Image analysis and peanut seeds performance during the production process

Abstract

During the production process, obtaining high quality seeds is subject to careful management and quality assessment procedure for the stages process. This work aimed to verify the automated system of image analysis (SVIS^®) efficiency to evaluate the peanut seeds physiological potential obtained during the produc­tion process. Treatments consisted of plant digging, combine, transportation, drying, storage (two, four, and six months), and the following processing steps: mechanical threshing, classification by size, separation by density and color, and chemical treatment. The seeds were evaluated by moisture content, germination, vigor and SVIS^®. Data were analyzed by uni and multivariate statistical procedures. During harvest until stor­age stages, the seeds had high physiological potential. This good quality was not sustained with the follow­ing stages. Results of SVIS^® analyses, along with other tests, were highly correlated with the new latent vari­able obtained by principal component analysis. Results provided by SVIS^® has strong relationship with the other procedures to evaluate the physiological potential of peanut seeds from different stages of the produc­tion process.