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 Reading over a two-year period, initially at controlled research plots, and are now being extended to operational dairy farms. This approach is driving iterative development of models and data products, which will be delivered to users through Rezatec’s geospatial web-portal platform. The platform will be upgraded and extended to support the required data streams and implement the bespoke grass growth models to create an innovative decision support tool for dairy farmers.

Alternative technologies and R&D strategies in this area are scarce, but those that are emerging generally focus on empirical vegetation indices, which can lead to unreliable and inaccurate estimates of PPQ; our proposed approach aims to offer a much more reliable product. Furthermore, most competitors using vegetation indices are focusing on crops, rather than grasslands, despite the fact that dairy production world-wide is 700 million tonnes.

“The proposed work and selected approach will ensure an accelerated route to market of the research currently being conducted by those at the forefront of remote sensing and pasture research, including colleagues at the University’s Centre for Dairy Research (CEDAR), in strong collaboration with practitioners in the dairy farm industry,” commented Professor Anne Verhoef, Principal Investigator of PASQUAL, Department of Geography and Environmental Science, the University of Reading.

This project is innovative both commercially and technically on many fronts. It pushes boundaries beyond current leading-edge world science and technology in the area of obtaining near real time estimates of grass crop productivity and quality. The University of Reading will develop a new model for predicting the productivity and quality of grasslands. This model will be informed by a broad range of data for both model development, calibration and verification. In addition to established local data (farm management/field data, weather data), the model will have direct access to multiple remote sensing satellite data sources including radar data which is well suited to monitoring tasks in cloud covered regions, such as the UK.

Dr Andrew Carrel, Chief Technology Officer, Rezatec added, “The outputs from the data modelling process will be combined with other data on Rezatec’s platform, where further processing will take place using machine learning and data mining techniques to add the predictive analysis that will make the tool highly valuable for the farming end users.”

Rezatec’s platform is designed to deliver high performance data visualization, analytics and decision support to multiple end users, and is highly scalable. It will facilitate the broad use of the farming intelligence tools and services within the UK, Europe and across the globe.

Source: Rezatec

Illustration Photo: cows (Public Domain from Pixabay.com)

Read more
Loading...

Comments

No comments to display.

Related posts

SET Award 2019: Call for applications for top innovators in the energy transition

The SET initiative invites start-ups around the world to present their business ideas.
Application Deadline in 4 months

EU's Call for Proposals: ERANETs in agri-food

The agri-food sector needs to take more advantage of the potential of digital technologies. Relevant technologies may include Internet of Things, Artificial Intelligence, Big Data technologies, remote and localised sensing.
Application Deadline in 3 months

EU's Call for Proposals: Integrated storage systems for residential buildings

The combination of renewable energy with storage is key to support the next generation of very low or plus energy houses. Such storage equipment will be exploited first and mostly in the residential buildings (existing and new ones).
Application Deadline in 4 months

3D visualization of GIS data in coconut plantation management: challenges and opportunities

The aim of this paper is to reveal the existing challenges and find opportunities of online 3D visualization of GIS data in coconut plantation management.

Construction of an in-situ smart device that measures some basic environmental factors for agricultural monitoring

In this work, a portable and user friendly smart Automated Weather Station (AWS) was constructed. The device that is programmed with Arduino UNO is capable of measuring the temperature, relative humidity and moisture content of the soil.

EU's action plan to develop a sustainable and circular bioeconomy

The bioeconomy can turn algae into fuel, recycle plastic, convert waste into new furniture or clothing or transform industrial by-products into bio-based fertilisers.

Finnish pilot develops a new solution for sustainable forestry

VTT Technical Research Centre of Finland Ltd, the Finnish Forest Centre and MHG Systems Oy Ltd are among the organisations that have joined forces to accelerate European bioeconomy with the help of big data technologies based on aerial and satellite images and on open forest data provided by Finnish Forest Centre.

A Close Look At The Latest Research Trends Within The Dental Treatment Consumables Market

A dental implant is a surgical component that is connected to the bone of the jaw or skull. It is used to provide support to crown, bridge, denture or act as an orthodontic anchor. The process involves the use of materials, such as titanium to form strong bond between bones. This process is known as Osseointegration. The time associated with osseointegration is case dependent. Dentists use CAD/CAM technology to understand the positioning and alignment of dental implants.

Healthcare Robotics Digital Innovation Hub

Robotics has the potential to revolutionise the field of healthcare. In hospitals, surgical robots allow for minimally invasive surgery, with increased precision.