Bøger af Hudson Souza

This work deals with the development of web-based software to train the visual acuity of assessors with or without experience in the process of assessing the incidence and severity of plant disease lesions in certain crops. The proper training process for the evaluator requires standardized methods for quantifying the area damaged by the plant disease, seeking to minimize subjectivity in estimating the severity of plant diseases by training the evaluators' precision and accuracy. The severity variable is considered the best parameter to reference the damage caused by plant diseases to leaves or fruit and the diagrammatic scale is considered the best alternative to help assess plant disease lesions. The importance of adequate visual acuity training is directly reflected in efficient data collection that can determine the disease progress curve, serving as a parameter for the most appropriate management for effective disease control on the crop.

The aim of this book is to describe the development stages of the website Sistema de Análise Temporal de Doenças em Plantas (SiTemp), available at [http://sitav.pga.uem.br]. The web tool is aimed at agronomists, who have technical and scientific knowledge of the temporal analysis of diseases. Registration information and data observed in the field or laboratory on the severity of plant diseases are stored in the SiTemp database, generating a history, which, using Artificial Intelligence (AI) techniques, processes the observed data using the Logistic, Monomolecular and Gompertz mathematical models, choosing the model that presents the best solution to explain the data set and calculating the temporal analysis and the shape of the Area Under the Disease Progress Curve (AACPD). The result of the temporal analysis is generated in the form of texts, variables, tables and graphs, and it is the agronomist's responsibility to analyze the information, which will serve as a technical-scientific basis for their final decision on crop management.Keywords: Web, disease management, epidemiology.