agrisago-bert

AgriSagot BERT - Philippine Agricultural Recommender

This model is fine-tuned on Philippine agricultural data for crop disease and pesticide recommendations, specifically designed for the AgriSagot application.

Model Description

• Base Model: BERT-base-uncased
• Training Data: Philippine registered agricultural products (as of August 2025)
• Use Case: Agricultural product recommendations based on crop and disease
• Language: English
• Country: Philippines
• Application: AgriSagot - Smart Agricultural Advisory System

Usage

from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("Hayme/agrisago-bert")
tokenizer = AutoTokenizer.from_pretrained("Hayme/agrisago-bert")

# Use for generating embeddings
inputs = tokenizer("rice blast treatment", return_tensors="pt")
outputs = model(**inputs)
embeddings = outputs.last_hidden_state.mean(dim=1)

API Usage

// In your AgriSagot API
const response = await hf.featureExtraction({
    model: 'Hayme/agrisago-bert',
    inputs: 'rice brown planthopper treatment'
});

Training Data

Trained on the official "UPDATED LIST OF REGISTERED PRODUCTS As of August 31, 2025" from Philippine regulatory authorities, containing comprehensive information about:

• Agricultural pesticides
• Fertilizers
• Plant growth regulators
• Crop protection products
• Target crops and pests/diseases
• Active ingredients and formulations

Intended Use

• Crop disease identification and treatment recommendations
• Agricultural product recommendations for Philippine farmers
• Pesticide matching for specific crop-disease combinations
• Integration with AgriSagot mobile and web applications
• Philippine agricultural advisory and extension services

Performance

This model understands Philippine-specific agricultural contexts including:

• Local crop varieties (rice, corn, tomato, etc.)
• Common Philippine pests and diseases
• Available agricultural products in the Philippine market
• Regulatory-approved treatment options

Limitations

• Trained specifically on Philippine agricultural data
• Recommendations should be verified with local agricultural experts
• Not suitable for other countries' agricultural systems without adaptation

Citation

If you use this model, please cite:

AgriSagot BERT Model (2025)
Trained on Philippine Agricultural Product Database
Available at: https://huggingface.co/Hayme/agrisago-bert