AI

Walmart is testing a new system to better manage fruit supply

by Talk Business & Politics staff (staff2@talkbusiness.net)

Walmart is partnering with Israel-based Agristask, a crop supply chain company, to test the effectiveness of artificial intelligence (AI) technology in sourcing fresh fruit such as blackberries and cherries.

Agritask’s remote sensing and data analytics tools can help sourcing managers at Walmart make better decisions on seasonal fruit crop yields. Walmart said the Insights will include immediate alerts on emerging or forming risks and their potential impact on target crops, real-time assessment of timing, delays, or advances in expected harvest, and updated indications on meeting yield targets throughout the growing season.

“Dealing with challenges in purchasing and planning accuracy in agriculture due to data discrepancies and environmental uncertainties can be tough,” said Kyle Carlyle, vice president of sourcing innovation and surety of supply at Walmart. “Agritask’s technology has the potential to fill vital information gaps that sourcing managers often face when predicting yield.”

Walmart is testing a new system to better manage fruit supply

Researchers awarded $5M to develop AI platform strengthening regional food systems

By University of Arkansas System

FAYETTEVILLE, Ark. — Artificial intelligence and machine learning are being explored with several aspects of agriculture, including streamlining regional food systems.

Two Arkansas Agricultural Experiment Station researchers have joined a collaborative effort led by the Institute for Integrative and Innovative Research, or I3R, to develop Cultivate IQ, an AI-driven platform that seeks to integrate sales and production data from across the farm-to-market supply chain to help plan and manage regional food supplies.

CULTIVATE IQ — Improving farm-to-market supply chains on a regional level is the goal of Cultivate IQ, a platform under development by the Institute for Integrative and Innovative Research at the University of Arkansas. (U of A System Division of Agriculture photo)

The Cultivate IQ project’s development team was recently awarded a $5 million National Science Foundation Phase II investment. The additional funding from the NSF Convergence Accelerator brings the total federal investment in the University of Arkansas-led project to nearly $6 million.

Safe and productive

Kristen Gibson, professor and director of the Center for Food Safety, and Trey Malone, assistant professor of agricultural economics and agribusiness, are part of the multi-state team of researchers and regional industry partners that are continuing to develop Cultivate IQ with the funding. The experiment station is the research arm of the University of Arkansas System Division of Agriculture.

“Regional food systems can’t work unless they’re safe,” Gibson said. “There are regulatory aspects to meet, and barriers growers may face when connecting to certain groups.”

Gibson is also offering guidance on quality assurance management goals that will be used for vetting growers.

On the economics side of things, Malone is working with the group to evaluate the agri-food supply chains and identify unique datasets that are largely in the specialty crop space for small and medium-sized farms.

“This project represents a unique opportunity for us to integrate the on-campus technology into the land grant mission,” Malone said. “I’m really excited to get started and I am intrigued by the potential that AI presents in helping farmers make their planting and pricing decisions.”

The Cultivate IQ project aims to integrate sales and production data from across the farm-to-market supply chain to help plan and manage regional food supplies. Local food buyers, including aggregators and distributors, will host their growers on the platform, extending access to market insights, production planning tools and purchase orders.

Agriculture is Arkansas’ top industry, and the Arkansas Delta is one of the most fertile agricultural regions in the country, Malone noted. Northwest Arkansas also has one of the highest concentrations of small-scale farmers in the state, he said. According to the latest Arkansas Agriculture Profile, the state consistently ranks in the top one-third in the nation for agricultural cash farm receipts.

Avoiding both overproduction and underproduction can minimize food loss and can have a positive economic impact on smaller farms by opening up new market channels, says Meredith Adkins, assistant research professor with I3R and the project’s principal investigator.

“Our global food system is fragile, and disruption in the system is a national security concern,” Adkins said. “Small and mid-sized farms and mission-driven local food distributors, such as food hubs, play an important role in strengthening our regional food systems, but they face real barriers including access to real-time marketplace insights such as pricing, supply and demand. Cultivate IQ aims to enable these end users to compete more effectively by making regionally relevant data insights more accessible.”  

