The goal of Phase 1, was to identify opportunities for Ontario to take a leading role in developing strategy, vision and necessary infrastructure to facilitate and accelerate the validation, adoption and innovation of Precision Agri-Food Technologies (PAT).
Phase 1 of this study is complete and studied the following aspects of PAT in Ontario.
- We must increase rural and academic IT capacity
- Create infrastructure to facilitate access (academic and otherwise) and collaborations with big data sets
- Identify, create, customize and standardize software tools of suitable performance to handle the ‘4 V’s’ of data sets (volume, variety, velocity and veracity).
- Establish Ontario Precision Agri-Food (OPAF) as a non-profit institute dedicated to the facilitation of advanced PAT capability within Ontario based on an organizational and collaborative model similar to models employed by LEI Wageningen UR. OPAF will act as a pilot for a broader national program.
- Employ cutting edge data management tools and concepts in the scoping and definition of OPAF pilot projects to ensure that a hybrid data environment platform developed is and will continue to be relevant within the rapidly evolving global ICT landscape. Such infrastructure will capture, store and enable appropriate access to large data sets to multiple stakeholders.
- Include a focus on the incubation and validation of PAT technology that can be marketed globally. Focus on ROI for various stakeholders and ICT standards that enable/accelerate further innovation, collaboration and amplification of data value for all users.
- A facilitator/integrator for the Precision Agri-food sector is a critical need for an Ontario initiative for the long-term and multi-stakeholder benefit of big data implementations.
- Support for and development of multi-disciplinary teams to address limitations outlined in R&D section below.
- Establish an independent organization dedicated to the facilitation and guidance for PAT implementations and innovation.
- Develop protocols and standards relating to data, metadata, web services and data exchange for the PAT sector.
- Adopt a service oriented architecture strategy to best enable appropriate and multiple stakeholder access to data.
- Leverage best practices in data privacy and security. Identity and trust models as well as encryption should be developed where necessary. User training must be available.
- Enable broad sensor webs and use of cloud services (third party audits may be necessary).