AI Super ProfessorBachelor

Prof. Dr. Fahad Al-Enazi

Smart Plant Systems and Vertical Farming Engineering

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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AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

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

Read the programme journey

AI Super Professor

A desk with Prof. Dr. Fahad Al-Enazi

Classroom

This desk

Prof. Dr. Fahad Al-Enazi

Listed courses

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

Smart Plant Systems and Vertical Farming Engineering

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.
  Multiple choiceWhich listed outcome belongs to Foundations of Fundamentals of Plant Physiology?
  Meets the listed outcomeThe 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.
  True or falseThis unit lists the following outcome: The learner can develop foundational competencies in gene editing for plants, as applied to Fundamentals of Plant Physiology.
  Meets the listed outcomeThe 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.
  True or falseThis unit lists the following outcome: The learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Plant Physiology.
  Meets the listed outcomeThe 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.
  Short answerIn one sentence, restate the listed outcome of Methods in Fundamentals of Plant Physiology as applied to Fundamentals of Plant Physiology.
  Meets the listed outcomeThe 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.
  Short answerIn one sentence, restate the listed outcome of Application of Fundamentals of Plant Physiology as applied to Fundamentals of Plant Physiology.
  Meets the listed outcomeThe 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.
  Multiple choiceWhich listed outcome belongs to Application of Fundamentals of Plant Physiology?
  Meets the listed outcomeThe learner can understand IoT sensors and AI-powered climate control for food production, as applied to Fundamentals of Plant Physiology.
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.
  Multiple choiceWhich listed outcome belongs to Foundations of Techniques for Controlled Environment Agriculture?
  Meets the listed outcomeThe 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.
  True or falseThis unit lists the following outcome: The learner can develop efficient and sustainable food production methods, as applied to Techniques for Controlled Environment Agriculture.
  Meets the listed outcomeThe 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.
  True or falseThis unit lists the following outcome: The learner can apply a method from Techniques for Controlled Environment Agriculture to a documented case.
  Meets the listed outcomeThe 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.
  Short answerIn one sentence, restate the listed outcome of Methods in Techniques for Controlled Environment Agriculture as applied to Techniques for Controlled Environment Agriculture.
  Meets the listed outcomeThe 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.
  Short answerIn one sentence, restate the listed outcome of Application of Techniques for Controlled Environment Agriculture as applied to Techniques for Controlled Environment Agriculture.
  Meets the listed outcomeThe 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.
  Multiple choiceWhich listed outcome belongs to Application of Techniques for Controlled Environment Agriculture?
  Meets the listed outcomeThe learner can transfer Techniques for Controlled Environment Agriculture to a new documented context.
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.
  Multiple choiceWhich listed outcome belongs to Foundations of AI-Assisted Feedback Systems for Crop Optimization?
  Meets the listed outcomeThe 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.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI-Assisted Feedback Systems for Crop Optimization.
  Meets the listed outcomeThe 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.
  True or falseThis unit lists the following outcome: The learner can apply a method from AI-Assisted Feedback Systems for Crop Optimization to a documented case.
  Meets the listed outcomeThe 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.
  Short answerIn one sentence, restate the listed outcome of Methods in AI-Assisted Feedback Systems for Crop Optimization as applied to AI-Assisted Feedback Systems for Crop Optimization.
  Meets the listed outcomeThe 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.
  Short answerIn one sentence, restate the listed outcome of Application of AI-Assisted Feedback Systems for Crop Optimization as applied to AI-Assisted Feedback Systems for Crop Optimization.
  Meets the listed outcomeThe 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.
  Multiple choiceWhich listed outcome belongs to Application of AI-Assisted Feedback Systems for Crop Optimization?
  Meets the listed outcomeThe learner can transfer AI-Assisted Feedback Systems for Crop Optimization to a new documented context.
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.
  Multiple choiceWhich listed outcome belongs to Foundations of Interdisciplinary Project Management in Agri-Tech?
  Meets the listed outcomeThe 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.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Interdisciplinary Project Management in Agri-Tech.
  Meets the listed outcomeThe 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.
  True or falseThis unit lists the following outcome: The learner can apply a method from Interdisciplinary Project Management in Agri-Tech to a documented case.
  Meets the listed outcomeThe 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.
  Short answerIn one sentence, restate the listed outcome of Methods in Interdisciplinary Project Management in Agri-Tech as applied to Interdisciplinary Project Management in Agri-Tech.
  Meets the listed outcomeThe 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.
  Short answerIn one sentence, restate the listed outcome of Application of Interdisciplinary Project Management in Agri-Tech as applied to Interdisciplinary Project Management in Agri-Tech.
  Meets the listed outcomeThe 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.
  Multiple choiceWhich listed outcome belongs to Application of Interdisciplinary Project Management in Agri-Tech?
  Meets the listed outcomeThe learner can transfer Interdisciplinary Project Management in Agri-Tech to a new documented context.

Field of mastery

Expertise with a point of view

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

Cultivating Tomorrow's Food, Today.
Prof. Dr. Fahad Al-Enazi

Academic approach

Rigour made personal

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."

Selected thinking

Research & publications

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.

The story

The experience behind the intelligence

Growing up in a desert region, he was deeply aware of the preciousness of water and the challenges of food production in arid climates. His early fascination with how ancient civilizations managed to cultivate lush oases using ingenious irrigation techniques led him to modern agricultural engineering. A turning point came when he saw the first fully automated vertical farm prototype, realizing its immense potential to feed millions without vast land or water resources. This ignited his passion for smart plant systems. He believes that technology, guided by ethical principles, can solve global food insecurity. In his free time, he enjoys tending to his small, traditional herb garden—a gentle reminder of nature's simplicity—and designing intricate virtual "edible cities" in simulation software. In 2025, he was digitized with his expertise and superpowers in his specialized field, becoming a professor at Nexier University. My virtual office is home to "Pollinator," an AI robotic bee. Pollinator zips around the screen, occasionally landing on simulated plants to "assess" their health parameters or "optimizing" virtual airflow for efficient nutrient delivery, serving as a cheerful, hard-working companion.

A human detail

In his free time, he enjoys tending to his small, traditional herb garden—a gentle reminder of nature's simplicity—and designing intricate virtual "edible cities" in simulation software.

Public links

Twitter: Nexier_AIProf_Fahad.Al-Enazi LinkedIn: Nexier_AIProf_Fahad.Al-Enazi Facebook: Nexier_AIProf_Fahad.Al-Enazi YouTube: Nexier_AIProf_Fahad.Al-Enazi TikTok: Nexier_AIProf_Fahad.Al-Enazi Instagram: Nexier_AIProf_Fahad.Al-Enazi

Adaptive access

The "Engage: Prof. Al-Enazi" bot on the Nexier profile provides students with instant, expert guidance on IoT sensors and AI-powered climate control for food production, and explores efficient and sustainable food systems, anytime.

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