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About Identification of Maize Crop Using Deep Learning
This document provides an overview of an research project that aims to identify maize crop diseases using deep learning. It begins with an introduction to maize as a staple crop and the importance of identifying diseases. It then discusses approaches that will be used, including collecting an image dataset, preprocessing images, and designing a convolutional neural network (CNN) model. Key research problems are limited data, fine-grained classification, generalization to new diseases, and environmental variability. The objectives are to collect images of maize diseases and design deep learning models to identify diseases in images. A literature review covers previous work on crop protection, ImageNet, VGG networks, and advances in CNNs.
Detailed Information
| Author: | ['Kovid Aggarwal'] |
|---|---|
| Publication Year: | 2024 |
| Pages: | 25 |
| Language: | English |
| Format: | |
| Price: | FREE |
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