ABSTRACT
This chapter discusses the potential of artificial intelligence (AI) applications, particularly chatbots, to improve India’s agriculture sector. It provides examples of emerging chatbots, such as Ama KrushAI, Jugalbandi, and Kisan e-Mitra, that use Bhashini’s language processing capabilities to offer personalized advisories to farmers. This chapter identifies and delves into the barriers to the uptake of such AI applications based on secondary research and stakeholder interviews. These barriers include linguistic diversity, lack of contextual relevance, digital connectivity gaps, and behavioral challenges, among others. Moreover, this chapter provides recommendations to increase the responsible uptake of such applications. The recommendations encompass contextual training of models, human-in-the-loop mechanisms, collaborations and partnerships, and data protection, among others. If the existing challenges are addressed responsibly, AI-powered chatbots can potentially increase productivity, profitability, and resilience in Indian agriculture.
