This paper presents EXPERTIC system, a web platform which predicts risk disease in
grapes, as well as diagnosis of diseases. The system is focused on problems which exists in …

In this paper we will analyze what type of data we need in order to perform the research.
Hence, we needed to gather a satisfying set of data that we will use for testing the initial …

Plasmopara viticola, the causal agent of downy mildew (DM), and Uncinula necator, the
causal agent of powdery mildew (PM), are two of the main phytopathogenic microorganisms …

In this paper we present an agricultural case study for learning Bayesian networks (BNs),
namely prediction of coffee rust. Wide-spread in all major production areas, coffee rust …

Since the beginning of 2005, we have created an integrated study group that uses Artificial
Intelligence analysis techniques to try to forecast Plasmopara viticola infections. At the …

Most of the forecasting models of Plasmopara viticola infections are based upon empiric
correlations between meteorological/environmental data and pathogen outbreak. These …

Grapes are indeed a vital crop for both the fruit and wine industries globally. They are
cultivated in numerous regions around the world and contribute significantly to the economy …

SEMM is an information and decision support system in integrated crop protection.
Knowledge incorporated into the present prototype includes grapevine (table and wine …

In the realm of image categorization, the most recent iteration of convolutional neural
networks, often known as CNNs, has produced quite excellent results. This study explores a …

Abstract Diseases in Agricultural Production Systems represent one of the biggest drivers of
losses and poor quality products. In the case of coffee production, experts in this area …