How should aggressive plant pathogens be reported? The Sainsbury Laboratory has collaborated on a project that discovered the origins of the virulent fungal disease Wheat Blast – the findings have led to the development of a new code of ethics for reporting diseases.
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.
GRAVITY Challenge Innovator Briefing on 22nd July will provide an overview of the GRAVITY Challenge which provides unique access to earth observation and satellite datasets for those passionate about creating neat solutions to big problems
Consus Fresh Solutions, developers of intelligent audit systems for packhouses, has announced it is to merge with the Affinitus GroupConsus
Producers have dedicated QA staff to check daily for quality, temperature, labelling, and packaging. In addition they need to respond within hours to unannounced audits, and these create a huge overhead for producers. The Consus system reduces the burden of audits and improves productivity.
Do you want to know the outcome of the 2018 harvest? Map of Agriculture has already made its predictions across multiple crop types, using numerous
A deluge of rain during the 2017 harvest slashed profits overnight – wheat for milling and barley for malting were downgraded and producers incurred additional
To survive in a complex world humans have evolved the skill to extract information quickly from patterns. This ability is exploited by infographics, and After the flood is now taking this type of data visualisation to a new dimension with artificial intelligence.
Farming Data supports subsistence farmers by creating a market for surplus.
Fresh vegetables that are surplus to orders are frequently left to rot in the field, as the cost of harvesting without a known buyer is too great
DataGranary aims to pay farmers for their data and then collect, clean, aggregate and sell it in a format that is beneficial to others in the agri-food value chain.