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Hayme/
agrisago-bert

safetensors

bert

agriculture

philippine-agriculture

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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

python

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

javascript

// 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