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NemaNet: A convolutional neural network model for identification of nematodes soybean crop in brazil
The general average calculated for each model, on a from-scratch training, the NemaNet model reached 96. 99% accuracy, while the best evaluation fold reached 98. 03%.
Plant Diseases recognition on images using Convolutional Neural Networks: A Systematic Review
Plant diseases are considered one of the main factors influencing food production and minimize losses in production, and it is essential that crop diseases have fast detection and recognition.
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