Authors:
Gizelle Kupac Vianna
;
Gustavo Sucupira Oliveira
and
Gabriel Vargas Cunha
Affiliation:
Universidade Federal Rural do Rio de Janeiro, Brazil
Keyword(s):
Decision Support System, Cellular Automata, Pattern Recognition, Artificial Neural Networks, Digital Images Processing.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Enterprise Information Systems
;
Strategic Decision Support Systems
Abstract:
Foliage diseases in plants can cause a reduction in both quality and quantity of agricultural production. In our work, we designed and implemented a decision support system that may small tomatoes producers in monitoring their crops by automatically detecting the symptoms of foliage diseases. We have also investigated ways to recognize the late blight disease from the analysis of tomato digital images, using a pair of multilayer perceptron neural network. One neural network is responsible for the identification of healthy regions of the tomato leaf, while the other identifies the injured regions. The networks outputs are combined to generate repainted tomato images in which the injuries on the plant are highlighted, and to calculate the damage level at each plant. That levels are then used to construct a situation map of a farm where a cellular automata simulates the outbreak evolution over the fields. The simulator can test different pesticides actions, helping in the decision on wh
en to start the spraying and in the analysis of losses and gains of each choice of action.
(More)