Evaluating late blight severity in potato crops using unmanned aerial vehicles and machine learning algorithms

HIGHLIGHTS

• who: Julio M. Duarte-Carvajalino and collaborators from the (UNIVERSITY) have published the paper: Evaluating Late Blight Severity in Potato Crops Using Unmanned Aerial Vehicles and Machine Learning Algorithms, in the Journal: (JOURNAL)
• what: This is the first study aimed to predict severity of late blight affectation on potato crops using multispectral remotely sensed images and state-of-the-art machine_learning algorithms. The study demonstrates the usefulness of multispectral remote sensing images to monitor late blight; multispectral imagery taken with UAVs could start after 30-40 days of planting with successive aerial images captured at . . .
  

   

  

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