Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large-scale genetic studies

Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

(2017) Michael P. Pound et al.   GigaScience

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

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

RootGraph: a graphic optimization tool for automated image analysis of plant roots

(2015) Jinhai Cai et al.   JOURNAL OF EXPERIMENTAL BOTANY

Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data

(2015) Iftikhar Ali et al.   Remote Sensing

Machine learning for Big Data analytics in plants

(2014) Chuang Ma et al.   TRENDS IN PLANT SCIENCE

Image-based plant phenotyping with incremental learning and active contours

(2013) Massimo Minervini et al.   Ecological Informatics

Recovering Root System Traits Using Image Analysis Exemplified by Two-Dimensional Neutron Radiography Images of Lupine

(2013) D. Leitner et al.   PLANT PHYSIOLOGY

RootNav: Navigating Images of Complex Root Architectures

(2013) M. P. Pound et al.   PLANT PHYSIOLOGY

The roots of a new green revolution

(2010) Griet Den Herder et al.   TRENDS IN PLANT SCIENCE

Growth of axile and lateral roots of maize: I development of a phenotying platform

(2009) A. Hund et al.   PLANT AND SOIL