Teaching case Ecorobotix: Embracing sustainability through AI-solutions

Abstract

This case explores the intersection of artificial intelligence and sustainability in agriculture. Ecorobotix, a pioneering company, developed an ultra-precise smart spot sprayer equipped with AI-based real-time image recognition to address sustainability challenges in farming. The company’s innovative product exemplifies how digital technology, combined with physical components, can be utilized to promote sustainable agricultural practices by minimizing resource use and environmental impact. The case examines the challenges and opportunities associated with developing and implementing AI-driven digital solutions in agriculture. It highlights the arising tensions in aligning a technological innovation with a sustainability-driven value proposition. Furthermore, the case sheds light on the evolution of the product as it adapts to practical applications and market demands. This teaching case draws from a qualitative study that incorporates primary data, including interviews and field observations during product use, as well as secondary data from publicly available sources. It reflects on the potential of digital innovations like Ecorobotix’s smart sprayer to redefine sustainability in agriculture while balancing technological feasibility and market viability.