Diego Portalanza Meteored Brazil
A study accepted for publication in Scientific Reports presents an artificial intelligence system capable of classifying foliar diseases with high precision and speed.
The proposal stands out because it addresses a persistent obstacle in the sector: the early detection of what is happening to the plant.
In this work, researchers developed the DeepGreen model, based on a Conv-7 DCNN architecture (Deep Convolutional Neural Network with 7 convolutional layers) with a modified attention layer, to identify diseases in tomato, potato, and pepper leaves. The result…
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