Case studies

First image
Second image
Third image

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce convallis dui ac vestibulum blandit. Vestibulum ac eros aliquam, tincidunt ligula ac, pellentesque odio. Suspendisse potenti. Praesent vitae mi blandit, consectetur augue sit amet, malesuada purus. Nullam ex massa, porta et diam ut, tincidunt hendrerit massa. Sed lobortis dapibus neque, ultrices vulputate justo ultrices id. Sed ac faucibus nibh.

Third image
Case study test
Icon
ORGANIC

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce convallis dui ac vestibulum blandit. Vestibulum ac eros aliquam, tincidunt ligula ac, pellentesque odio.

Third image
Case study 6
Icon
organic

Over the whole site we have planted many different species of fruit, nut, timber and browse species, but are still not really sure after only 5 years which will truly thrive in our soil and microclimate.

Our almond trees are growing more vigorously than I could have dreamed of, though have yet to produce significant crop. The quince trees on the other hand, which I have previously grown with no problem, are looking pathetic.

Third image
case study 7
Icon
test

test

Third image
case study 9
Icon
Waste Food

Around a 100 livestock farmers from across the UK will work with the project group, involved in testing, developing and demonstrating this new technology. To get the best results, the project is working with farmers from a variety of systems - organic, regenerative and conventional, a selection of whom will be part of on-farm field labs and workshops.

Third image
Case study 10
Icon
Waste Food

Improved pasture management can help make your farm run more efficiently, be more productive and support all-important soil health. By developing effective tools to monitor pasture at a field scale, you can reduce inputs, waste and reliance on concentrated feeds. Current methods can be time consuming and do not always reflect field quality or future growth accurately. PASTORAL’s goal is to provide accurate data and biomass monitoring in a format which can save time.