Smart Crop Recommendation System Using Machine LearningSmart Crop Recommendation System Using Machine Learning
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
crop_recommendation
🌱 Crop Recommendation System (Machine Learning Project)
A web-based Machine Learning application that predicts the most suitable crop based on soil nutrients and environmental conditions to support smart agricultural decision-making.
Technologies Used: HTML, CSS, JavaScript, Django, Python, NumPy, Pandas, Scikit-learn
ML Model: Random Forest Classifier (with comparisons using Decision Tree, KNN, Logistic Regression, and SVM)
Input Features: N, P, K, Temperature, Humidity, pH, Rainfall
Target: Crop Label
Key Features:
User Signup & Signin Authentication
Dedicated Admin Login
Accurate crop prediction using ML
Clean and responsive web interface
Objective: To help farmers select the best crop using data-driven insights and improve agricultural productivity.
Skills: Artificial Intelligence (AI), SQL, +8 skills
Post image
Back to feed
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started