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This document summarizes a research paper on using deep learning and drones for precision farming of tomatoes. Specifically, it aims to effectively identify high disease areas in farms using convolutional neural networks (CNNs) and then precisely spray pesticides on affected areas based on infection level, using drones. The researchers trained an Inception CNN model using 2100 images from the internet and 500 local farm images to classify tomato leaves into 3 categories: good, average, and bad. Transfer lea

Author

Naoual Naji

Language

EN