Collaboration leads to solutions

Adkins’ team is composed of researchers from across the University of Arkansas System, as well as the University of Florida, University of Wisconsin-Madison, local industry partners Cureate and Junction AI. The team is one of seven multidisciplinary teams from the NSF Convergence Accelerator’s Track J: Food and Nutrition Security selected to advance from Phase 1, which focused on developing proof of concept, to Phase 2, in which the concept will be fully developed and deployed.  

Ranu Jung, associate vice chancellor and I³R founding executive director, said the Cultivate IQ project advanced through the competitive process because it “will make a societal impact” and is an example of partnership and collaboration. Jung is also a senior adviser on the project.

“A collaborative approach between academic researchers, industry, government, nonprofits and other communities is important to optimize the production of food and connections between farmers and consumers, researchers and other stakeholders,” said Douglas Maughan, head of the NSF Convergence Accelerator program. “A lot of great work was accomplished by all teams in Phase 1, but there is still more to be done. The teams selected for Phase 2 are expected to build innovative, tangible solutions and strong partnerships to address food scarcity, irrigation issues, supply chain inequalities and inefficiencies, and more.”

The U.S. National Science Foundation launched the Convergence Accelerator program in 2019. It is aligned with the Directorate for Technology, Innovation and Partnerships, or TIP.

In addition to Adkins, Gibson and Malone, the Arkansas-based core team includes:

Thi Hoang Ngan Le, Ph.D., assistant professor, department of electrical engineering and computer science

Chase Rainwater, Ph.D., chair, department of industrial engineering

Kim Bryden, CEO, Cureate

Vance Reavie, CEO, Junction AI

Philip Sambol, project manager, I³R

Support staff at I³R, multiple undergraduate interns and graduate assistants are also working on the project under the mentorship of the co-investigators, including Benjamin Sapaning Sr., graduate assistant at I³R.

An interdisciplinary group of researchers will collaborate with the core team to support the success of the project. At the U of A, this includes the Center for Advanced Spatial Technologies, directed by Jack Cothren, Ph.D., who will support the project’s geospatial data models for regional crop supply, as well as the Indigenous Food and Agriculture Initiative at the School of Law, represented by Associate Director Carly Griffith Hotvedt, J.D./MPA, who advises the project on engagement with indigenous communities. Marty Matlock, Ph.D., a food systems expert and ecological engineer who recently served as senior adviser to the U.S. Secretary of Agriculture, also serves as an adviser to the team. Yasser Sanad, DVM, MVSC, Ph.D., leads University of Arkansas at Pine Bluff’s engagement with the project in the Central Arkansas Delta. 

Two land-grant institutions outside of the state are also collaborating, including the University of Florida, represented by agricultural economist Di Fang, Ph.D., and two team members from the Center for Integrated Agricultural Systems at the University of Wisconsin-Madison. Erin Silva, Ph.D. and John Hendrickson at the University of Wisconsin-Madison are experts on farm viability and cost of production analysis by market channel.

Watch the team’s Phase 1 video and learn more about how the team is “Unlocking the Power of Convergence Research for Societal Impact.”

To learn more about Division of Agriculture research, visit the Arkansas Agricultural Experiment Station website: https://aaes.uada.edu. Follow on Twitter at @ArkAgResearch. To learn more about the Division of Agriculture, visit https://uada.edu/. Follow us on Twitter at @AgInArk. To learn about extension programs in Arkansas, contact your local Cooperative Extension Service agent or visit www.uaex.uada.edu.

AI firm SolaRid lands innovation grant for insect fight

by George Jared (gjared@talkbusiness.net)

SolaRid, an artificial intelligence-based company that tracks insects in agriculture fields, has received a Phase II grant through the National Science Foundation’s Small Business Innovation Research program. The Clinton-based agtech company received $981,000 to further develop its smart insect control system.

The system enables farmers to fight pests more efficiently, reducing crop loss and pesticide waste, according to the company. A timetable for the completion of this second phase was not released.

“When we can allow farmers to do more with less, we all benefit,” said SolaRid co-founder Don Richardson.

AI firm SolaRid lands innovation grant for insect fight

Artificial intelligence in agriculture isn’t the future; it’s now

By Brittaney Mann
U of A System Division of Agriculture

FAYETTEVILLE, Ark. — Cengiz Koparan knows first-hand the need for agricultural technology.

