About CAIML
The Centre for Artificial Intelligence & Machine Learning (CAIML) at SKUAST-Kashmir is spearheading ICT-driven innovations to transform agriculture, horticulture, and livestock management in Jammu & Kashmir. Our key initiatives are aligned with sustainability, farmer empowerment, and technological excellence.
Our Vision
To excel in AI-driven agricultural research, education, and innovation, empowering farmers and stakeholders with advanced technologies for enhanced productivity and sustainability.
Our Mission
To leverage AI and ML Technologies to address the pressing challenges in agriculture, foster innovation, and contribute to the sustainable development of the agricultural sector.
Research & Innovations
Saffron & Walnut Improvement
AI-driven programs (funded by MeiTY, GOI) for yield enhancement and quality improvement.
Hangul Genome Sequencing
A crucial conservation project in collaboration with Oxford Nanopore, UK.
Intelligent Autonomous Sprayer
AI-driven precision spraying technology for high-density orchards to optimize chemical use.
Pest & Disease Detection
Real-time models for Scab, Alternaria in apples, Red Mites, and Aphids deployed via Kissan Khidmat Ghar.
IoT Cybersecurity
Patent-granted solutions to protect agricultural IoT networks against cyber threats and data breaches.
Methylation-based COPD Kit
Developing the world's first methylation-based diagnostic tool for lung health.
Key Initiatives & Impact
Funded Projects
- Saffron & Walnut Improvement: AI-driven programs (MeiTY, GOI).
- PM-Early Career Research Grants: 3 projects funded by ANRF / SERB (₹2 Crores).
- Hangul Genome Sequencing: Collaboration with Oxford Nanopore, UK.
- NAVIC-based Walnut Pilferage Mitigation: IoT system (DST-funded, ₹83 Lacs).
- Methylation-based COPD Kit: World’s first diagnostic tool (patent granted).
AI/ML Technologies
- Intelligent Autonomous Sprayer: For high-density orchards.
- Pest & Disease Detection: Real-time models for Scab, Alternaria, Red Mites, etc.
- IoT Cybersecurity: Patent-granted solutions for secure agricultural networks.
Patents & IP
2 patents granted (sprayer, IoT security), 1 copyright, and 2 patents/copyrights submitted.
Advanced Labs
- AIML Lab: Crop disease diagnosis, yield prediction, livestock improvement.
- Bioinformatics Lab: Genome analysis for pathogens and diagnostic kits.
- Fab Lab & AR/VR: 3D printing, rapid prototyping, custom IoT sensor development.
Farm Automation
Real-time data collection and monitoring enabled by the Internet of Things in agricultural fields, polyhouses and animal farms.
Skill Development & Capacity Building
- 3 MSME-sponsored trainings on AI & drone technology.
- Workshops with industry leaders on IoT and smart farming.
- IIT Bombay’s Spoken Tutorials for digital literacy (1,000+ trained).
This is in addition to our flagship B.Tech AI in Agriculture program.
Kissan Khidmat Ghar (KKG)
- Pest/Disease Alerts
- Hyperlocal Weather Forecasts
- Expert Connect via video/chat
Data Repository
Centralized data lake for crop performance, soil health, and more to enable predictive analytics.
Automated Field Monitoring
LPWAN sensor networks for real-time soil, moisture, and crop health tracking.
Smart Irrigation & Fertigation
AI-driven controllers linked to sensor data for precision water and nutrient management.
Drone-Based Monitoring
Using multispectral drones for health analysis, yield forecasting, and digital twin development.
AppleDoc
India’s first AI-IoT DSS for smart sheep breeding.
Recent Publications
| Title | Author(s) | Journal / Book | Impact / Type |
|---|---|---|---|
| Generation of multibeam radiation using an array of high refractive index vertical slabs | Zamir Wani | IEEE Antennas and Wireless Propagation Letters | SCI IF: 3.7 |
| Exploring Opportunities of Artificial Intelligence in Aquaculture... | Showkat Rasool | Food Chemistry | SCI IF: 7.51 |
| CAVE-Net: Classifying Abnormalities in Video Capsule Endoscopy | Syed Rameem Zahra | Image and Vision Computing, Elsevier | Pre-print |
| Utilization of AI – reshaping the future of food safety... | Ambreen Hamadani | Critical Reviews in Food Science and Nutrition | SCI IF: 7.3 |
| A Biologist's Guide to Artificial Intelligence | Ambreen Hamadani | Book (Elsevier) | Book |
| Artificial Intelligence on Farms: Sheep Breed Classification... | Ambreen Hamadani | Indian Journal of Animal Production and Management | NAAS: 2.51 |
Our Team
Dr. Showkat Rasool
Precision Agriculture
Dr. Ab Rouf Khan
ML & Big Data Modelling
Dr. Basharat A. Bhat
ML & Bioinformatics
Dr. Ambreen Hamadani
AI & Animal/Plant Modelling
Dr. Syed Rameem Zahra
5G/6G Security & AI/ML
Academics
B.Tech in Artificial Intelligence in Agriculture
In Collaboration with IIT Mandi | Unlock the Future of Agri-Tech!
Program Structure
Semester I to IV
Core coursework at SKUAST-K, Srinagar.
Semester V & VI
Credit transfer studies at IIT Mandi, Himachal Pradesh.
Semester VII
Internship and Minor Capstone Project at SKUAST-K/IIT Mandi.
Semester VIII
Internship at SKUAST-K/Industry/IIT Mandi.
Why Choose This Program?
- Cutting-Edge Curriculum: Learn the latest AI techniques and their applications in agriculture.
- World-Class Facilities: Access to AIML, IoT, AR/VR, and Bioinformatics Labs.
- Expert Faculty: Taught by renowned experts from both SKUAST-K and IIT Mandi.
- Career Prospects: Vast opportunities in precision farming, crop monitoring, agri-robotics, and more.
Admission Criteria
JEE (Main) scores required
Fee Structure
SKUAST-K: ₹50,000/Semester
State-of-the-Art Facilities
AIML Lab
For crop diagnosis & yield prediction.
Bioinformatics Lab
For genome analysis and diagnostics.
3D Printing & Fab Lab
For rapid prototyping and custom sensors.
AR/VR Lab
For virtual training and remote assistance.