Deep Neural Networks and Transfer Learning for Food Crop Identification in UAV Images

Deep Neural Networks and Transfer Learning for Food Crop Identification in UAV Images

Accurate projections of seasonal agricultural output are essential for improving food security. However, the collection of agricultural information through seasonal agricultural surveys is often not timely enough to inform public and private stakeholders about crop status during the growing season....

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Bibliographic Details
Main Authors: Robert Chew, Jay Rineer, Robert Beach, Maggie O'Neil, Noel Ujeneza, Daniel Lapidus, Thomas Miano, Meghan Hegarty-Craver, Jason Polly, Dorota S. Temple
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Drones
Subjects:
remote sensing
crop analytics
crop mapping
uavs
machine learning
convolutional neural networks
deep learning
smallholder systems
Online Access:https://www.mdpi.com/2504-446X/4/1/7

Internet

https://www.mdpi.com/2504-446X/4/1/7

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