AI / machine learning-related
From Earth Science Information Partners (ESIP)
The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.
Back to Ag & Climate Workspace
- Google reveals Mineral crop-inspecting robots (10/16/20)
- A Growing Presence on the Farm: Robots (02/21/20)
- Want a Really Hard Machine Learning Problem? Try Agriculture, Says John Deere Labs (10/22/19)
- Smart irrigation model predicts rainfall to conserve water (08/16/19)
- By land and air, students to detect crop diseases with tech (08/16/19)
- Cross-class collaboration combines cloud computing with ag (07/03/19)
- Awards fund innovations in digital agriculture (06/25/19)
- Digital ag is Cornell’s newest radical collaboration initiative (06/25/19)
- The American Midwest Will Feed a Warming World. But for How Long? (06/17/19)
- Why DARPA Funded a Farm Tech Startup (12/20/18)
- Deep learning and Soil Science — Part 1 (10/30/18)
- Deep learning and Soil Science — Part 2 (10/30/18)
- Deep learning and Soil Science — Part 3 (06/06/19)
- We'll have space bots with lasers, killing plants": The rise of the robot farmer (10/20/18)
- How farmers can use smartphones to make crop loss assessment (07/06/18)
- Why Farmers Are Turning to AI to Boost Yields (06/25/18)
- Big Data for Weed Control and Crop Protection (05/24/2017)
