Transforming Agriculture and Food Systems through Data-driven Digital Agriculture: Learning from Practitioners
Virtual Blended

Transforming Agriculture and Food Systems through Data-driven Digital Agriculture: Learning from Practitioners

Digital and data-driven innovations, applications, and platforms are promising to overcome long-standing market and policy failures and accelerate the transformation of the agriculture and food system. In many countries, digital and data-driven innovations and applications in agriculture and food systems emerge and deploy. They range from full-fledge digital ecosystem building to more focused components such as, digital advisory and E-extension, Big Data for e-market platform, E-voucher, Digitalization of value chain data, farmers digital registry, fintech, weather advisory, digital services that increase farmers' access IoT based mechanization, solar-powered irrigation, precision agriculture, and food safety and traceability. They help to increase farm efficiency, support more equitable access to markets across the value chain and improve environmental sustainability in the agrifood sector. Digital technologies are becoming a prominent tool within The World Bank operations, with examples of innovations and applications in all aspects of agriculture and the food value chain. Currently, The World Bank has 53 lending investment projects in 36 countries with 1.15 billion USD investments in Data and Digital Components related to agriculture and food systems, influencing an investment of about 10.7 billion USD.

In this context, it is critical that we build awareness and share knowledge across World Bank staff, interested global audience, and policymakers about how data-driven and digital technologies can be a tool to support a range of operations, but also about the new type of operations needed to support the development of a thriving digital ecosystem for the agriculture and food sectors.

This virtual knowledge exchange is intended to provide informative examples and discussion regarding innovative solutions, business models, and approaches in Data-driven Digital Agriculture. The information presented and examples highlighted are aimed to help policymakers and practitioners consider how they can assess Agriculture and Food Systems project options and adopt decisions tailored to their country’s circumstances and needs.

Objectives of the event 

  • Understand the importance of leveraging Digital Agriculture innovations and new business models for efficiency, equity, and environmental sustainability (EEE) in Agriculture and Food Systems.
  • Acquire skills to design and implement projects with Data-driven Digital Agriculture components.
  • Develop up-to-date knowledge on the key Data-driven Digital Agriculture technology options.
  • Assess policy and investment options available for building a Data-driven Digital Agriculture ecosystem.

Target Audience

1. Government leadership and special officers like Chief Technology Officers, Innovation Officers, and their staff. 2. World Bank Staff and Consultant who are part of Project management Units (PMUs) and assisting the implementation of the projects. 3. Project partners, Private sectors, and Research Institutions that are creating innovations or supporting the projects. 4. Financial institutions and technical service providers who are supporting the projects.

Join the Discussion

Frank E Paco

- Nov 28, 2022

This was a most informative course.  Undoubtedly, it exposed me to many of the new innovative approaches that are employed using data to develop agriculture and food systems.

It was definitely a worthwhile undertaking!

Shubham

- Nov 1, 2022
I am very happy to participate in this training. I learn and updated much valuable knowledge and possible strategies to use data-driven digital technology to transform our agriculture. Several examples presented during live sessions are most valuable to choose an appropriate model for our situations.

Dr. Aadik

- Oct 31, 2022
The time spent is worth and I'm happy to learned new things. Looking forword for new robotics trainings.

Dienami

- Oct 29, 2022
The time spent on this training is worth every bit of it, looking forward to participating in subsequent trainings/events.

Rajendra

- Oct 28, 2022
I am very happy to participate in this training. I learn and updated much valuable knowledge and possible strategies to use data-driven digital technology to transform our agriculture. Several examples presented during live sessions are most valuable to choose an appropriate model for our situations. Thank you very much WBG for this opportunity.

Kossi

- Oct 27, 2022
This learning was full and fantastic. I recommande it to all the digital agriculture expect to know more about the news in many others countries.

Gariba

- Oct 22, 2022
Hello. I teach animal production subjects at the University of Technology in Papua New Guinea and I hope to update my knowledge in this area of digital agriculture. I look forward to a good learning experience with you all

Olajire

- Oct 19, 2022
I look forward to a good learning session

Muzamal

- Oct 16, 2022
This learning process is very helping and good for me to strengthen my skills. Thank you

Shubham

- Oct 16, 2022
Looking forward to an informative training, update information
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