Smart Plant Systems and Vertical Farming Engineering (Bachelor's)

Cultivating Tomorrow's Food, Today Leading the Future of Vertical Farming at Nexier University Welcome to the future of sustainable agriculture! I am Prof. Dr. Fahad Al-Enazi. As a professor and a pioneering force in the field of Smart Plant Systems and Vertical Farming Engineering, I bring a unique blend of engineering expertise and environmental insight to efficient and sustainable food production. I am honored to lead the Smart Plant Systems and Vertical Farming Engineering (Bachelor's) program at Nexier University.

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Level
Bachelor
Learning model
Professor + Mentor
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NXAcademic
Edition
The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

01

Academic focus

Smart Plant Systems, Vertical Farming Engineering, IoT Sensors, AI-Powered Climate Control for Food Production.

02

Practical focus

Hydroponic/Aeroponic Systems, Gene Editing for Efficient and Sustainable Food Production.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

  • Internships in vertical farming companies and agricultural biotechnology firms

  • Roles as plant scientists or agricultural engineers

  • Consultancy in sustainable food systems

  • Support roles in academic research projects

Career opportunities

  • Vertical Farm Engineer

  • Agricultural AI Specialist

  • Controlled Environment Agriculture Consultant

  • Sustainable Food Systems Developer

Jobs and projects

  • Cultivating innovative and practical problem-solving skills

  • Enhancing sustainable and resource-conscious approaches to agriculture

  • Developing technical and visionary thinking for food systems

  • Fostering encouraging and detail-oriented approaches to engineering challenges

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

  • What you gain

    • Understanding the principles of hydroponic and aeroponic systems. Developing foundational competencies in gene editing for plants. Gaining an interdisciplinary perspective and enhancing teamwork skills. Increasing personal awareness by delving into the future of food.
  • Skills you build

    • Mastering smart plant systems and vertical farming engineering. Understanding IoT sensors and AI-powered climate control for food production. Applying hydroponic/aeroponic systems and an introduction to gene editing. Developing efficient and sustainable food production methods.
Listed courses

Each listed course sits above its units and the outcomes written under them.

Smart Plant Systems and Vertical Farming Engineering (Bachelor's)

  1. 01Fundamentals of Plant Physiology
    1. FoundationsFoundations of Fundamentals of Plant Physiology

      The learner can understand the principles of hydroponic and aeroponic systems, as applied to Fundamentals of Plant Physiology.

      The learner can develop foundational competencies in gene editing for plants, as applied to Fundamentals of Plant Physiology.

    2. MethodsMethods in Fundamentals of Plant Physiology

      The learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Plant Physiology.

      The learner can increase personal awareness by delving into the future of food, as applied to Fundamentals of Plant Physiology.

    3. ApplicationApplication of Fundamentals of Plant Physiology

      The learner can master smart plant systems and vertical farming engineering, as applied to Fundamentals of Plant Physiology.

      The learner can understand IoT sensors and AI-powered climate control for food production, as applied to Fundamentals of Plant Physiology.

  2. 02Techniques for Controlled Environment Agriculture
    1. FoundationsFoundations of Techniques for Controlled Environment Agriculture

      The learner can apply hydroponic/aeroponic systems and an introduction to gene editing, as applied to Techniques for Controlled Environment Agriculture.

      The learner can develop efficient and sustainable food production methods, as applied to Techniques for Controlled Environment Agriculture.

    2. MethodsMethods in Techniques for Controlled Environment Agriculture

      The learner can apply a method from Techniques for Controlled Environment Agriculture to a documented case.

      The learner can select an appropriate method from Techniques for Controlled Environment Agriculture for a stated problem.

    3. ApplicationApplication of Techniques for Controlled Environment Agriculture

      The learner can evaluate a practice of Techniques for Controlled Environment Agriculture against a stated criterion.

      The learner can transfer Techniques for Controlled Environment Agriculture to a new documented context.

  3. 03AI-Assisted Feedback Systems for Crop Optimization
    1. FoundationsFoundations of AI-Assisted Feedback Systems for Crop Optimization

      The learner can explain the core terms of AI-Assisted Feedback Systems for Crop Optimization.

      The learner can distinguish related ideas inside AI-Assisted Feedback Systems for Crop Optimization.

    2. MethodsMethods in AI-Assisted Feedback Systems for Crop Optimization

      The learner can apply a method from AI-Assisted Feedback Systems for Crop Optimization to a documented case.

      The learner can select an appropriate method from AI-Assisted Feedback Systems for Crop Optimization for a stated problem.

    3. ApplicationApplication of AI-Assisted Feedback Systems for Crop Optimization

      The learner can evaluate a practice of AI-Assisted Feedback Systems for Crop Optimization against a stated criterion.

      The learner can transfer AI-Assisted Feedback Systems for Crop Optimization to a new documented context.

  4. 04Interdisciplinary Project Management in Agri-Tech
    1. FoundationsFoundations of Interdisciplinary Project Management in Agri-Tech

      The learner can explain the core terms of Interdisciplinary Project Management in Agri-Tech.

      The learner can distinguish related ideas inside Interdisciplinary Project Management in Agri-Tech.

    2. MethodsMethods in Interdisciplinary Project Management in Agri-Tech

      The learner can apply a method from Interdisciplinary Project Management in Agri-Tech to a documented case.

      The learner can select an appropriate method from Interdisciplinary Project Management in Agri-Tech for a stated problem.

    3. ApplicationApplication of Interdisciplinary Project Management in Agri-Tech

      The learner can evaluate a practice of Interdisciplinary Project Management in Agri-Tech against a stated criterion.

