Sarah Morgan, Postdoctoral Scientist at Rothamsted Research, is currently leading the Cell Grazing project which aims to evaluate the environmental, economic, and social sustainability of traditional set-stocked grazing in comparison to a management intensive grazing system known as ‘techno-grazing’.
Dr Shaun Coutts, Senior Lecturer at LIAT discusses a series of projects experimenting with the use of machine vision to improve the accuracy of inter row cultivation for controlling blackgrass in cereal crops.
Ruben Sakrabani, Associate Professor in Soil Chemistry, Cranfield Soil and Agrifood Institute, is working to validate carbon capture fertilisers, in which waste organic matter is used to fix waste CO2 to create a high-carbon organic alternative to industrial fertiliser.
Time and place are two key factors in precision agriculture and there are some significant developments happening in Earth observation and connectivity that will be enablers of a new generation of agri-tech.
James Fortune, Final year PhD student at University of Hertfordshire discusses how warmer autumns will impact inter-species interactions in diseases of oil seed rape
John Stamford – Plant physiology post-doctoral researcher at the University of Essex
Marwa Mahmoud, Department of Computer Science, University of Cambridge, talks about applying her expertise in computer vision and machine learning to livestock, in particular to provide early warning of contagious disease in sheep.
REAP is today – as our keynote Jan-Erik Petersen says: “We already know what we have to do, we don’t need to wait for the perfect data. It’s a question of making changes to policy, of consumers making choices, and of farmers being supported for environment-friendly agriculture.
As a Technical Agronomist at Dyson Farming, Ed is charged with evaluating and implementing new technologies on-farm, and managing data collected across the farm. This includes carbon reporting.
Weed mapping and disease prediction is achieved using data gained from multiple sources and is layered into Omega Crop’s proprietary crop model resulting in either a yield loss event prediction or diagnosis; the findings are delivered to the agronomist or farmer as actionable intelligence.
Professor Antony Dodd, Research Group Leader at the John Innes Centre, leads a team conducting fundamental research to understand the processes that allow plants to measure the time of day; an area of study known as chronobiology.
Prepare for the business trip of your life, taking in some of most exciting agri-tech clusters across the globe. Meet in the departure lounge of the REAP International Café to gain your boarding pass and join your guides.