REmote sensing and Decision support for Apple tree Precision management, Production and globaL tracEability (RED-APPLE)
60,731
2019-03-01 to 2022-03-31
Collaborative R&D
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
Blockchain Smart Contract Data Privacy, Speed of Access and Data Scalability
67,000
2016-04-01 to 2016-12-31
GRD Proof of Concept
A key feature of Blockchain smart contract technology is that all data is visible to all
participants in the network. This project addresses the need of participants to provide data
visibility only to intended recipients, whilst keeping the data hidden from other network
participants, even though they all hold a copy of the data. The solution requires no sharing of
keys or secrets off-chain. In addition, data is pre-decrypted into a local smart cache, providing
each participant fast access to the smart contract data they are permissioned to see. Finally,
this project will provide a solution for scalable underlying blockchain data storage. All of this
will be implemented, packaged and presented for the sample use case.
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