PRECISION AG — Cengiz Koparan is assistant professor of precision agriculture technology. (U of A System Division of Agriculture photo by Fred Miller)

Koparan planted 1,000 apple trees in Ankara, Turkey, in 2004. The demanding work of planting, maintaining and harvesting the apples in his orchard helped inspire his mission to put advanced robotics in the hands of more farmers.

Koparan, a new assistant professor of precision agriculture technology for the University of Arkansas and the University of Arkansas System Division of Agriculture, said the rapid rise of artificial intelligence is already making cutting-edge technology more available.

“It’s no longer a future,” Koparan said about automating agricultural systems and technology. “Fifteen years ago it was the future, but now it’s here.”

Koparan’s research aims to improve agricultural practices through robotic systems. Part of his research involves using artificial intelligence to reduce labor shortages and make farm technology more approachable for producers.

Koparan said that as technologies become more complex, artificial intelligence could make them more user-friendly.

“Someone needs to form a bridge between engineering applications and the operators,” Koparan said. “AI can fill some of this gap. If a machine or robot is based on artificial intelligence, then the end user won’t have to control all aspects and parameters of the robot.”

Researchers with the Arkansas Agricultural Experiment Station, the research arm of the Division of Agriculture, are already investigating numerous applications of artificial intelligence and machine learning. Experiment station scientists are evaluating new weed control technologies, designing systems to determine yield potential from aerial imagery and studying the use of artificial intelligence and robotics in chicken processing.

Encouraging student involvement

Koparan joined the University of Arkansas System in February. He has a dual role, working for both the Dale Bumpers College of Agricultural, Food and Life Sciences and the College of Engineering. He is in the department of agricultural education, communications and technology in the former, and the department of biological and agricultural engineering in the latter.

Since arriving in Arkansas, Koparan has established an agricultural robotics club at the university and received a $5,000 Student Success Grant from the university’s Global Campus. The grant will fund a reoccurring capstone project course beginning in spring 2024. Throughout the course, Koparan will instruct students on how to build a quadcopter and subsystems for site-specific precision agriculture applications.

The robotics club will compete in the American Society of Agricultural and Biological Engineers Annual International Meeting student robotics club competition in Omaha, Nebraska, on July 9, Koparan said.

“We need more student involvement in this type of research,” Koparan said. He said he learned a lot as a student in agricultural robotics clubs, and he sees the agriculture industry adopting these technologies more as time progresses.

Koparan received his bachelor’s degree in agricultural engineering from Ankara University in Turkey in 2008 and earned a master’s degree in business management from Cambridge College in 2012. Koparan then attended Clemson University, earning master’s and doctoral degrees in plant and environmental sciences in 2016 and 2020.

Koparan’s upcoming and current research includes using computer vision-integrated unmanned aerial vehicles, or drones, to count blackberry blossoms. He is also developing computer vision-based variable rate spraying systems focused on weed control in soybean crops using drones and unmanned ground vehicles.

As a doctoral student, Koparan worked on various projects using unmanned aerial and ground vehicles. His upcoming blackberry blossom research parallels one of his earlier projects that used image processing to count peach blossoms. He also contributed to research on developing water quality monitoring tools using drones, which helped improve watershed management in South Carolina.

His post-doctoral work focused on precision weed management using computer vision and artificial intelligence to drive a drone-based automated spraying system.

Koparan said his knowledge of engineering concepts combined with his awareness of agricultural practices allow him to explore possible solutions to issues in the industry.

“When you know how and you know there is a need, you do it,” Koparan said.

To learn more about Division of Agriculture research, visit the Arkansas Agricultural Experiment Station website: https://aaes.uada.edu/. Follow us on Twitter at @ArkAgResearch. To learn more about the Division of Agriculture, visit https://uada.edu/. Follow us on Twitter at @AgInArk. To learn about extension programs in Arkansas, contact your local Cooperative Extension Service agent or visit www.uaex.uada.edu.

