Warwick, U.K., 13th September 2021 – Telent has successfully enhanced its innovative SOLO application, with Machine Learning (ML) technology, enabling it to build ultra-fast broadband infrastructure projects at scale and with predictable quality by providing digital information and photo evidence of completed work packages. The SOLO technology uses images captured via smart phones to validate job completion. The work is inspected and verified via the images with the support of ML technology, which are then stored for future reference. This software will ensure Telent can increase visibility of building sites,…
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Dairy farmers to benefit from satellite data used to monitor and predict pasture productivity and quality
Harwell, Oxfordshire, 29th June, 2017. Rezatec, in conjunction with the University of Reading, is delivering its PASQUAL (“Monitoring and prediction of PASture QUALity and productivity from satellites”) project to develop an Earth Observation satellite based pasture farming intelligence tool. Through the analysis of multiple remote sensing satellite data sources (visible and radar) and meteorological data, in combination with the University of Reading’s detailed modelling and data-assimilation techniques, the tool will enable dairy farmers to monitor and predict pasture productivity and quality. Trials are currently being conducted by the University of…
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