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AgriLife Research Scientist Pushing Bounds of Future Farming

Automation, artificial intelligence and robotics represent potentially monumental changes for agriculture’s future, and Azlan Zahid hopes his research will spearhead that evolution for urban farming.

Azlan Zahid, Ph.D., inside the Controlled Environment Agriculture facility at the Texas A&M AgriLife Research and Extension Center in Dallas.

Azlan Zahid, Ph.D., inside the Controlled Environment Agriculture facility at the Texas A&M AgriLife Research and Extension Center in Dallas. (Texas A&M AgriLife photo by Sam Craft)

Zahid, Ph.D., Texas A&M AgriLife Research assistant professor of controlled-environment agriculture engineering, joined the Department of Biological and Agricultural Engineering in the College of Agriculture and Life Sciences at Texas A&M University earlier this year after completing his doctorate in agricultural and biological engineering with a focus on artificial intelligence and robotics at Penn State University.

His research at the Texas A&M AgriLife Research and Extension Center at Dallas seeks to create and implement automation and artificial intelligence into controlled-environment agriculture like greenhouses and vertical grow systems in warehouse settings. The field is burgeoning and evolving rapidly.

Companies like Google, Amazon and Space X are investing in what Zahid and others believe is the future of localized food-crop agriculture, especially production that supports urban areas. For example, Space X is currently working to develop commercial production of leafy greens but is also working toward mimicking earthly growing environments for fruit and vegetable production on Mars.

“The applications of this production method are limitless, but the immediate goal is to cut out links of the supply chain and grow food in urban settings,” he said. “Removing shipping costs and the time it takes for food to move logistically allows growers to deliver the highest quality fresh fruits and vegetables quickly to consumers.”

The future of fruit, vegetable farming

Artificial intelligence, automation and institutional research data will play an important role in this evolution of food production capability.

Controlled-environment agriculture is exactly what it sounds like. An environment is augmented to create ideal growing conditions for a crop, whether in a greenhouse or fully enclosed warehouse-type space.

Commercial growers have utilized hydroponic and vertical growing systems in warehouse spaces to maximize their yields per square foot for years. Grow lights, soil, water, nutrients and management programs provide crop-specific conditions for plants to mature to their full potential, Zahid said.

But automation, AI and robotics can take well-established growing methods to the next level.

The goal of Zahid and the controlled-environment program at Dallas is to develop systems that optimize the microclimate inside the grow space. This could include manipulating light, carbon dioxide levels, temperature, humidity and other factors that plants need to develop, based on feedback the system receives from the crop, down to the individual plant.

A fully integrated system will work around the clock to take food crops from seed to harvest. For instance, Zahid is working to create a system that monitors plants for needs and problems. It tends to the plants, and it harvests them when they are ready for market.

Zahid said controlled environment agriculture adds precision to production that will not only reduce input costs and crop losses but also post-harvest waste.

“Traditional production systems now require crops to be harvested and shipped to consumers in large quantities,” he said. “Much of that produce is getting to market too early or too late, and that leads to an incredible amount of waste. Growing in urban settings allow growers to get produce to consumers quickly, and AI technology will give growers the ability to detect maturity and hand-select fruits and vegetables for harvest at peak quality.”

Projects look to integrate AI, automation, robotics

Zahid just arrived at the Texas A&M AgriLife center in Dallas but already has a handful of projects underway.

One project looks to automate irrigation and control it remotely through the internet. Sensors and cameras can detect moisture levels and trigger application of specific water amounts according to individual plant needs at the touch of a button from a mobile device, including smartphones.

Another project hopes to correct a seemingly simple issue for automated units to navigate in controlled environments – providing global positioning system connection and precision inside buildings.

He also plans to create a system that actively scouts plants for symptoms of pests and disease. Robotics will be integrated into the detection system to provide precision treatments to compromised plants. 

Zahid said the goal is to produce a monitoring system that acts as an early detection and management tool that prevents infestations before they spread. Eventually, a fully integrated precision production system will control inputs like fertilizer and water and the use of chemicals to control pests and disease.

“Once the disease or pest is detected, the system would treat those specific plants only,” he said. “We are building a case for how we can produce crops with the least amount of organic inputs or chemical use possible.”

Public, private partnerships will drive innovation

The Texas A&M AgriLife center’s state-of-the-art greenhouse and grow chamber facilities are ideal for researchers like Zahid and his colleagues to make leaps in the field. AgriLife Research has plans to add controlled-environment facilities for expanded lab and fieldwork related to the growing systems. 

Zahid joins a team of controlled-environment scientists fixed on leading Texas and the U.S. into that future. The artificial intelligence and automation projects utilize ongoing research at the center, which primarily focus on producing tomatoes and leafy greens, like spinach and kale.

Daniel Leskovar, Ph.D., interim director of the Texas A&M AgriLife center at Dallas, said the interest in growing systems that maximize space, resources, crop yield and quality is growing. The potential for creating integrated systems is driving public and private investment and innovations in the technology.

