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

Multimodal MR Synthesis via Modality-Invariant Latent Representation

(2018) Agisilaos Chartsias et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Citizen crowds and experts: observer variability in image-based plant phenotyping

(2018) M. Valerio Giuffrida et al.   Plant Methods

The use of plant models in deep learning: an application to leaf counting in rosette plants

(2018) Jordan Ubbens et al.   Plant Methods

Phenotiki: an open software and hardware platform for affordable and easy image-based phenotyping of rosette-shaped plants

(2017) Massimo Minervini et al.   PLANT JOURNAL

A “Do-It-Yourself” phenotyping system: measuring growth and morphology throughout the diel cycle in rosette shaped plants

(2017) Andrei Dobrescu et al.   Plant Methods

Deep Count: Fruit Counting Based on Deep Simulated Learning

(2017) et al.   SENSORS

Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks

(2017) Jordan R. Ubbens et al.   Frontiers in Plant Science

PlantCV v2: Image analysis software for high-throughput plant phenotyping

(2017) Malia A. Gehan et al.   PeerJ

Finely-grained annotated datasets for image-based plant phenotyping

(2016) Massimo Minervini et al.   PATTERN RECOGNITION LETTERS

Machine Learning for Plant Phenotyping Needs Image Processing

(2016) Sotirios A. Tsaftaris et al.   TRENDS IN PLANT SCIENCE

Machine Learning for High-Throughput Stress Phenotyping in Plants

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

Modeling leaf growth of rosette plants using infrared stereo image sequences

(2015) Eren Erdal Aksoy et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner]

(2015) Massimo Minervini et al.   IEEE SIGNAL PROCESSING MAGAZINE

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Multi-modality imagery database for plant phenotyping

(2015) Jeffrey A. Cruz et al.   MACHINE VISION AND APPLICATIONS

Leaf segmentation in plant phenotyping: a collation study

(2015) Hanno Scharr et al.   MACHINE VISION AND APPLICATIONS

Deep learning

(2015) Yann LeCun et al.   NATURE

Phytotyping4D: a light-field imaging system for non-invasive and accurate monitoring of spatio-temporal plant growth

(2015) Federico Apelt et al.   PLANT JOURNAL

Integrated Analysis Platform: An Open-Source Information System for High-Throughput Plant Phenotyping

(2014) C. Klukas et al.   PLANT PHYSIOLOGY

Future Scenarios for Plant Phenotyping

(2013) Fabio Fiorani et al.   Annual Review of Plant Biology

Phenomics – technologies to relieve the phenotyping bottleneck

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

Potential contribution of dwarf and leaf longevity traits to yield improvement in photoperiod sensitive sorghum

(2007) M. Kouressy et al.   EUROPEAN JOURNAL OF AGRONOMY