Difference between revisions of "AI / machine learning-related"

Revision as of 13:19, August 16, 2019

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)

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 [[Agriculture_and_Climate | Back to Ag & Climate Workspace]]<br>
+* [http://news.cornell.edu/stories/2019/07/smart-irrigation-model-predicts-rainfall-conserve-water Smart irrigation model predicts rainfall to conserve water] (08/16/19)
 * [http://news.cornell.edu/stories/2019/07/land-and-air-students-detect-crop-diseases-tech By land and air, students to detect crop diseases with tech] (08/16/19)
 * [http://news.cornell.edu/stories/2019/06/cross-class-collaboration-combines-cloud-computing-ag Cross-class collaboration combines cloud computing with ag] (07/03/19)