Engineering at the Heart of Food Security: IEEE Report Spotlights Smart Farming From Digital Twins to Robotic Harvesting

According to the United Nations World Food Programme, approximately 750 million people worldwide currently face hunger. The World Resources Institute projects that global food demand will increase 50% above 2010 levels by 2050.

A special report published by the IEEE Smart Agri-Food Initiative argues that meeting this demand will require technology to scale food production. The report compiles the latest research findings, real-world case studies, and new approaches to technology deployment, serving as a resource for farmers, engineers, and policymakers alike.

Leading the initiative is IEEE Fellow John Verboncoeur, who also serves as chair of the Smart Food Initiative and as a professor of electrical and computer engineering at Michigan State University in East Lansing, Michigan.

"Food security is evolving into a systems engineering problem," Verboncoeur said. "We are no longer just talking about tractors and irrigation — we are talking about how sensing, communications, computing, automation, and sustainability work together."

Although he did not train as an agricultural scientist, Verboncoeur's first exposure to smart farming came during his undergraduate studies at the University of Florida between 1985 and 1986. He contributed to the development of a SmartAg aeroponic system for NASA intended for use on the International Space Station, delivering nutrients to plant roots via water mist and using lightweight pneumatic structures to support the plants.

He has served as executive committee chair of the Michigan State University SmartAg Initiative since its launch in 2017, leading cross-disciplinary work applying engineering and digital technologies to agriculture and food systems.

Verboncoeur draws a connection between the idea of "engineering as an agricultural force multiplier" and lessons from the IEEE Smart Village Program, which supports projects delivering electricity, education, and economic opportunity to remote communities. He sees agriculture as requiring the same systems-level thinking.

"The challenge is not just inventing the technology," he said. "It is making the system practical, affordable, and actually deployable."

From Digital Twins to Automated Harvesting

The central theme of the Smart Agri-Food Systems report is the integrated convergence of automation, data analytics, and sustainability.

One paper, Smart Agriculture, Precision Agriculture, Agricultural Digital Twins: Similarities and Differences, examines the confusion that researchers and practitioners encounter when defining and applying these technologies. It was co-authored by Dilan Onat Alakuş, a research assistant in the software engineering department at Kırklareli University in Turkey, and Ibrahim Türkoğlu, a professor in the software engineering department at Fırat University in Elazığ, Turkey.

The authors note that terminological ambiguity leads to poor investment efficiency, low technology adoption rates, and a lack of comprehensive analysis of environmental and economic impacts in farming methods still largely based on traditional practices and intuition.

They describe three categories of technology that can benefit farmers:

• Smart farming systems: Integrate sensors, artificial intelligence, robotics, and analytics tools to improve efficiency and sustainability at scale.
• Precision agriculture: Focuses on site-specific decision-making. Farmers use GPS-guided equipment for field mapping, deploy drones to monitor crop health, and install in-field sensors tracking soil moisture and nutrient levels in specific zones. These tools allow precise application of water, fertilizer, and pesticides, reducing waste and environmental impact.
• Digital twins: Create virtual replicas of agricultural areas, simulating farms, crops, and irrigation systems so growers can test scenarios and predict outcomes before implementing changes.

The authors emphasize that the three categories overlap in practice — a digital twin may draw data from a precision agriculture system and feed recommendations into a smart farming platform. Clearer distinctions help farmers select the right tools and avoid unnecessary complexity and cost.

"This study contributes to conscious agricultural practices by differentiating agricultural technologies," they wrote. "Clearer definitions can increase productivity."

Smart Farming in Practice

Another paper in the report describes a system called "bustani" — Arabic for "my garden." Researchers at Prince Mohammad Bin Fahd University in Al-Khobar, Saudi Arabia, developed the Bustanica project, an automated hydroponic vertical farm system.

The paper, Bustani: A Microcontroller-Based Automated Hydroponic Vertical Farm Solution, was co-authored by Hussah Alotaibi, a computer engineer at Saudi Aramco, and university researchers Abul Bashar, Widad Karsou, Shehvar Khan, and Salahudean Tohmeh of the robotics laboratory.

The Bustanica system combines hydroponics with aeroponics — plant roots are suspended in air and receive nutrients via a misting system. This combination allows crops to grow in compact indoor environments using far less water than conventional farming.

