Cristiano Roberto Cervi

Comparing the Reputation of Researchers Using a Profile Model and Scientific Metrics

In this paper we address the issue of identifying the profile of researchers and measure their reputation. We propose a comprehensive and adaptive approach supported by a profile model and a metric for identifying scientific reputation. The profile model involves elements of the scientific trajectory of a researcher built throughout his career. We show, through experiments, that our approach is strongly correlated with the results of h-index and g-index. To validate our approach we used Spearmans rank correlation coefficient to compare 404 Brazilian researchers of Computer Science of the National Research Council (CNPq) who have research scholarships.

Web-Based System to True-Forecast Disease Epidemics – Sisalert

One important step-in developing plant disease and pest forecasting systems is to provide an easy and comprehensive way to either run the models or deliver results to the users. The use of near realtime and, in some cases, forecast weather data is crucial to forecast outbreaks of plant diseases or pests at both local and regional basis. In this work, we present a web-based information system designed to retrieve weather data from both weather stations and remote database with 7-days weather forecast and run the models. The system has been adjusted to predict outbreaks of two diseases of wheat and four diseases of apple. The models are run in a daily basis and the results are real-time generated and presented in tabular, graphical and text format - an interpretation of results based on an expert assessment. Alternatively, alerts are sent to emails and cell phones. The system proved to be functional, flexible and has the potential to be integrated into a decision support system for pest and disease management. The system has been tested by growers and preliminary results showed a significant reduction of pesticide applications compared to conventional systems.

Um sistema web para acompanhar o crescimento e desenvolvimento do algodão

This work presents the development of a Web-Based simulator, designed to track the cotton growth, making use of the relationship between the phenological stages and the degree-days accumulation. In this manner, are presented a research on the cotton growth, in order to determine how is the development of culture and its relationship with the heat accumulation and a survey on current Web technologies. The tool proposed operates in three different ways: past, present and future, supplying the user with relevant information in the cotton crop.