The Government of Rajasthan and Wadhwani AI (LEHS AI Unit) signed a Memorandum of Understanding (MoU) to collaborate on the deployment and integration of artificial intelligence (AI)-driven solutions across the state’s agriculture ecosystem.
The partnership aims to support Rajasthan’s ongoing efforts towards improving farmer access to timely advisories, strengthening field-level intelligence systems, enhancing agricultural data visibility, and enabling more responsive agriculture delivery mechanisms through AI solutions designed for Indian conditions. Under the partnership, Wadhwani AI will serve as a technical partner to the state, supporting the deployment, integration, and implementation of AI-driven tools aligned with Rajasthan’s agricultural priorities and digital transformation initiatives.
Across India, Wadhwani AI has been building and deploying AI-powered agriculture solutions that strengthen farm resilience, improve productivity, and enhance the efficiency of agricultural systems at scale. Through a portfolio of solutions spanning crop advisory, pest and disease surveillance, farm-level digitisation, agricultural intelligence, grievance redressal, and quality assessment, Wadhwani AI has reached more than 1 million farmers across 10 states in India through collaborations with government departments, research institutions, and ecosystem partners.
Building on these nationwide deployments and learnings, Rajasthan presents a strong opportunity to deepen and scale AI adoption in agriculture. As one of India’s largest and most diverse agricultural states, Rajasthan offers significant potential for scalable AI deployment across crop advisory, pest and disease surveillance, farm-level digitisation, agricultural intelligence, and quality assessment. The state also has a strong animal husbandry sector, complemented by substantial opportunities in agroforestry, enabling integrated and climate-resilient rural development interventions.
The solutions to be deployed in the state include:
AgriVaani: A multilingual, multimodal conversational AI app designed to provide tailored agricultural advisories to farmers and extension workers through voice and text interactions in local languages. Powered by an agriculture domain-specific language model, the solution enables users to ask agriculture-related questions and receive actionable responses, helping bridge the gap between existing agricultural knowledge and access, particularly in underserved regions.
CropAce: A computer vision-based AI solution designed to identify crop pests and diseases from field images and provide recommendations for timely intervention. CropAce can support early detection of threats, enable safer pesticide use to reduce crop losses, and improve extension service delivery through AI-assisted diagnostics and outbreak visibility.
Soybean Grain Analyser (SGA): An AI-powered smartphone app that uses computer-vision-based evaluation to objectively assess soybean grain quality. The solution is designed to support farmers, Farmer Producer Organisations (FPOs), and buyers through standardised quality assessment, helping improve transparency during procurement and pricing discussions.
News Monitoring in Agriculture (NMA): An AI-powered agriculture news monitoring solution designed to help agriculture departments track and respond to critical agriculture-related developments in near real time across English and regional languages. The platform uses AI and machine learning to identify, categorise, and summarise relevant news signals, including pest outbreaks, crop diseases, weather disruptions, and agricultural market-related developments, enabling faster alerts, improved field-level visibility, and more responsive decision-making across the agriculture ecosystem.
