companies’ strategic views of the sector and how they are responding to the needs of the market segment. As mentioned above, the four categories of technology from the 2021 report have been used again here to ensure continuity of the analytical process. Taking a further step, however, these technologies are now also mapped to their possible impacts in driving financial inclusion, enhancing sustainability in farm activities and increasing efficiency in the post-harvest value chain (see Table 1). Impact areas and mapping of use cases TABLE 1 Impact areas Definition Use cases Inclusivity Increasing farmers’ access to finance (credit, insurance and social security) to enhance resilience – especially women farmers and smallholders –Distributed ledger-based index insurance Sustainability Increasing sustainability in agricultural production through optimal use of resources and developing resilience to climate change and other risks; focusing on advice (weather, sowing window, pest infestation, etc.), efficient use of inputs (fertilizers, water, etc.) and use of robotics –Gene editing of seeds using predictive AI tools –AI-based soil testing –AI tools to predict optimum sowing period –AR in crop planning –AI and AR for crop management, crop advice, pest, plant diseases and nutrients –AI for weather prediction –Robotics Efficiency Improving post-harvest supply chains; focusing on reducing crop loss, demand- supply asymmetry and enhanced access to markets –Yield prediction –Traceability using blockchain –IoT-enabled warehouses –Smart logistic solutions –Smart packaging Source: World Economic Forum It is important to highlight that this report is an attempt to map the technologies and not to endorse or promote one technology over another. The objective is to provide an overview and allow the reader to decide whether to follow up on any particular area of interest in greater detail. Agritech: Shaping Agriculture in Emerging Economies, Today and Tomorrow 7

Agritech 2024