The Earlham Institute is developing new ways to analyse and manage large biological datasets. By making multiple measurements of crops through imagery, biochemical data and genetic data it is able to predict which genes need to be selected to increase yields or protect against crop disease.
Virtual models of the real world are helping farmers, growers and breeders to understand the complex interconnections between crop, environment and markets.
To understand which flowers are important for bees, scientists from the Earlham Institute (EI), with the University of East Anglia (UEA), have developed a new method to rapidly identify the sources of bee pollen.
As part of Agri-Tech Week 2018 Earlham Institute presented a three-part workshop featuring Carousel Activities of live demonstrations, laboratory tours and finished with transforming food
A major hurdle to the uptake of research into new wheat varieties is that breeders do not have the specialist bioinformatics training required to utilise the latest
Senior Scientific Programmer, Christopher Applegate, is a member of the Plant Phenomics Group at the Earlham Institute, developing image processing, machine learning, analytics algorithms and
Daniel Reynolds is a Plant Phenomics Scientific Programmer at the Earlham Institute. He is developing and improving CropQuant, by refining the crop monitoring work station,
8 November 2016 Earlham Institute, Norwich Research Park, Norwich, NR4 7UG This event has now passed. Find out how next generation sequencing technologies and high
Our latest venture for the Young Innovator’s Forum took us to TGAC, or The Genome Analysis Centre (TGAC) (now known as Earlham Institute) on the
