Assessment of training data on visual acuity of evaluators in plant diseases, carried out through the web tool SiTAV

Abstract

The present study analyzed the data compiled after the training of the precision and visual accuracy of the evaluators of both genders in plant diseases, using the SiTAV (Visual Acuity Training System) website. The training data were analyzed through the exploratory analysis, with the aid of the statistical program SAS 9.4. With 52,495 training data being stored in the system's MySQL database identified. The tabulation of training data ranked the evaluations in three classes of accuracy of major hits (underestimated, precise and overestimated), where 30.36% (15.938) training were classified as accurate. The distribution of training data between accuracy classes and five hit categories (excellent, optimal, good, fair and poor) indicated that the level of excellent severity obtained 30.04% (15,772) of training data of the six levels of severity, level 1 (0 to 3% of real severity) reached 33.31% (17,486) of training data. It is concluded that the smaller the lesion size of plant diseases, the greater the accuracy of the evaluator.