Arkansas to lead $5 million grant-established center to advance robotics in poultry processing

By Fred Miller
U of A System Division of Agriculture

FAYETTEVILLE, Ark. — Researchers in Arkansas and two other states will be using a $5 million grant to increase use of artificial intelligence and robotics in chicken processing to reduce waste in deboning and detect pathogens.

COLLABORATION — The Center for Scalable and Intelligent Automation in Poultry Processing, established by a $5 million USDA-NIFA grant, aims to adapt robotic automation to the poultry processing industry. (U of A System Division of Agriculture photo)

The grant from the U.S. Department of Agriculture’s National Institute of Food and Agriculture will establish the Center for Scalable and Intelligent Automation in Poultry Processing. The center, led by the University of Arkansas System Division of Agriculture, will join researchers from five institutions in three states in efforts to adapt robotic automation to chicken meat processing.

Project director Jeyam Subbiah said the Arkansas Agricultural Experiment Station, the research arm of the Division of Agriculture, will receive $2.2 million from the grant primarily to focus on food safety automation for poultry processing plants. The grant is for four years.

Subbiah is a professor and head of the food science department for the Division of Agriculture and the Dale Bumpers College of Agricultural, Food and Life Sciences at the University of Arkansas.

The Georgia Institution of Technology, better known as Georgia Tech, is a major partner in the project, Subbiah said. $2.1 million of the grant will go to Georgia Tech to focus on automating the processing lines that turn chickens into meat.

The remaining grant money will be divided between Julia McQuillan, Willa Cather professor of sociology at the University of Nebraska-Lincoln, and Brou Kouakou, associate dean for research at Fort Valley State University in Georgia.

Jeff Buhr, a USDA Agricultural Research Service scientist, will contribute his expertise in broiler physiology to guide robotic deboning of meat, Subbiah said.

Georgia is the nation’s top broiler producer. Arkansas is number 3, according to 2021 figures from USDA.

Meeting the challenge

The recent impetus to automate chicken processing began with the COVID-19 pandemic, Subbiah said. The illness spread quickly among workers on the processing line. Since the worst of the pandemic, the poultry industry, like many others, has been having trouble hiring enough workers.

“Poultry processing lines began 70 to 80 years ago,” Subbiah said. “Since then, there have been only incremental changes in technology. Today, there’s a need for transformative change.”

Robotic hands are not adept at holding a chicken, he said. New technology is needed to prevent dropping slippery meats. Separating the carcasses into cuts of meat is also tricky.

“It’s hard enough to teach people how to use a knife with precision,” said Dongyi Wang, assistant professor of biological and agricultural engineering for the Arkansas Agricultural Experiment Station. “Robotics are fit for repetitive tasks but don’t do well with the precision needed to cut up chicken products.”

For example, he said humans could feel when a knife hits a bone. In contrast, existing automation in poultry processing, like deboners, wastes a lot of meat.

“Human deboners leave about 13 percent of meat on the bones,” Subbiah said. “Automated deboners leave 16 to 17 percent. On an industrial scale, that’s a significant loss in value. We will use artificial intelligence and virtual reality to improve precision and reduce wastage.”

Automation can relieve labor shortages, Subbiah said. It also allows plants to locate in rural areas with a smaller labor force but nearer poultry houses and with lower property costs.

Initially, people working remotely may help advance robotic processing. Subbiah envisions workers logging on from home with virtual-reality goggles and haptics gloves to control robots located miles away.

While working remotely, the labor force will teach artificial intelligence how to cut up chickens of varying sizes and shapes.

“Automated machines right now are programmed to debone or cut up chickens based on an average size and shape. But no chicken is that size or shape,” Subbiah said. “Robot-wielded knives cut meat poorly. The machines have to learn how to adjust to the reality of random sizes and shapes.”

Research team

Arkansas’ research will involve scientists from at least three departments:

  • Subbiah, Kristen Gibson and Philip Crandall from the department of food science — Gibson is also affiliated with the Center of Excellence for Poultry Science

  • Casey Owens and Tomi Obe from the department of poultry science and the Center of Excellence for Poultry Science

  • Dongyi Wang and Yanbin Li from biological and agricultural engineering — Wang also has an appointment in food science, and Li is affiliated with the Center of Excellence for Poultry Science

The primary focus of Arkansas Agricultural Experiment Station researchers will be to automate food safety practices. Subbiah said they will develop robots that monitor processing lines for pathogens like Salmonella and maintain clean and safe spaces and equipment.

