Agriculture remains a pillar in the development of developing countries. Up to now, the sector is dominated by traditional techniques using rudimentary tools. Despite the current trends of AI in Agriculture, their application remains limited, due mainly to... the lack of datasets.
The aim of this session is to provide a platform of discussion on the topic in order to gather ideas on how the limitation can be overcome.
Regardless of the number of attendees, we have a specific programme to follow. But at the same time, we want to give people different contents according to their needs, so we plan to organise a general knowledge session on sustainable agriculture. That is why we plan to have a session about general knowledge about AI for Sustainable agriculture. In this section (20 minutes) we will present the state-of-the art, advantages and challenges of AI in agriculture for developing countries. For the second session (35 minutes) on solutions, we will organise in parallel two sessions according to the interests of the participants (one session for academics, and the second for investors, generalists, etc.). This will facilitate interaction (question-and-answer session) during the event. The last session (5 minutes) will focus on sharing contacts and, above all, on the different ways to stay in touch.
What is the goal and/or outcome of your session?:We will discuss some problems faced by farmers in developing countries and investigate how those problems can be solved using artificial intelligence. However, the effective use of AI in the current context remains a challenge because of the lack of datasets. The aim of the workshop is to launch a platform for discussion on how to solve lack of datasets and how to prepare for AI in this field. At the end of this workshop, participants will be aware of the present situation and informed on how the situation can be mitigated depending on their geographical location and their interests. The workshop will also present the potential risks of bias that AI solutions may present, the consequences that they could have on farmers in their field of activities, and how to limit these biases in the field of agriculture.
We're hoping that many efforts and discussions will continue after Mozfest. Share any ideas you already have for how to continue the work from your session.:The aim of the workshop is to launch a platform of discussion and knowledge sharing on AI in Agriculture. At the end of the session, we will periodically organise events (webinars and workshops) to continue discussing the problem and present other solutions and concrete projects. Organizing these different events will also give us the opportunity to voice the human and ecological risks of AI in agriculture and the interest of thinking sustainability. Through various platforms, we also intend to promote more discussion around “Ethics” in the AI community in developing countries. We are also open to mentor anyone who wants to get involved or invest in agriculture in decision making and guidance.
Research Director, Digital Innovations and Internet Rights
Senior Lecturer, University of Ngaoundere
