Domestic Edge Computing Terminal Pest Identification System Based on Large Model Compression and Lightweight: Innovative Application of Transformer-ConvLSTM and Adaptive Deployment

Published: 26 February 2025| Version 1 | DOI: 10.17632/t62vysxjn3.1
Contributor:
Shiwei Chu

Description

The dataset is a publicly available collection of agricultural pest images, designed to include a variety of common pest species found in agricultural environments. It features 20 distinct pest types, such as rice planthoppers, aphids, spider mites, cabbage caterpillars, among others. The images, which are primarily captured in real-world agricultural settings, come with corresponding labels, making them highly relevant for practical applications. This dataset effectively reflects the diversity and distribution of pests in actual agricultural scenarios.

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Categories

Agricultural Engineering, Plant Pest

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