Deep Convolutional Neural Network for Rice Density Prescription Map at Ripening Stage Using Unmanned Aerial Vehicle-Based Remotely Sensed Images

Deep Convolutional Neural Network for Rice Density Prescription Map at Ripening Stage Using Unmanned Aerial Vehicle-Based Remotely Sensed Images

In this paper, UAV (unmanned aerial vehicle, DJI Phantom4RTK) and YOLOv4 (You Only Look Once) target detection deep neural network methods were employed to collected mature rice images and detect rice ears to produce a rice density prescription map. The YOLOv4 model was used for rice ear quick detec...

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Bibliographic Details
Main Authors: Lele Wei, Yusen Luo, Lizhang Xu, Qian Zhang, Qibing Cai, Mingjun Shen
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
unmanned aerial vehicle
rice ear
density
deep convolutional neural network
prescription map
Online Access:https://www.mdpi.com/2072-4292/14/1/46

Internet

https://www.mdpi.com/2072-4292/14/1/46

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