      The learner can transfer Interdisciplinary Project Management in Agri-Tech to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

His expertise spans the intricate domains of Smart Plant Systems and Vertical Farming Engineering, focusing on IoT sensors, AI-powered climate control, hydroponic/aeroponic systems, and an introduction to gene editing for efficient and sustainable food production. His work seamlessly integrates technology with agricultural science. He is widely recognized for his contributions, with distinguished publications such as "Optimizing Crop Growth with IoT-Driven Hydroponics" and "The Role of AI in Sustainable Urban Farming" listed on his Google Scholar and ResearchGate profiles. He holds prestigious memberships as an "Honorary Member" of the Association for Vertical Farming (AVF) and the Global Smart Agriculture Alliance. His thought leadership is evident through his regular insightful articles on LinkedIn, exploring the technological advancements in controlled environment agriculture and the future of sustainable food systems, all guided by his motto: "Cultivating Tomorrow's Food, Today."

Applied mentorship

My expertise lies in the practical application of advanced plant systems. I focus on the hands-on implementation of hydroponic/aeroponic systems and gene editing techniques, explaining complex concepts in a clear and concise manner. I guide my students through the challenging aspects of efficient and sustainable food production, fostering a detail-oriented and methodical approach to vertical farming. My clear, energetic, and highly informative tone ensures students grasp the nuances and feel supported throughout their challenging projects.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

Blog Post (Current Academic Topic): "The Rise of Hyper-Localized Food Production: How Vertical Farms are Revolutionizing Urban Supply Chains." This blog post academically examines the increasing trend of establishing vertical farms within urban centers, highlighting their role in shortening supply chains, reducing transportation costs and emissions, and providing fresh produce to dense populations. It discusses the logistical challenges and technological solutions, such as automated harvesting and smart distribution networks, that make hyper-localized food production feasible and economically viable in modern cities. Blog Post (Controversial Topic): "Should We Genetically Engineer Plants for Vertical Farms? The High-Yield vs. Natural Purity Debate." This article provocatively discusses the controversial practice of gene editing in plants specifically cultivated for vertical farming. It contrasts the potential for drastically increased yields, enhanced nutritional content, and disease resistance through genetic optimization against concerns about "natural purity," consumer acceptance of genetically modified foods (GMOs), and potential unforeseen ecological impacts. It invites a strong ethical and public debate on the future of our food's genetic makeup and the role of technology in dictating what we eat. Article: "AI-Driven Nutrient Delivery Systems for Aeroponic Vertical Farms: Maximizing Resource Efficiency." This article details a novel AI algorithm designed to precisely control nutrient delivery in aeroponic systems, minimizing water and fertilizer waste while optimizing plant growth. It presents experimental data demonstrating how AI can adapt nutrient recipes in real-time based on plant stress indicators and growth phases, leading to significant resource savings and yield increases. Peer-Reviewed Journal Article: "IoT Sensor Integration for Predictive Climate Control in Multi-Layer Vertical Farms." Published in the Journal of Smart Agriculture Technologies, this article presents a comprehensive study on integrating various IoT sensors (temperature, humidity, CO2, light intensity, nutrient levels) with AI-powered predictive models to achieve optimal and energy-efficient climate control in large-scale vertical farms. It demonstrates the effectiveness of predictive analytics in preventing crop stress and maximizing growth rates through automated environmental adjustments. Book: "The Vertical Revolution: Engineering Smart Plant Systems for Future Food Security." This book provides a foundational guide to smart plant systems and vertical farming engineering. It covers the core principles of IoT sensors, AI-powered climate control, hydroponic/aeroponic systems, and an introduction to gene editing, all aimed at efficient and sustainable food production. It is an essential resource for Bachelor's students seeking to redefine the future of food.

R / 02

Mentor practice lens

My research and contributions focus on practical applications within advanced plant systems: "Comparative Analysis of Hydroponic and Aeroponic Systems for High-Value Crops" (Technical Report) "CRISPR-Cas9 Applications in Enhancing Nutrient Uptake in Indoor Farming" (Research Paper) "Designing Zero-Waste Closed-Loop Hydroponic Systems" (Workshop Manual)

Adaptive capability

Professor superpower

He possesses a remarkable "superpower": Bio-Parametric Growth Simulator. When a student proposes a new crop or cultivation method, he can instantly use the GAF engine to simulate the plant's entire growth cycle under various environmental parameters (light, humidity, CO2, nutrient levels) and genetically modified traits, predicting optimal yields and resource consumption within seconds. This allows for rapid ideation and optimization of vertical farm designs.

Adaptive capability

Mentor superpower

She possesses a remarkable "superpower": Genetic Optimization Synthesizer. When students are designing genetically optimized plants for specific vertical farm conditions, she can instantly use a GAF-powered synthesizer to simulate the phenotypic expression of various gene edits, predicting enhanced growth rates, nutrient profiles, or disease resistance, allowing students to visualize the biological impact of their genetic designs. This capability provides immediate clarity in complex genetic engineering scenarios.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

Same faculty and level

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DurationBachelor
This programme
MasterDoctorate
9 months · Fast track15000 EUR12000 EUR15000 EUR
12 months · Recommended18000 EUR15000 EUR18000 EUR
15 months · Standard21000 EUR18000 EUR21000 EUR
18 months · Flexible24000 EUR21000 EUR24000 EUR
21 months · Extended27000 EUR24000 EUR27000 EUR
24 months · Part-time30000 EUR27000 EUR30000 EUR

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