REmote sensing and Decision support for Apple tree Precision management, Production and globaL tracEability (RED-APPLE)
Lead Participant:
FERA SCIENCE LIMITED
Abstract
Red Apple is looking to develop and implement technological innovation in the China and UK apple production
systems to increase yield and quality as well as reduce supply chain losses. The project is testing two
technologies: 1) spectral cameras that can identify plant stresses due to, for example, water or nutrient
imbalances or pest and disease; 2) traceability systems that can transfer appropriate information to
stakeholders along the supply chain to maintain higher quality levels and reduce losses. The findings from the
first technology are expected to help growers to achieve a better orchard management around pruning,
blossom management and harvest dates, which will eventually increase yields and quality in a sustainable
manner, reducing inefficient inputs of fertiliser and pesticides. The second will ensure not only the reduced
losses but also that quality attributes can be linked to particular producers as well as production techniques,
management of the crop, and harvest dates. Thus the two parts of the project are interlinked
systems to increase yield and quality as well as reduce supply chain losses. The project is testing two
technologies: 1) spectral cameras that can identify plant stresses due to, for example, water or nutrient
imbalances or pest and disease; 2) traceability systems that can transfer appropriate information to
stakeholders along the supply chain to maintain higher quality levels and reduce losses. The findings from the
first technology are expected to help growers to achieve a better orchard management around pruning,
blossom management and harvest dates, which will eventually increase yields and quality in a sustainable
manner, reducing inefficient inputs of fertiliser and pesticides. The second will ensure not only the reduced
losses but also that quality attributes can be linked to particular producers as well as production techniques,
management of the crop, and harvest dates. Thus the two parts of the project are interlinked
Lead Participant | Project Cost | Grant Offer |
---|---|---|
FERA SCIENCE LIMITED | £156,205 | £ 78,103 |
  | ||
Participant |
||
PRECISION DECISIONS LIMITED | £168,050 | £ 117,635 |
APPLIED BLOCKCHAIN LTD | £86,759 | £ 60,731 |
OPTISENSE LIMITED | £56,828 | £ 39,780 |
NIGEL KITNEY FARM MANAGEMENT SERVICES | ||
RSK ADAS LIMITED | £31,043 | £ 15,522 |
NIGEL KITNEY FARM MANAGEMENT SERVICE | £21,844 | £ 15,291 |
INNOVATE UK |
People |
ORCID iD |
Christina Steveni (Project Manager) |