Advances in plant phenotyping for more sustainable crop production

Part 1 The development of phenotyping as a research field

1.Origins and drivers of crop phenotyping: Roland Pieruschka and Ulrich Schurr, Institute for Bio- and Geosciences (IBG), IBG-2: Plant Sciences, Forschungszentrum J¼lich, Germany;

2.The evolution of trait selection in breeding: from seeing to remote sensing: Matthew Reynolds et al.

Part 2 Sensor types

3.Advances in optical analysis for crop phenotyping: Jian Jin and Tanzeel U. Rehman, Purdue University, USA; and Qin Zhang, Washington State University, USA;

4.Advances in the use of thermography in crop phenotyping: David M. Deery, CSIRO Agriculture and Food, Australia;

5.Advances in the use of X-ray computed tomography in crop phenotyping: Stefan Gerth, Norman Uhlmann and Michael Salamon, Fraunhofer EZRT, Germany;

Part 3 Carrier/delivery systems

6.Field robots for plant phenotyping: Rick van de Zedde, Wageningen University and Research, The Netherlands;

7.Advances in the use of aerial systems/UAVs for crop phenotyping as examples for lean, low-cost, high-throughput field crop phenotyping systems: Helge Aasen, Institute of Agricultural Sciences, ETH Zurich and Remote Sensing Team, Division of Agroecology and Environment, Agroscope, Switzerland; and Lukas Roth, Institute of Agricultural Sciences, ETH Zurich, Switzerland;

Part 4 Data analysis

8.Meeting computer vision and machine learning challenges in crop phenotyping: Hanno Scharr et al.;

9.Digital phenotyping and genotype-to-phenotype(G2P) models to predict complex traits in cereal crops: Nicolas Virlet, Rothamsted Research, UK; Danilo H. Lyra, Biometrics and Breeding Research, BASF, Belgium; and Malcolm J. Hawkesford, Rothamsted Research, UK;

10.The role of crop growth models in crop improvement: integrating phenomics, envirotyping and genomic prediction: Jana Kholov¡ et al.;

Part 5 Case studies

11.Using phenotyping techniques to analyse crop functionality and photosynthesis: Eva Rosenqvist, University of Copenhagen, Denmark;

12.Using phenotyping techniques to predict and model grain yield: translating phenotyping into genetic gain: Thomas Vatter and Jos© L. Araus, University of Barcelona and AGROTECNIO (Center for Research in Agrotechnology), Spain;

13.Automated assessment of plant diseases and traits by sensors: how can digital technologies support smart farming and plant breeding?: Anne-Katrin Mahlein et al.;