The system integrates Internet of Things (IoT) sensors that continuously monitor water quality and tank conditions:

• Hardware configuration: An Arduino Mega handles sensor data processing; a NodeMCU ESP8266, a low-cost open-source IoT platform, manages Wi-Fi communications and cloud connectivity.
• Cloud integration: Data is transmitted via Google Firebase, serving as a real-time bridge between sensors and the control system.
• Remote monitoring: A mobile application allows users to remotely monitor and control the system, displaying real-time data on lighting, nutrient concentration, and pump operation. Automated dosing pumps adjust delivery when conditions deviate from optimal ranges.

During testing, the system successfully maintained stable environmental conditions and dynamically adjusted dosing in response to changing readings.

The authors described the outcome as "a fully functional automated vertical sustainable farm that creates ideal growing conditions and is equipped with an Android application providing real-time monitoring and notifications." Future plans include integrating Amazon Alexa voice control and machine learning tools for plant disease detection and growth analysis.

Robotics and the Labor Challenge

The paper Toward an Efficient Tomato Harvesting Robot addresses one of the persistent challenges in agricultural robotics: automated harvesting. Field tomatoes vary significantly in size, shape, and ripeness, and are easily damaged during handling.

The paper was co-authored by Son Hyoung-il, an IEEE Senior Member and professor of biosystems engineering and robotics at Chonnam National University in Gwangju, South Korea, along with graduate students Jun Jongpyo, Kim Jeongin, and Seol Jaehwi.

The researchers combined 3D machine vision, a robotic arm, a suction-cup gripper, and a rotary cutting tool to build a harvesting machine capable of operating in unstructured open-field environments. The goal is to reduce dependence on manual labor while improving harvesting efficiency and consistency.

Agriculture as a Systems Engineering Problem

Verboncoeur says the progress presented across the papers reflects a profound shift in how engineers approach agriculture.

"Farming was previously viewed mainly as managing the challenges of planting, watering, and fertilizing, and using machines to reduce the labor burden," he said. "Now it is also a data problem, a communications problem, an energy problem, and a resilience problem."

Another featured paper, Sustainable and Smart Agriculture: A Holistic Approach, co-authored by Surender Singh and Sannihit from the departments of computer science and engineering and civil engineering at Chandigarh University in Mohali, India, examines how technology can address environmental and demographic pressures.

The authors note that farmers must increase food output while reducing environmental damage caused by water depletion, over-fertilization, deforestation, and greenhouse gas emissions. They describe smart agriculture as "a revolution in food production."

The report also draws attention to rapid urbanization. Researchers note that by 2050, nearly 70% of the global population will live in cities, placing greater pressure on food supply chains and distribution systems.

The paper also observes growing collaboration between major agricultural equipment manufacturers — including Caterpillar, CNH, John Deere, and Kubota — and technology companies such as Bosch, Google, Intel, and Microsoft. However, connectivity reliability, sensor costs, and scalable data infrastructure remain obstacles to be overcome.

What Comes Next for Smart Agriculture

This special report marks an early phase of the IEEE Smart Agri-Food Initiative. Future plans include developing standards, establishing collaborative mechanisms among farmers, researchers, governments, and agribusinesses, and formulating deployment strategies for smart systems.

Future research directions may focus on interoperability across platforms, data sharing, and scalable deployment models. As computing power and sensor density increase, digital twins are expected to play a larger role — simulating agricultural systems before changes are implemented in the field will gradually become standard practice.

However, technology adoption depends on more than technical capability. Singh and Sannihit wrote: "Farmers face challenges in adopting such technologies due to cost, electricity accessibility, communication infrastructure, and the vulnerability of connected devices."

Smart agriculture can deliver efficiency gains and reduce inputs of water, fertilizer, and time — but only if systems can operate reliably across a wide range of environments, from large industrial farms to small family holdings in food-insecure regions.

For IEEE, agriculture has now been incorporated into core engineering disciplines. Verboncoeur underscored that the issue extends beyond technology itself:

"Food insecurity affects social stability, health, education, and economic development. Engineering cannot solve all the world's problems, but it absolutely plays an indispensable role in helping the world feed itself."

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