The first paradigm of plant breeding involves direct selection-based phenotypic observation,
followed by predictive breeding using statistical models for quantitative traits constructed …

Investment in technological research is imperative to stimulate the development of
sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and …

Food safety has emerged as a high-urgency matter for sustainable agricultural production.
Toxic metal contamination of soil and water significantly affects agricultural productivity …

Optical sensors and sensing-based phenoty** techniques have become mainstream
approaches in high-throughput phenoty** for improving trait selection and genetic gains …

With growing populations and pressing environmental problems, future economies will be
increasingly plant-based. Now is the time to reimagine plant science as a critical component …

Key message Safeguarding crop yields in a changing climate requires bioinformatics
advances in harnessing data from vast phenomics and genomics datasets to translate …

Artificial intelligence (AI) has emerged as a fundamental component of global agricultural
research that is poised to impact on many aspects of plant science. In digital phenomics, AI …

Understanding the function of genes within staple crops will accelerate crop improvement by
allowing targeted breeding approaches. Despite their importance, a lack of genomic …

Reproducible computational research (RCR) is the keystone of the scientific method for in
silico analyses, packaging the transformation of raw data to published results. In addition to …

The BioSamples database at EMBL-EBI is the central institutional repository for sample
metadata storage and connection to EMBL-EBI archives and other resources. The technical …