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Retrieved on: 2025-04-07 14:04:52
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Summary
The article discusses precision agriculture by identifying wheat crop growth stages using deep learning models, highlighting a novel combination of MobileNetV2 and DenseNet-121. It utilizes machine learning, computer vision, and data augmentation to enhance accuracy, aligning well with tags like precision agriculture, convolutional neural network, and artificial neural networks.
Article found on: www.nature.com
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