Skip to content
#

agroai

Here are 2 public repositories matching this topic...

Language: All
Filter by language

This System can predicts the most suitable crop based on soil nutrients and weather conditions. It uses a Random Forest model trained on features like Nitrogen, Phosphorus, Potassium, Temperature, Humidity, pH, and Rainfall. The system provides predictions along with confidence scores for all possible crops, helping farmers make informed decisions.

  • Updated Jan 17, 2026
  • Python

Improve this page

Add a description, image, and links to the agroai topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the agroai topic, visit your repo's landing page and select "manage topics."

Learn more