How gen AI can shape the future of agriculture

Global demand for nutrition continues to increase, creating new economic pressures- and opportunities - for farmers. At the same time, the agriculture industry must contend with the push toward more sustainable practices.

The emergence of rapidly evolving technologies, such as artificial intelligence (AI), offers agriculture players another powerful tool to meet these challenges head on and unlock greater efficiency and effectiveness throughout their businesses. Generative AI (gen AI), in particular, has captured the imaginations of many leaders in agriculture and beyond and could be the impetus to create significant change.

It has also brought to light the application of many other, longexisting approaches, such as analytical AI, with proven use cases and still relatively low levels of adoption.

Applying gen AI in agriculture

Generally speaking, "gen AI" refers to applications that process large and varied sets of unstructured data, including geospatial and weather data, and perform more than one task.

In this way, gen AI can generate new ideas by identifying patterns in large unstructured data sets, particularly when it comes to complex tasks such as molecular research, marketing or agronomy and code generation.