesting process it is mandatory and crucial to apply some kind of technology to optimize a given singular process, or even the entire cropping chain. For instance, digital image analysis joined with machine learning methods can be applied to obtain and guarantee a higher quality of the harvest, leading to not only a greater profit for producers, but also better products with lower cost to the final consumers. Thus, to provide this possibility this work describes a visual feature dataset from soybean seed images obtained from the tetrazolium test. This i

SUBMITTER: Pereira DF 

PROVIDER: S-EPMC6369404 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature