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Design of an Advanced Control System using AI/ML and Recent Control Algorithms for an IoT-based Hydroponic Growing System with Aerator/Temperature/Water Level Monitor

Status: New

Lab/Organization
Name & address of the Laboratory/Organization Indian Institute of Technology (IIT), Mandi
Website address www.iitmandi.ac.in
Affiliated to which Department/Ministry Indian Institute of Technology (IIT)
CSR Registration Number CSR00057737
Registration under 12A AAALI0149JF20221
Registration under 80G Exemption under notification vide no. CCIT(E)/order u/s 80G(2)(a)(iiif)/2016-17/1480
Name of the CSR Nodal Prof. Varun Dutt
Contact information of CSR Nodal +91 1905 27945, dora@iitmandi.ac.in
Principal Investigator Dr. Tushar Jain, tushar@iitmandi.ac.in
Tushar JAIN
Co- Principal Investigator (Co-PI)
Project Detail
Objective on the basis of need
  • Efficient Hydroponic Cultivation
  • IoT Integration
  • Real-time Monitoring
  • Advanced Control Algorithms
  • AI/ML and Vision-Based Analysis
  • User-Friendly Mobile Application
  • Advisory Services
  • Ease of Deployment and Maintenance
Executive summary of the proposed project (In 250 words)

To design and develop an advanced IoT-based hydroponic growing system that integrates cutting-edge AI/ML technologies and advanced control algorithms. The system will incorporate multi-sensor integration to monitor key parameters such as water quality, nutritional levels, temperature, humidity, light, CO2 levels, and NPK ratios. It will feature image capture for crop disease detection, LED lighting for precise growth control, and a user-friendly mobile application to facilitate real-time monitoring, control, disease management, and nutrition optimization. Additionally, the system aims to provide tailored recommendations and advisory services to farmers, ensuring ease of deployment, maintenance, and operation while optimizing crop growth conditions.
Technology Readiness Level (If not a new project but an advancement of existing know how) TRL 5-6 - Technology validated in a relevant environment.
Outomes or Deliverables
  • User-Friendly Mobile Application
  • Fully Functional Hydroponic System
  • Early Detection and Alerts
  • Crop-Specific Nutrient Management
Project aligned with which most relevant UN SDGs Goal 2 - Zero Hunger
Goal 3 - Good Health & Well-Being
Goal 8 - Decent Work & Economic Growth
Duration (In years) 1 Years
Expected Impact

project aims to empower farmers as agripreneurs, enhancing productivity through optimized hydroponic systems while promoting resource efficiency.
Implementation model (self- implemented/ outsourced partnership) Collaboration with agricultural technology providers and local farmers.
Total Budget (Recurring +Non-Recurring Expenses) INR 8 lakhs
 
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