A Neuro-automata Decision Support System for Phytosanitary Control of Late Blight

Gizelle Kupac Vianna, Gustavo Sucupira Oliveira, Gabriel Vargas Cunha

2017

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 when to start the spraying and in the analysis of losses and gains of each choice of action.

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Paper Citation


in Harvard Style

Vianna G., Oliveira G. and Cunha G. (2017). A Neuro-automata Decision Support System for Phytosanitary Control of Late Blight . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 481-488. DOI: 10.5220/0006236104810488


in Bibtex Style

@conference{iceis17,
author={Gizelle Kupac Vianna and Gustavo Sucupira Oliveira and Gabriel Vargas Cunha},
title={A Neuro-automata Decision Support System for Phytosanitary Control of Late Blight},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={481-488},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006236104810488},
isbn={978-989-758-247-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Neuro-automata Decision Support System for Phytosanitary Control of Late Blight
SN - 978-989-758-247-9
AU - Vianna G.
AU - Oliveira G.
AU - Cunha G.
PY - 2017
SP - 481
EP - 488
DO - 10.5220/0006236104810488