Monday, March 02, 2026

 

New Virginia Tech/University of Vermont study reveals what crop advisors really want from AI tools



Findings highlight trust, transparency, and human-centered design as key to Artificial Intelligence adoption in agriculture




University of Vermont

Young Farmer working with a Crop Advisor 

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Young Farmer working with a Crop Advisor as part of the UVM Farmer Training Program

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Credit: UVM College of Agriculture and Life Sciences





Burlington, Vt. — Feb 25, 2026 — A new peer-reviewed study co-authored by Virginia Tech and University of Vermont researchers offers one of the first, large-scale empirical looks at how Certified Crop Advisors (CCAs) across North America evaluate the next generation of artificial intelligence–enabled decision support systems (AI‑DSS) for agriculture. Published in Technological Forecasting and Social Change (Elsevier), the study identifies the specific design features that most influence whether trusted agricultural advisors will choose AI tools—and what might hold them back.

The research that was conducted in collaboration with the American Society of Agronomy was led by Maaz Gardezi an Associate Professor in the School of Public and International Affairs at Virginia Tech, with co-authors from UVM: Professor Asim ZiaProfessor Donna M. RizzoResearch Associate Professor Scott C. Merril, UVM graduate students Benjamin E.K. Ryan and Halimeh Abuayyash, and Virgina Tech Graduate Students Indunil Dharmasiri, Pablo Carcamo, Bhavna Joshi. Additional collaborators were David Clay Distinguished Professor at South Dakota State University and John McMaine Extension Associate Professor at University of Kentucky.  The research team used a discrete-choice experiment to analyze how crop advisors weigh trade-offs among cost, accuracy, spatial precision, and data ownership when evaluating AI-based systems.

Key Findings

  • Simplicity and usability matter most. Advisors consistently favored systems that were easy to use and incorporated satellite data over more complex, ultra-accurate tools requiring intensive data inputs.
  • Trust depends on transparency and data governance. Cost and data ownership emerged as major determinants of adoption, with advisors preferring systems that allow users to retain full or shared control over their data.
  • AI shouldn’t replace professional judgment. Crop advisors favored AI-DSS tools that augment rather than automate their work, valuing editable recommendations, local calibration, and field-verification options.
  • Tech attitudes shape adoption. Advisors with more optimistic views of AI were more open to data-intensive systems, while those with privacy concerns were less likely to adopt tools that require extensive farmer data.

Maaz Gardezi the study’s PI summarizes the important insight of the research in this way, “Technical performance of AI tools matters in agriculture, but cost and data ownership—especially shared or open models—are pivotal to selection. Crop advisors prefer systems that augment rather than replace professional judgment.”

A Turning Point for Agricultural AI

The study arrives at a time when AI-generated predictions, classifications, and recommendations are increasingly used to guide decisions involving fertilizer application, pest and disease management, irrigation scheduling, and carbon and nutrient accounting. Yet adoption has lagged, especially among mid-sized and smaller farms, due partly to concerns about privacy, affordability, transparency, and trust.

“Certified crop advisors are among the most trusted technical experts that farmers in the US turn to,” said Asim Zia, Professor of Public Policy and Computer Science at UVM. “Designing AI decision tools that enhance, not replace, their expertise is essential for building agricultural systems that are productive, equitable, and climate‑resilient.”

A Socio-Technical Framework for Trustworthy AI

The authors argue that AI developers and policymakers must take a socio-technical approach that aligns algorithms with the real-world values and constraints of the people expected to use these tools. Their findings recommend:

  • Co-creation with crop advisors and farmers during development
  • Transparent cost structures and clear communication of trade-offs
  • User-controlled data governance models
  • Human-in-the-loop designs that preserve advisor autonomy

“These insights help move AI for agriculture beyond performance metrics,” said study co-author Donna Rizzo, Dorothean Chair and Professor of Civil & Environmental Engineering at UVM. “The goal is trustworthy, context-sensitive tools that work for diverse farms and advisory systems.”

About the Study

The article, A socio-technical framework for analyzing crop advisors’ preferences for AI-based decision support systems,” appears in the May 2026 issue of Technological Forecasting and Social Change. The research was supported by the National Science Foundation (Grant Nos. 2202706 and 2026431) and the USDA National Institute of Food and Agriculture (Award No. 2023‑67023‑40216).

Sustainability, community, and… food




Singapore Management University
SMU Associate Professor Michelle Lim 

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SMU Associate Professor Michelle Lim is helping to shape project to do more with edible native plants in the areas of food sustainability and community.