“It is clear how these systems can benefit urban environments around the world – whether we are talking about maximizing available production space or efficiently using resources like water,” he said. “These systems will have the ability to help us fill the gaps in population growth and food availability. Texas’ population boom in and around cities like Dallas, Austin, San Antonio and Houston, areas that represent a population of around 17 million people, is making the state an increasingly important hub for public/private collaboration to push innovation in this field.”

Zahid said continued advancements in automation will also solve another growing problem agriculture producers face – the shrinking agricultural labor force. While the system will reduce routine work and manual labor related to growing, harvesting and packaging produce, integrating automation into the food supply chain will create jobs for increasingly tech-savvy generations.

“These systems will still need people, but the nature of the jobs in agriculture production will change,” he said. “Human skills will be necessary to use and maintain the systems.”

Leskovar and Zahid said the limiting factor now for implementing artificial intelligence, automation and robotics into these systems is cost. Systems – from cameras and sensors to programming and task-adaptive robotics – can be expensive for any commercial startup.

Energy use and costs to run these facilities are not at sustainable levels in terms of their overall cost-benefit footprint. But efficiencies are realized daily, Leskovar said, and their overall cost-benefit value to agricultural production will continue to rise as components within the overall systems evolve and improve.

“We need research to adapt these systems and to address the complexity of issues they can present,” he said. “This takes input from all stakeholders, including growers, industry, scientists like Dr. Zahid and the team at Dallas, and ultimately consumers. This is tremendous technology, and we see the potential for application to complement outdoor production.”

Source : tamu.edu

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The 15-Year Bet Behind Every New Variety

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Canada is trying to decide how much agricultural research capacity it can afford to lose. Brian Rossnagel believes the better question is whether the country can afford to rebuild it.

The longtime barley and oat breeder makes the case with a simple fact about his profession: the consequences of today’s decisions may not become visible for 10 or 15 years.

“Pick the right parents. That’s the biggest thing,” Rossnagel says. “If you pick the wrong parents, you’re not going to get anywhere—and you don’t know that until 10 years, 15 years later.”

That warning carries particular weight as Agriculture and Agri-Food Canada moves to reduce spending and streamline parts of its science operations. The department’s 2026–27 plan anticipates the loss of approximately 665 positions by 2028–29 and says some research will be reduced where capacity exists in academia or industry. AAFC says the changes will make its science operations more cost-effective over the long term.

For Canada’s seed industry, Rossnagel’s career illustrates what is at stake.

This fall, the retired University of Saskatchewan breeder will be inducted into the Canadian Agricultural Hall of Fame. During his 35-year career at the Crop Development Centre, he helped develop more than 100 barley and oat varieties, including CDC Austenson—one of Western Canada’s most widely grown feed barleys. His induction recognizes not only those varieties, but the collaboration and research system that made them possible.

Rossnagel is quick to emphasize that none of it was the work of one person.

“The first thing I thought about was all the other people who contributed to whatever success I and my program had over the years,” he says. “We know that it’s not an individual who does this. It’s a group—a team.”

That team extends well beyond the breeder whose name appears beside a variety. It includes technicians, pathologists, quality specialists, statisticians, regional testing sites, seed growers and industry partners. It also includes the breeders who came before and those who will carry the germplasm forward.

CDC Fraser barley, for example, moved through three breeding careers. Its parents came from Brian Harvey’s program. Rossnagel advanced the material after Harvey retired, and Aaron Beattie later guided it through registration and release.

That kind of handoff is normal in plant breeding. The person who makes the original cross may never see the resulting variety reach farmers.

It also explains why lost research capacity cannot simply be switched back on when budgets improve.

“If you shut it off, it’s very, very difficult—and particularly costly—to start it up again,” Rossnagel says. “If you have to start from scratch, it’s going to be at least 10 years before anybody notices whether you’re getting anything done or not.”

The concern is not simply how many experimental lines Canada can process. Modern equipment, statistical tools and genetic technologies allow today’s breeding programs to evaluate tens of thousands of lines—far more than Rossnagel could handle when he entered the field in the early 1970s.

But efficiency and automation do not generate every idea.

“If you pare back down, and instead of having six or seven individual scientists concentrating on wheat breeding, you go down and say three people could handle all this, well, that’s half the ideas gone,” he says. “Particularly if you happen to lose the three people who had the really neat and innovative ideas, boy, that’s a problem.”

It is a timely distinction for Canadian agriculture. Consolidating programs may preserve the volume of material moving through a system, at least initially. It may not preserve the diversity of thinking, regional knowledge or willingness to pursue unconventional crosses.

That regional knowledge matters because Canadian agriculture is not one uniform production environment. A variety suited to southern Alberta may face different disease, moisture and maturity pressures than one grown in Manitoba, Ontario or Atlantic Canada.

“Agriculture is applied biology,” Rossnagel says. “Biology, all around the Earth, moves from the poles to the equator. It does not move from Newfoundland to B.C. like politics do.”