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

26 March 2020

Papers citing "Convolutional Neural Networks for Image-based Corn Kernel Detection and Counting"

6 / 6 papers shown

Title
Hinting Pipeline and Multivariate Regression CNN for Maize Kernel Counting on the Ear Felipe Araújo Igor Gadelha R. Tsukahara Luiz Pita Filipe Costa Igor Vaz Andreza Santos G. Folego 9 2 0 11 Jun 2023
An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions Saba Moeinizade Hieu H. Pham Ye Han Austin A. Dobbels Guiping Hu 20 29 0 02 Aug 2021
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery Saba Dadsetan David Pichler David Wilson N. Hovakimyan Jennifer Hobbs 44 6 0 20 Apr 2021
WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and Counting S. Khaki N. Safaei Hieu H. Pham Lizhi Wang 15 92 0 17 Mar 2021
High-Throughput Image-Based Plant Stand Count Estimation Using Convolutional Neural Networks S. Khaki Hieu H. Pham Ye Han W. Kent Lizhi Wang 31 17 0 23 Oct 2020
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation S. Khaki Hieu H. Pham Ye Han Andy Kuhl W. Kent Lizhi Wang 19 60 0 20 Jul 2020