The Processors and Growers Research Organisation (PGRO) has unveiled a novel forecasting tool aimed at optimizing the harvest time for UK peas. This innovation, which emerged from over four years of development, leverages remote sensing, machine learning, and historical yield data to enhance harvest predictions from two to ten days in advance, while also forecasting yield sizes.
Leah Howells, PGRO's data scientist, highlighted the machine learning component's capability to dissect extensive data sets for trends that refine future predictions.
The tool, updated daily, consolidates crucial information into a single visual interface, factoring in pea variety characteristics to boost prediction accuracy. It aspires to streamline the harvesting process by minimizing manual maturity checks, thereby potentially saving the industry £30m if widely adopted. Its development was motivated by the challenges of current heat-based prediction methods, which are becoming unreliable due to climate change. Available on a subscription basis, this tool represents PGRO's commitment to supporting the industry through technological advancements.
Source: httpsfarminguk.com