The AI Bharat Expo 2025, co-located with Convergence India Expo and 10th Smart Cities India Expo, brought together a vast network of global industry representatives, researchers, investors, policymakers, and technology experts. Organized by the Exhibitions India Group (EIG) and India Trade Promotion Organisation (ITPO), the event brought together over 50,000 attendees and 1,000 exhibitors from 28 countries.
Under the theme “Imagining an AI-Driven Future Today: Innovating for a Better Tomorrow,” the AI Bharat Expo showcased advanced innovations and AI-driven solutions. AI Bharat Expo also provided a platform for discussions on AI adoption across sectors such as agriculture, healthcare, climate change, and governance, with the participation of 200 startups demonstrating the growing capabilities of new-age technologies.
The integration of AI in agriculture remains a focal point, as India seeks to enhance productivity, optimize resource management, and address longstanding agricultural challenges. AI-based analytics, machine learning models, and IoT-driven solutions are increasingly playing a role in precision farming, predictive weather modeling, and supply chain optimization.
AI Bharat Expo 2025: AI and Agriculture
AI technologies are offering solutions to some of the most pressing issues in Indian agriculture, including unpredictable weather patterns, resource scarcity, and inefficiencies in supply chains. AI-powered predictive analytics provide farmers with real-time insights into soil health, pest infestations, and crop yields. Smart irrigation systems, driven by machine learning algorithms, help optimize water usage, ensuring sustainable farming practices.
Zenner, a company specializing in AI-driven data analytics, showcased its IoT-integrated solutions aimed at improving efficiency in agriculture and smart infrastructure. Its predictive analytics models help farmers optimize energy usage, enhance smart irrigation techniques, and improve operational decision-making in agricultural enterprises.
Similarly, the AI for Resilient Cities model of SEEDS, designed to assess urban vulnerabilities using high-resolution satellite imagery, also has potential applications in agriculture. By identifying risk factors such as soil degradation and flood-prone areas, the model can help farmers make informed decisions to protect their crops and livelihoods.
Drones and AI: Strengthening Agricultural Surveillance
Dronelab Technologies presented AI-powered drones capable of large-scale field monitoring, providing real-time assessments of crop health and potential threats such as pest outbreaks. With advanced imaging capabilities, these drones enable precision agriculture by offering high-resolution data to guide interventions. Farmers can reduce costs and improve yield outcomes by leveraging AI-driven drone technology for targeted pesticide application, soil monitoring, and surveillance of vast agricultural landscapes.
Kochi-based agri-tech startup Fuselage Innovations also stood out at the AI Bharat Expo, winning the highly competitive Startup Pitch Hub. The company specializes in AI-driven drone technology designed to monitor crop health, detect disease outbreaks, and optimize fertilization through aerial observation. Founded by siblings Devan and Devika Chandrasekharan in 2020, the startup is incubated under the Kerala Startup Mission and aims to build a data-centric, sustainable agricultural model.
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Fuselage’s innovations secured it a fully sponsored exhibition space at Expand North Star Dubai and G-Tex Europe in Berlin, alongside an invitation to the Super Challenge 2025 Startup Conference in Berlin and the Supernova Challenge Pitch in Dubai, positioning the company on the global stage. Recognized with the Prem Beht Excellence in Innovation and Entrepreneurship Spirit Award, the startup exemplifies how emerging companies are redefining modern farming practices by combining precision data analytics with aerial monitoring to improve yields and reduce resource wastage.
AI-Driven Water and Disaster Management in Rural Areas
Flooding and water mismanagement continue to be significant concerns for India’s agricultural sector, affecting millions of farmers annually. AquatechExcel introduced its Autonomous Flood Early-Detection System (AFES), an IoT-based monitoring system designed to detect rising water levels and provide early warnings. The system ensures 24/7 monitoring, sending real-time alerts to farmers and authorities to mitigate losses. The integration of such AI-powered disaster management tools enhances resilience in rural areas prone to extreme weather conditions.
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Financial Inclusion and AI-Backed Agricultural Lending
Senrysa Technologies demonstrated its AI-powered banking solutions, leveraging Natural Language Processing (NLP) to facilitate automated banking and financial inclusion. These solutions have direct implications for small and marginal farmers, who often struggle with access to credit. AI-driven financial services, including automated loan processing, fraud detection, and compliance monitoring, are making agricultural financing more accessible, reducing bureaucratic barriers for farmers seeking financial assistance.
AI in Governance and Policy for Agriculture
Government-backed digital platforms, such as the UMANG app, also took center stage at the AI Bharat Expo. The app provides access to over 2,100 government services, including agricultural subsidies, crop insurance claims, and weather updates. By integrating AI capabilities, UMANG enables personalized recommendations, helping farmers access critical resources more efficiently.
The AI Bharat Expo 2025 underscored the growing role of AI in transforming India’s agricultural landscape. From AI-driven predictive analytics and drone-based surveillance to financial inclusion tools and disaster management systems, technology is playing a pivotal role in addressing long-standing challenges in agriculture. As AI adoption accelerates, collaborative efforts between policymakers, industry leaders, and farmers will be crucial in leveraging these innovations for sustainable and efficient agricultural practices.