Wang and Subbiah will also develop hyperspectral imaging to detect plastics in chicken meat, Subbiah said. Wang will also develop a mobile robot that is equipped with a biosensor invented by Li to produce a biological map of the facility. The “biomap” will be used to evaluate the efficacy of sanitation.

Where the biomap indicates potential hot spots, the robot will automatically collect swabs to test for bacteria. Gibson and Obe will analyze the biomap and develop strategies to enhance food safety.

Owens and Crandall will conduct outreach activities to extend new knowledge and technology to the industry. 

Georgia Tech’s participating scientists are all faculty of the Georgia Tech Applied Research Corporation:

  • Doug Britton, manager of the Agricultural Technology Research Program

  • Colin Trevor Usher, senior research scientist and branch head of robotics systems and technology, Agricultural Technology Research Program

  • Ai-Ping Hu, principal research engineer, Agricultural Technology Research Program

  • Konrad Ahlin, research engineer, Intelligent Sustainable Technologies Division

  • Michael Park, research engineer, Intelligent Sustainable Technologies Division

  • Benjamin Joffe, research scientist, Intelligent Sustainable Technologies Division

  • Shreyes Melkote, the Morris M. Bryan, Jr. Professorship in Mechanical Engineering, associate director of the Georgia Tech Manufacturing Institute and executive director of the Novelis Innovation Hub

Collaborative research

“We are thrilled to partner with our colleagues here in the Division of Agriculture, as well as our colleagues at Georgia Tech and the other participating institutions on this exciting project,” said David Caldwell, head of the Division of Agriculture’s poultry science department and director of the Center of Excellence for Poultry Science.

“We expect the findings from these coordinated research projects will be impactful for our stakeholders in the commercial poultry industry here in Northwest Arkansas and throughout the entire industry,” Caldwell said. “This project will help keep moving technology forward in processing and food safety of poultry.”

Britton said his team was very excited to work on this project with the University of Arkansas System Division of Agriculture, Fort Valley State University, and the University of Nebraska-Lincoln.

“The ultimate goal is to drive transformational innovation into the poultry and meat processing industry through automation, robotics, AI, and VR technologies,” Britton said. “Building on years of work in the GTRI Agricultural Technology Research Program, we are pleased to see that the USDA-NIFA has chosen this team to continue these efforts.”

Hu said, “GTRI is excited to work on such an impactful project with our fellow institutions. The last few years have highlighted the need for new technological innovations in the meat and poultry production space, which we plan to address through robotics, virtual reality, and artificial intelligence.”

McQuillan, from the University of Nebraska-Lincoln, said it was exciting to be part of a multi-institutional team discovering innovative ways to improve poultry processing through automation. “As a social scientist who has studied work and health challenges and who is starting to work with extension faculty in Rural Prosperity Nebraska, this project provides great new opportunities,” she said.

McQuillan will study the effects of robotics on poultry industry laborers and how they perceive the technology.

“We hope eventually to bring new owner-operated businesses to rural areas,” McQuillan said. “Collaborating with food scientists, computer scientists, extension faculty and robotics engineers provides amazing opportunities to understand the meanings of innovations for entrepreneurs, workers, and other stakeholders, and to advance fundamental theories about science, technology, and society in sociology.”

Kouakou, from Fort Valley State University, will investigate the application of technology developed in this project to other meat processing industries. He said he was excited about working with this team of collaborators.

“Our state-of-the-art meat processing plant at the Georgia Small Ruminant Research and Extension Center on campus will serve as a resource to extend the technology developed by the Center for Scalable and Intelligent Automation in Poultry Processing to red meat species,” Kouakou said. “This research will greatly benefit our students and processors to observe artificial intelligence in meat processing.”

To learn more about Division of Agriculture research, visit the Arkansas Agricultural Experiment Station website: https://aaes.uada.edu/. Follow us on Twitter at @ArkAgResearch and on Instagram at @ArkAgResearch. To learn more about the Division of Agriculture, visit https://uada.edu/. Follow us on Twitter at @AgInArk.

