Convolutional Neural Networks for Image-Based Corn Kernel Detection and Counting

Convolutional Neural Networks for Image-Based Corn Kernel Detection and Counting

Precise in-season corn grain yield estimates enable farmers to make real-time accurate harvest and grain marketing decisions minimizing possible losses of profitability. A well developed corn ear can have up to 800 kernels, but manually counting the kernels on an ear of corn is labor-intensive, time...

Full description

Bibliographic Details
Main Authors: Saeed Khaki, Hieu Pham, Ye Han, Andy Kuhl, Wade Kent, Lizhi Wang
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
corn kernel counting
object detection
convolutional neural networks
digital agriculture
Online Access:https://www.mdpi.com/1424-8220/20/9/2721

Internet

https://www.mdpi.com/1424-8220/20/9/2721

Similar Items