Deep learning to predict maize yield (IMAGE)

Purdue University

Deep learning to predict maize yield

Caption

Claudia Aviles Toledo, Mitch Tuinstra and Melba Crawford used remote sensing technologies, like the uncrewed aerial vehicle here, to gather data across corn fields and develop it into a deep-learning neural network capable of predicting maize yield. (Purdue Agricultural Communications

Credit

Purdue Agricultural Communications photo/Joshua Clark

Usage Restrictions

News organizations may use this image in reports about the work of Purdue University's Mitch Tuinstra, Melba Crawford and their associates.

License

Original content

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.