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

From Earth Science Information Partners (ESIP)
Line 1: Line 1:
 
[[Agriculture_and_Climate | Back to Ag & Climate Workspace]]<br>
 
[[Agriculture_and_Climate | Back to Ag & Climate Workspace]]<br>
 +
* [https://spectrum.ieee.org/view-from-the-valley/robotics/artificial-intelligence/want-a-really-hard-machine-learning-problem-try-agriculture-say-john-deere-labs-leaders?utm_campaign=roboticsnews-10-22-19&utm_medium=email&utm_source=roboticsnews&mkt_tok=eyJpIjoiWVdObE5EazBZbUpsWWpneCIsInQiOiJIbndTYmpkXC9lTTRcL3dEZldKMjdaZzFXXC9cL2Q1SFBua1VZazBwM0dtOXRcLzkwMVlhOENXMlVqOFRLVlFWYVExMVB3QUlPdzBlTlNKTytjc1ZJd0xBYWpCMnJxNnlyblZmVjNHeFwvXC9CeXhmUkJUN3JHK3BmUmt0YUxMUWFhRWVwZ0gifQ%3D%3D Want a Really Hard Machine Learning Problem? Try Agriculture, Says John Deere Labs] (10/22/19)
 
* [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/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/2019/07/land-and-air-students-detect-crop-diseases-tech By land and air, students to detect crop diseases with tech] (08/16/19)

Revision as of 12:29, October 22, 2019