TY - JFULL AU - Gizelle K. Vianna and Gustavo S. Oliveira and Gabriel V. Cunha PY - 2017/5/ TI - A Neuro-Automata Decision Support System for the Control of Late Blight in Tomato Crops T2 - International Journal of Computer and Information Engineering SP - 454 EP - 462 VL - 11 SN - 1307-6892 UR - https://publications.waset.org/pdf/10006812 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 124, 2017 N2 - The use of decision support systems in agriculture may help monitoring large fields of crops by automatically detecting the symptoms of foliage diseases. In our work, we designed and implemented a decision support system for small tomatoes producers. This work investigates ways to recognize the late blight disease from the analysis of digital images of tomatoes, using a pair of multilayer perceptron neural networks. The networks outputs are used to generate repainted tomato images in which the injuries on the plant are highlighted, and to calculate the damage level of each plant. Those 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. ER -