Shaping the Deep Tech Revolution in Agriculture 2025

A detailed look at promising agri deep-tech domains3 Agri deep-tech use cases typically draw on distinct technology domains, each with a unique applicability and transformative potential. Several technology domains converge to produce agri deep-tech use cases that could unlock breakthroughs in the sector. This section explores seven such domains. The Annexe details the methodology for shortlisting these domains. GenAI is a subset of AI that generates new and original data/content by analysing pre-existing datasets.17 The generated content can take various forms, including text, video and audio, which are created in response to a prompt/query. GenAI has farmer-facing use cases, including customized advice for crop management, generation of a hyperlocal package of practices or predicting market prices. When combined with natural language processing, GenAI can interface effectively with farmers, providing quick and scientific resolutions to queries, and can also facilitate the development of autonomous agentic AI systems for farm management.18 Use cases extend beyond farmers as end users. For instance, GenAI can support the development of macro crop plans for governments, simulate climate risks for businesses and accelerate the development of new crop varieties (by identifying desirable genes or predicting gene-editing outcomes).3.1 Generative AI Shaping the Deep-Tech Revolution in Agriculture 10