Published October 29, 2023
| Version v1
Book chapter
Open
CLASSIFICATION OF SOYBEAN LEAVES USING THE EDGE IMPULSE PLATFORM
Creators
- 1. Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
- 2. James Clerk Maxwell Laboratory for Microwaves and Applied Electromagnetism (LABMAX)
- 3. Fit Tecnologia
Description
Modern agriculture increasingly relies on technology, including artificial intelligence (AI) image classification, to improve crop management. This study focuses on applying image classification to diagnose diseases in soybean leaves using a convolutional neural network. The results show 95% accuracy in identifying healthy and diseased leaves, indicating the potential of AI as an effective tool for monitoring crop health.
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References
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- SINGH RAJPUT, A., SHUKLA, S., & THAKUR, S.S. SoyNet: A high-resolution Indian soybean image dataset for leaf disease classification. Data in Brief, 49, 109447. https://doi.org/10.1016/j.dib.2023.109447, 2023
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