Researchers use AI to assist with early detection of autism spectrum disorder

By Hardin Young
University of Arkansas

FAYETTEVILLE, Ark. — Could artificial intelligence be used to assist with the early detection of autism spectrum disorder? That’s a question researchers at the Arkansas Agricultural Experiment Station and the University of Arkansas are trying to answer. But they’re taking an unusual tack.

FOOD CLUES — Han-Seok Seo, associate professor of food science at the Arkansas Agricultural Experiment Station.

Han-Seok Seo, an associate professor of food science with the Agricultural Experiment Station, the research arm of the U of A System Division of Agriculture, and Khoa Luu, an assistant professor in computer science and computer engineering at the U of A, will identify sensory cues from various foods in both neurotypical children and those known to be on the spectrum. Machine learning technology will then be used to analyze biometric data and behavioral responses to those smells and tastes as a way of detecting indicators of autism.

There are several behaviors associated with ASD, including difficulties with communication, social interaction or repetitive behaviors. People with ASD are also known to exhibit some abnormal eating behaviors, such as avoidance of some foods, specific mealtime requirements and non-social eating. Food avoidance is particularly concerning, because it can lead to poor nutrition, including vitamin and mineral deficiencies. With that in mind, Seo and Luu intend to identify sensory cues from food items that trigger atypical perceptions or behaviors during ingestion. For instance, odors like peppermint, lemons and cloves are known to evoke stronger reactions from those with ASD than those without, possibly triggering increased levels of anger, surprise or disgust.

Seo is an expert in the areas of sensory science, behavioral neuroscience, biometric data and eating behavior. He is organizing and leading this project, including screening and identifying specific sensory cues that can differentiate autistic children from non-autistic children with respect to perception and behavior.

Luu is an expert in artificial intelligence with specialties in biometric signal processing, machine learning, deep learning and computer vision. He will develop machine learning algorithms for detecting ASD in children based on unique patterns of perception and behavior in response to specific test-samples. 

This is the second year of a three-year, $150,000 grant from the Arkansas Biosciences Institute.

Their goal is to create an algorithm that exhibits equal or better performance in the early detection of autism in children when compared to traditional diagnostic methods, which require trained healthcare and psychological professionals doing evaluations, longer assessment durations, caregiver-submitted questionnaires and additional medical costs. Ideally, they will be able to validate a lower-cost mechanism to assist with the diagnosis of autism.

While their system would not likely be the final word in a diagnosis, it could provide parents with an initial screening tool. Ideally, it would screen out children who are not candidates for ASD while ensuring the most likely candidates pursue a more comprehensive assessment.

Seo said that he became interested in the possibility of using multi-sensory processing to evaluate ASD when two things happened: he began working with a graduate student, Asmita Singh, who had background in working with autistic students, and the birth of his daughter.

Like many first-time parents, Seo paid close attention to his newborn baby, anxious that she be healthy. When he noticed she wouldn’t make eye contact, he did what most nervous parents do — he turned to the internet for an explanation. He learned that avoidance of eye contact was a known characteristic of ASD. 

While his child was not diagnosed with ASD, his curiosity was piqued, particularly about the role sensitivities to smell and taste play in ASD. Further conversations with Singh led him to believe other anxious parents might benefit from an early detection tool — perhaps inexpensively alleviating concerns at the outset.

Later conversations with Luu led the pair to believe that if machine learning, developed by Luu’s graduate student Xuan-Bac Nguyen, could be used to identify normal reactions to food, it could be taught to recognize atypical responses, as well.

Seo is seeking volunteers 5-14 years old to participate in the study. Both neurotypical children and children already diagnosed with ASD are needed for the study. Participants receive a $150 eGift card for participating and are encouraged to contact Seo at hanseok@uark.edu.

To learn more about Division of Agriculture research, visit the Arkansas Agricultural Experiment Station website: https://aaes.uada.edu/. Follow us on Twitter at @ArkAgResearch and on Instagram at @ArkAgResearch. To learn more about the Division of Agriculture, visit https://uada.edu/. Follow us on Twitter at @AgInArk.