Corchin

• 

  Crop yield prediction

Inspiration

to leverage the power of advanced technologies like artificial intelligence, machine learning, and data analytics to address the challenges faced by modern agriculture.

What it does

innovative agricultural solution that combines data-driven crop yield prediction with precision agriculture techniques.

How we built it

Data Set: Given by the organizers. Data Preprocessing: The collected data was cleaned, organized, and prepared for machine learning models. Machine Learning Models: Advanced machine learning algorithms were developed to build crop yield prediction models based on historical data and real-time information.

Challenges we ran into

Had challenges with data training and testing.

Accomplishments that we're proud of

Despite the challenges, I successfully created a functional prototype of Corchin. I'm a total beginner, so it was fun and valuable learning new things.

What we learned

Understanding the complexities and unique challenges faced by farmers in different regions and crop types. Data Handling and Training and testing models.

What's next for Corchin

Corchin can be integrated with autonomous farming equipment to enable real-time adjustments based on predictions. Hope to improve the model with more data and accurate predictions.

Built With

• jyputer
• numpy
• pandas
• python
• scikit-learn