Devpost
Participate in our public hackathons
Devpost for Teams
Access your company's private hackathons
Grow your developer ecosystem and promote your platform
Drive innovation, collaboration, and retention within your organization
By use case
Blog
Insights into hackathon planning and participation
Customer stories
Inspiration from peers and other industry leaders
Planning guides
Best practices for planning online and in-person hackathons
Webinars & events
Upcoming events and on-demand recordings
Help desk
Common questions and support documentation
Explainable AI for soybeans yield prediction
How to get more information out of early crop yield prediction and see which times of the years and which features are critical for crop yield prediction using xAI
Crop yield prediction with remote sensing and machine learning and exploring relations with explainable AI in Time Series
We provide an interactive dashboard which makes it fun to explore all aspects of crop modeling - From the input data, to the model theory and prediction process, to simulating possible scenarios.
Explain the The Unexplainable
Crop yields prediction via ensemble of ML models and exploration of temporal dynamics between predictors and yields
This is a statistical engine developed in R that uses findings from agricultural economics to provide predictions of crop yields. It was submitted to the 2022 ML4Earth Hackathon.
Crop yield prediction with remote sensing and machine learning and exploring relations with explainable AI
Guiding agriculture
1 – 9 of 9