Digital Agriculture: How diffusion of innovations occur from planning to adoption

数字农业：创新如何从规划到采用的传播-了解数字技术、数据科学和遥感如何导致农业创新的转移。如果地球要实现可持续发展目标（sdg），就需要新的技术和方法。应对当地趋势（产量下降）和冲击（病虫害、疾病、不稳定气候）的政策和方法需要利用当地的土著知识、数据和模型共同制定。在越来越精细的空间和时间分辨率下需要这些数据。决策者和科学家需要能够向农民提供有关气候模型、新的耕作方法和种子品种的预期影响的重要信息。然而，农民需要能够试用这些方法，并就可能导致某些做法和种子不合适的当地环境问题反馈信息。2018年，英国国际发展部启动了数字战略，以提高数字技术促进发展的能力。该项目旨在为这一战略做出贡献，并将利用案例合作伙伴（附录2）与印度尼西亚当地组织以及苏格兰DFID数据科学校园的独特联系，探索如何分享农业实践的创新，共同创造关于如何最好地应对不稳定气候的新知识。链接到EPSRC的职权范围：该项目属于生活与环境变化主题（LWEC）。它将涉及跨学科研究，研究如何开发信息和通信技术，以创建数据和信息的双向管道，以应对未来的气候和环境变化，这些变化给农村农民和决策者带来挑战。潜在的研究问题：目前农业实践的创新如何在利益相关者之间转移？在农业中引入、采用和扩大数字工具的过程是什么？&在农业中引入数字工具所涉及的挑战是什么？在农业中采用数字工具所涉及的社会文化动态是什么？如何利用地理空间技术和大数据来发展创新的传播实践？方法：数字农业正在迅速兴起，但它是关于技术，还是过程，谁受益，谁落后？我们如何以包容的方式采用正确的技术？NIRAS/LTS数据期货中心和UoE的联合项目将回答这些问题。学生将与导师团队合作，并与CASE合作伙伴和印度尼西亚的数据期货中心合作，确定重点关注的地点、农业系统和创新。该项目将涉及农业创新的跨学科研究，其中将涉及当地土著知识系统、精准农业、数据科学和遥感。重点将是确定可用于帮助共同创造信息的技术，而不是自上而下或自下而上的线性方法。

Digital Agriculture: How diffusion of innovations occur from planning to adoption - Understanding how digital technologies, data science and remote sensing can lead to the transfer of agricultural innovation.New technologies and approaches are required if the planet is to achieve the Sustainable Development Goals (SDGs). Policies and approaches to dealing with local trends (declining yields) and shocks (pests, diseases, erratic climate) need to be co-created using local indigenous knowledge, data and models. This data is needed at increasingly fine spatial and temporal resolutions. Decision makers and scientists need to be able to feed important information to farmers on expected impacts from climate models, new farming practices and seed varieties. However, farmers need to be able to trial these and feed-back information on local contextual issues that will render some practices and seeds inappropriate. In 2018, DFID launched its Digital Strategy to increase the capabilities of digital technology for development. This project seeks to contribute to this strategy and will utilise the unique connections that the CASE Partner (Appendix 2) has with local organisations in Indonesia as well as the DFID Data Science Campus in Scotland to explore how innovations in agricultural practices can be shared to co-create new knowledge on how to best deal with erratic climate. Link to EPSRC remit: the project falls under the Living with Environmental Change Theme (LWEC). It will involve interdisciplinary research on how information and communications technologies can be developed to create a two way pipeline of data and information to deal with future climatic and environmental changes that present challenges for rural farmers and decision makers.Potential research questions:How are innovations in agricultural practices currently transferred between stakeholders?What are the processes involved in introduction, adoption and scaling up of digital tools in agriculture? & what are the challenges involved in introducing digital tools in agriculture?What are the socio-cultural dynamics involved in adoption of digital tools in agriculture?How geospatial techniques and big data can be used to develop innovative diffusion practices?Methodology: Digital Agriculture is fast emerging, but is it about the technology, or the processes and who benefits and who gets left behind? How do we adopt the right technologies in an inclusive manner? This joint project between NIRAS/LTS Data Futures Hub and UoE will answer these questions. The student will identify with the supervisor team and in collaboration with the CASE partners and the data Futures Hub in Indonesia which locations, agricultural system(s) and innovations on which to focus. The project will involve interdisciplinary research into agricultural innovations which will involve local indigenous knowledge systems, precision agriculture, data science and remote sensing. The focus will be on identifying technologies that can be implemented to help the co-creation of information rather than a linear top-down or bottom-up approach.