Page 6 - العدد الثالث - الاصدار السادس-شهر يونيو

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Impact on Agriculture: Key Applications
The deployment of deep generative models across the agricultural domain has yielded measurable
advances in several interconnected areas. Table provides a summary of the primary model types and
their corresponding applications.

Summary of Deep Generative Model Types and Agricultural Applications

Model Type Key Agricultural Applications Primary Benefits

GAN Synthetic training data generation; Reduces cost of data

plant disease image synthesis; weather collection; improves model

scenario modeling robustness

VAE Crop yield forecasting; soil property Compact latent representation;
estimation; remote sensing feature uncertainty quantification
extraction

Diffusion High-fidelity image augmentation; State-of-the-art image quality;
Models multi-spectral data generation; climate controllable generation
simulation

Transformer- Precision irrigation advisory; pest Contextual reasoning; multi-
based LLMs management decision support; lingual farmer support

agricultural chatbots

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Address: New Beni-Suef City. Beni-Suef. 62111 Web Site: WWW.fci.bsu.edu.eg

Email: fci@fci.bsu.edu.eg Telephone/Fax: 082 2246796