Revolutionizing Himalayan and Indian Agriculture through Artificial Intelligence, Autonomous Robotics, Precision IoT, and Next-Generation Data Intelligence.
Empowering the next generation of engineers, data scientists, and Agri-Tech pioneers
Joint premier curriculum combining SKUAST-K agricultural expertise with IIT Mandi deep tech compute power.
Unlock the future of Agri-Tech with our specialized B.Tech program bridging state-of-the-art Artificial Intelligence and Autonomous Robotics with precision agriculture.
Core AI, Data Structures, Math & Agri-Sensors at SKUAST-K Srinagar.
Credit transfer advanced AI compute & ML systems at IIT Mandi HP.
Field Robotics Internship & Capstone Project in Agri-Tech clusters.
Major Research Deployment, Patent Filing & Startup Incubation.
Intensive modular certifications in Applied Python for AI, Edge IoT Sensing, and Geographic Information Systems (GIS) in agriculture.
Explore CoursesHands-on industry co-designed training focusing on smart orchards, autonomous spraying UAVs, and commercial AI deployments.
View ProgrammeCapacity building for students, rural youth, and Agri-Entrepreneurs with flexible online learning and recognized credentials.
Discover TrainingsPioneering deep-tech and precision solutions tailored for sustainable high-altitude agriculture
A flagship multi-institutional initiative by SKUAST-Kashmir and C-DAC Kolkata to revolutionize agriculture using advanced IoT sensor networks, machine vision, and AI-driven decision systems.
Precision AI
Harnessing AI algorithms and satellite telemetry to optimize water, fertilizer, and energy use while helping crops adapt to changing microclimates.
IoT & Sensors
Real-time edge sensors and automated actuators monitoring field conditions, soil moisture, and atmospheric telemetry for smart irrigation.
Vision & DSS
Deep convolutional neural networks for early pest detection, scab diagnosis, and real-time decision support systems for orchardists.
Robotics & UAVs
Autonomous drones and ground robots performing targeted spray dispersal, high-resolution canopy scanning, and yield prediction.
Bioinformatics
Machine learning models analyzing genomic sequencing, plant pathology data, and bio-molecular pathways for crop resilience.
Animal AI
Computational biomechanics, wildlife telemetry tracking, and predictive disease surveillance for livestock and endangered fauna.
Joint research initiatives, compute partnerships, and academic affiliations
Interview notice for Shortlisted Candidates for two JRF positions under DST-NGP funded Project titled “Mitigation of Pilferage-based Loss in Walnuts in Fores...
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Download AttachmentShape the future of Agri-Tech with our multidisciplinary B.Tech and short-term certificate trainings.
Peer-reviewed research and technological breakthroughs by CAIML faculty and researchers
Ab Rouf Khan, et. al.
Ambreen Hamadani
Ambreen Hamadani