Programme Parameters
Graduate / Intermediate
4 Weeks (40 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
IoT-Enabled Vertical Farming: Integrating Sensors and Biology shows how technology turns stacked indoor growing into a precise, productive system. You learn how IoT sensors and automation monitor and control the growing environment — light, nutrients, climate and water — and how that integrates with plant biology to optimise yield and resource use. The course connects the sensing and control to the sustainability case for vertical farming near cities. You finish able to reason about designing an IoT vertical-farming system. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course covers IoT-enabled vertical farming — integrating sensors, automation and biology to run productive, resource-efficient indoor vertical farms.
📋 Course Objectives
1. Explain vertical-farming systems and biology.
2. Deploy IoT sensors for the growing environment.
3. Automate light, nutrients, climate and water.
4. Optimise yield and resource efficiency.
5. Connect systems to urban food sustainability.
👥 Who Should Enroll?
• Agri-tech and controlled-environment professionals
• IoT and automation engineers
• Urban-farming entrepreneurs
• Students of sustainable agriculture
🚀 Key Learning Outcomes
• An understanding of IoT vertical farming.
• A controlled-environment agriculture perspective.
• A sustainable-food project.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Foundations of IoT-Enabled Vertical Farming
Design and configure IoT sensor systems for monitoring temperature, humidity, and light levels in vertical farming environments • Analyze the core biological principles of plant growth and development in relation to optimized crop production • Develop a comprehensive understanding of the integration of biotechnology and IoT sensors in vertical farming systems
Laboratory Techniques, Protocols, and Data Collection
Implement standardized laboratory protocols for collecting and analyzing plant tissue samples and sensor data • Configure and calibrate laboratory equipment for measuring plant growth parameters and environmental conditions • Evaluate the quality and integrity of collected data for use in downstream analysis and decision-making
Bioinformatics Tools and Computational Analysis
Apply bioinformatics tools and pipelines for analyzing genomic and transcriptomic data from plant samples • Develop and implement computational models for predicting plant growth and responses to environmental stimuli • Integrate and visualize data from multiple sources using data visualization tools and techniques
Research Methodology and Experimental Design
Design and propose experiments for testing hypotheses related to optimized crop production in vertical farming systems • Develop and implement robust experimental designs for evaluating the effects of IoT sensor-based interventions • Evaluate and refine research methodologies for ensuring validity, reliability, and generalizability of findings
Advanced IoT-Enabled Vertical Farming Applications
Develop and deploy advanced IoT-enabled vertical farming systems for optimized crop production and reduced environmental impact • Implement and evaluate machine learning algorithms for predicting and preventing crop diseases and pests • Design and configure automated irrigation and nutrient delivery systems for optimized water and resource use
Regulatory Compliance, Bioethics, and Safety Standards
Evaluate and ensure compliance with relevant regulations and standards for vertical farming and biotechnology applications • Develop and implement bioethics guidelines and protocols for responsible innovation and deployment of IoT-enabled vertical farming systems • Configure and maintain safety standards and protocols for protecting workers, consumers, and the environment
Industry Applications, Career Pathways, and Case Studies
Analyze and evaluate real-world case studies of IoT-enabled vertical farming applications and their impact on the industry • Develop and propose innovative solutions for addressing industry challenges and opportunities in vertical farming • Explore and pursue career pathways and professional development opportunities in the field of IoT-enabled vertical farming
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | TensorFlow |
| Covered Tool / Platform | Tableau |
| Covered Tool / Platform | Excel |
Frequently Asked Questions
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