DeepCorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation

Predicting yield performance of parents in plant breeding: A neural collaborative filtering approach

(2020) Saeed Khaki et al.   PLoS One

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

(2020) Saeed Khaki et al.   SENSORS

CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture

(2019) Yang-Yang Zheng et al.   SENSORS

Crop Yield Prediction Using Deep Neural Networks

(2019) Saeed Khaki et al.   Frontiers in Plant Science

Progressive Learning for Person Re-Identification With One Example

(2019) Yu Wu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Atrous convolutions spatial pyramid network for crowd counting and density estimation

(2019) Junjie Ma et al.   NEUROCOMPUTING

SCAR: Spatial-/channel-wise attention regression networks for crowd counting

(2019) Junyu Gao et al.   NEUROCOMPUTING

Estimation of Maize (Zea mays L.) Yield Per Harvest Area: Appropriate Methods

(2019) Liliane Ngoune Tandzi et al.   Agronomy-Basel

Classification of Crop Tolerance to Heat and Drought—A Deep Convolutional Neural Networks Approach

(2019) Saeed Khaki et al.   Agronomy-Basel

Multiscale Multitask Deep NetVLAD for Crowd Counting

(2018) Zenglin Shi et al.   IEEE Transactions on Industrial Informatics

Potential of feeding beef cattle with whole corn crop silage and rice straw in Malaysia

(2018) Muhamad Hazim Nazli et al.   TROPICAL ANIMAL HEALTH AND PRODUCTION

Pheno-Deep Counter: a unified and versatile deep learning architecture for leaf counting

(2018) Mario Valerio Giuffrida et al.   PLANT JOURNAL

Removing background interference for crowd counting via de-background detail convolutional network

(2018) Luyang Wang et al.   NEUROCOMPUTING

Wheat Height Estimation Using LiDAR in Comparison to Ultrasonic Sensor and UAS

(2018) Wenan Yuan et al.   SENSORS

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

TasselNet: counting maize tassels in the wild via local counts regression network

(2017) Hao Lu et al.   Plant Methods

A real-time phenotyping framework using machine learning for plant stress severity rating in soybean

(2017) Hsiang Sing Naik et al.   Plant Methods

X-FIDO: An Effective Application for Detecting Olive Quick Decline Syndrome with Deep Learning and Data Fusion

(2017) Albert C. Cruz et al.   Frontiers in Plant Science

Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning

(2017) Guan Wang et al.   Computational Intelligence and Neuroscience

Machine Learning for High-Throughput Stress Phenotyping in Plants

(2016) Arti Singh et al.   TRENDS IN PLANT SCIENCE

Using Deep Learning for Image-Based Plant Disease Detection

(2016) Sharada P. Mohanty et al.   Frontiers in Plant Science

Phenomics – technologies to relieve the phenotyping bottleneck

(2011) Robert T. Furbank et al.   TRENDS IN PLANT SCIENCE

Population dynamics and climate change: what are the links?

(2010) J. Stephenson et al.   JOURNAL OF PUBLIC HEALTH