The project team coordinates the expertise of three UK partners: Ant Data Ltd (AD), Velcourt Ltd (VEL) and the University of Sheffield (SU); and three China partners: Hefei Institutes of Physical Science (Institute of Intelligent Machines), CAS (CAS-IIM), Anhui Zhongke Intelligent Sensing Technology Ltd (ZK-IS), and Hebi Jiaduoke Industrial Service Ltd (HBJD).

There are 7 work packages (WP) which are designed to collectively achieve the project objectives. Each WP will deal with a specific aspect and potential outcome for the project. The general aim of this project is to build a farmer-oriented interoperable mobile-cloud system to support efficient and effective sustainable fertiliser management in China. The outcome of this research will be evaluated through joint experiments with the end users, leading to conclusions of the impact of mobile smart farming technologies on future agriculture in China.

WP1: Project management (M1-M24): the objectives of this WP is the overall management of the project, including: 1) To establish management committees and guidelines for their operation. 2) To ensure that the project attains its goals effectively on time. 3) To the specifications contained within the contract, and within the budget defined. 4) To ensure timely submission of all contractual deliverables. 5) To organize project meetings to confirm and enforce quality procedures.

WP2: User requirement and the state-of-the-art overview (M1-M18): Within this work package the specific needs and requirements of farmer related fertiliser activities and its associated data will be identified with the end-users and stakeholders.

WP3: Design of Initial System Prototype (M3-M12): This WP will provide an initial prototype design of the intelligent mobile-cloud system including major functionalities, key technical components and acquisition of large data set for fertiliser management.

WP4: Data Fusion and Visualisation Algorithms Investigation (M4-M18): This WP is to develop techniques that optimise deep learning-based data fusion and visualisation algorithms for effective aggregating personal farmer daily fertiliser data and environmental information.

WP5: System Integration (M9-M24): It will develop and implement the overall system with defined components, including mobile application for farmer fertiliser activities monitoring, data fusion and visualisation algorithms, etc for sustainable fertiliser management.

WP6: System Evaluation (M18-M24): This WP will conduct short-term trials by participants and end-users for testing the technical capability of the system and the potential for social impact.

WP7: Business exploitation (M18-M24): The results of the project will be exploited through a range of activities in both academic and industrial dimensions, leading to public acceptance, further research opportunities and even business avenues.