Sure! Here's a DEV.to style blog post for your project Crop Yield Prediction:
🚜 Predicting Crop Yield using Machine Learning 🌾
An ML project to empower smarter agriculture decisions
GitHub Repo →
📌 Introduction
Agriculture remains the backbone of the Indian economy, yet farmers still face unpredictable yields due to varying environmental and input conditions. To tackle this issue, I built a machine learning model that predicts crop yield based on historical and input-based features.
This project is simple, beginner-friendly, and practical.
🧠 Problem Statement
"How can we accurately predict crop yield based on inputs like rainfall, fertilizer, and pesticide use?"
Farmers often rely on experience or guesswork. This model helps bring data-driven decision-making to the field.
📊 Dataset Overview
The dataset includes:
- Area
- Production
- Crop Year
- Rainfall
- Fertilizer
- Pesticide
📌 Categorical features are label-encoded for model compatibility.
🛠️ Tech Stack
- Python 🐍
- Pandas & NumPy
- Scikit-learn
- Matplotlib (optional for plots)
🧪 Models Used
I trained and evaluated three regression models:
- Linear Regression
- Random Forest Regressor
- Gradient Boosting Regressor ✅ Best performer
Evaluation Metrics:
- R² Score
- Adjusted R²
- RMSE
Gradient Boosting gave the highest R² score on the test set and was chosen as the final model.
🖥️ Interactive Prediction Interface
The script allows users to input values for the features and get instant yield predictions.
✅ Handles feature consistency
✅ Uses the trained model and encoders
🚀 Try it Out!
Clone the repo and run the script locally:
git clone https://github.com/h4ck3r0/crop-yielding-prediction
cd crop-yielding-prediction
python main.py
🌱 Future Improvements
- Add UI with Streamlit or Flask
- Integrate with real-time weather APIs
- Visual analytics for predictions
⭐ Final Thoughts
This is a practical application of ML in solving a real-world agricultural problem.
Feel free to fork, contribute, or reach out for collaboration!
🔗 GitHub: h4ck3r0/crop-yielding-prediction
Let me know what you think! Would love to hear feedback or ideas for improvements.
#MachineLearning #Python #DataScience #AI #Agriculture #OpenSource #DEVCommunity
Would you like a similar one for your free ML resources repo?