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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
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