Development of decentralized applications (dapps) and smart contract based governance workflows for digital agriculture analytics

Sightline Innovation（SI）是一家加拿大私营公司，拥有专利数据信任技术和应用人工智能（AI）平台，使企业能够控制对其数据的访问，从数据中获取价值，并从多个业务部门的现有数据源中实时获得更好的洞察力。数字农业领域（使用电子数据支持农业供应链）最近产生了许多不完善的数据支持解决方案，以降低成本，提高农业产量和抗病能力。然而，对知识产权（IP）和数据所有权的担忧混淆了公司，学术界和农场之间的合作。Sightline Innovation将与Seneca的软件设计与数据科学学院（SDDS）合作开发工具，通过开发基于区块链的治理结构来为数字农业利益相关者提供资金，管理，货币化，许可和分配价值，同时保护他们的数据和知识产权，从而促进协作，数字农业项目。在Tanvir Alam教授的带领下，Seneca数据科学和分析荣誉学士课程的学生研究助理（RA）将运用他们的学术知识和技能来了解数字农业领域，并开发一个区块链支持的访问系统，以与Sightline的“DTaaS”数据信任平台集成。最终，Sightline将利用本项目过程中开发的系统来吸引客户并在数字农业领域有效使用DTaaS。

Sightline Innovation (SI) is a privately-held Canadian company with patented, data trust technology and anapplied artificial intelligence (AI) platform that enables enterprises to control access to their data, derive value from data, and gain better insight from existing data sources in real-time, across multiple business units. The field of digital agriculture (the use of electronic data to support the agriculture supply chain) has recentlyproduced a number of imperfect, data-backed solutions to reducing costs and improving agricultural yields and disease resistance. However, concerns about intellectual property (IP) and data ownership confoundcollaboration between companies, academics, and farms. Sightline Innovation will partner with Seneca'sSchool of Software Design & Data Science (SDDS) to develop tools, which will facilitate collaborative, digitalagriculture projects, by developing a blockchain-based governance structure to fund, manage, monetize,license, and distribute value to digital agriculture stakeholders, while protecting their data and IP. Led byProfessor Tanvir Alam, student Research Assistants (RAs) from Seneca's Honours Bachelor of Data Science and Analytics program will apply their academic knowledge and skills to understand the digital agriculturefield and develop a blockchain-backed access system to integrate with Sightline's 'DTaaS' data trust platform. Ultimately, Sightline will utilize the system developed in the course of this project to attract customers andenable use of DTaaS in the digital agriculture field.