Improving deep learning sorghum head detection through test time augmentation

Weighted boxes fusion: Ensembling boxes from different object detection models

(2021) Roman Solovyev et al.   IMAGE AND VISION COMPUTING

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

(2020) Saeed Khaki et al.   SENSORS

Biomedical image augmentation using Augmentor

(2019) Marcus D Bloice et al.   BIOINFORMATICS

Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images

(2019) Qi Yang et al.   FIELD CROPS RESEARCH

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks

(2019) Guotai Wang et al.   NEUROCOMPUTING

Methods of crop yield measurement on multi-cropped plots: Examples from Tanzania

(2019) Ayala Wineman et al.   Food Security

Recognising weeds in a maize crop using a random forest machine-learning algorithm and near-infrared snapshot mosaic hyperspectral imagery

(2018) Junfeng Gao et al.   BIOSYSTEMS ENGINEERING

Multicontext 3D residual CNN for false positive reduction of pulmonary nodule detection

(2018) Zhancheng Zhang et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Aerial Imagery Analysis – Quantifying Appearance and Number of Sorghum Heads for Applications in Breeding and Agronomy

(2018) Wei Guo et al.   Frontiers in Plant Science

A brief introduction to weakly supervised learning

(2017) Zhi-Hua Zhou   National Science Review

Machine vision for counting fruit on mango tree canopies

(2016) W. S. Qureshi et al.   PRECISION AGRICULTURE

Apple detection in nighttime tree images using the geometry of light patches around highlights

(2015) Raphael Linker et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Real-time image processing for crop/weed discrimination in maize fields

(2011) Xavier P. Burgos-Artizzu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Object Detection with Discriminatively Trained Part-Based Models

(2009) P F Felzenszwalb et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE