---
license: mit
base_model: microsoft/phi-1_5
tags:
- agriculture
- india
- lora
- crop-recommendation
pipeline_tag: text-generation
library_name: transformers
---

# Agri-SLM India — Crop Recommendation

LoRA fine-tune of microsoft/phi-1_5 on the Kaggle Crop Recommendation Dataset
(2,200 real records: soil N-P-K, pH, temperature, humidity, rainfall -> recommended crop).

## What it does
Given soil nutrient and climate readings, recommends one of 22 crops.

## What it does NOT do
General farming advice, pest/disease guidance, yield predictions, or anything
outside the soil->crop mapping it was trained on. It will produce plausible-sounding
but fabricated numbers (e.g. yield figures) for anything outside its training data --
do not trust specific numeric claims from it.

## Usage
Prompt format: `Question: <soil/climate description>\nAnswer:`

## Training data
Kaggle Crop Recommendation Dataset by Atharva Ingle -- check the dataset's license
before assuming redistribution rights for the raw data itself.