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Credit: Singapore Management University




By Vince Chong

SMU Office of Research Governance & Administration – Well-planned urban spaces. Edible flora that already flourish in Singapore’s tropical clime and cultures. A community to bring them together.

That in a nutshell is the key objective of SMU’s Nature-Food Futures Learning Precinct project, which involves setting up the eponymous precinct within the university for “hands-on learning and research about native edible plants”. Through this, SMU aims to link together not just its own community of staff and students, but that of neighbouring areas as well. The project thus mobilises the new impact agenda of SMU’s 2030 Strategic Plan especially by “shaping public policy, strengthening social resilience and improving the quality of life in communities”. 

The two-year initiative will also analyse how laws and policies can be shaped to promote such integration, and scale up the growth and use of edible plants. This includes, in the private law space, reviewing green supplier contracts – agreements with gardeners, nurseries, fertiliser vendors, etc. – to see if they might in the future cover the growing and harvesting of native edibles. It will also evaluate laws that govern the use of urban space – for example, rooftops and kerbsides – for growing food.

Nurtured with Singapore’s multi-agency Green Plan 2030 in mind, Nature-Food Futures will be driven by SMU’s Yong Pung How School of Law alongside its Office of Campus Infrastructure and Services (OCIS), and Office of Dean of Students (ODOS). It is also supported by the SG Eco Fund, which is administered by the Ministry of Sustainability and the Environment, as the country pursues a sustainable future in the face of climate change.

SMU Associate Professor Michelle Lim, whose work focuses on sustainability law, has been tasked with the project’s legal research but the “really cool thing” about Natures-Futures Learning, she said, is the high level of community engagement over food security that it aims to inspire. Joining her in the project are environment and sustainability experts Ms Pam Wan and Dr Patrick Shi, respectively from ODOS and OCIS.

“The law is one part of it, but what I really like is its city-in-nature approach in wanting to engage communities inside and outside of SMU,” Professor Lim told the Office of Research Governance & Administration (ORGA). SMU’s location in the middle of a concrete jungle like Singapore, she noted, makes it well placed to discover how urban space best facilitates sustainable food growth.

“This is a research project but not one in the traditional sense… the key emphasis is how we bring the community on board, how do we bring faculty and students on board, while addressing this very crucial area of food security alongside Singapore’s Green Plan.”

Planting, learning, discussing

Nature-Food Futures will kick off with small-scale planting on rooftops to “assess the aesthetic and functional impact” of native edibles, its proposal sets out. It will then expand to locations such as road verges and planter boxes in common area and corridors. These will ideally support the planting of roughly 15 types of native edibles such as daun kadukgotu kolasayur manis, lemongrass, pandan, and bamboo orchid, some of which could also replace existing landscaping plants on campus where locations are suitable for growth.

The project aims to attract at least 100 participants including SMU students, staff, and faculty, as well as members of the public who live or work in the vicinity. It hopes to target “30 consistent participants” out of these over two years, and convince at least five F&B tenants on university grounds to adopt the on-campus edibles into their menus.

The tendency for many city planners and researchers is to engineer and force an outcome, Professor Lim said. Nature-Futures Learning takes the simpler approach of letting nature take its own course.

“A lot of plans regarding food security in urban centres involve indoor, multi-storey, energy-intensive environments with ultraviolet lights and humidity controls,” Professor Lim said. 

“For us, we recognise first that it is easy to grow plants here (in tropical Singapore). So, if we grow edible plants that are native and already flourishing here, and we grow them well in the city centre with the community’s help, we have the chance to set a great example that can be replicated across all urbanised parts of the country.”

In fact, she added, plants like daun kaduk are already used widely in Singapore for ornamental purposes. She learnt later from a student that it is also used in Indian cuisine, an exchange that she said underlines the project’s aim “to strengthen and preserve the cultural heritage that is all around us.”

Impact: Integration across levels necessary

Going forward, Nature-Food Futures plans to engage the global research community by publishing at least two journal articles in leading academic publications, and organising no less than five discussions with legal academics and practitioners.

Combining infrastructure development and community engagement with legal research, the proposal states, will help with the development of “grounded and futures-focused sustainability law and policy.”

It also aims to produce course material that can be used in seminars and talks, and facilitate discussions with the industries such as the property sector. For example, Professor Lim said, a mall owner might well be interested in setting up a food garden in the shopping centre.

“This person would want to know what is allowed, what works, how should I draft my contracts with vendors and suppliers,” she explained.

Nature-Food Futures is expected to culminate in a food festival to be held at the relatively new SMU Connexion, a green complex built to bring communities together. It is expected, naturally, to feature food made from the planted edible plants. For such projects to succeed, Professor Lim continued, it is similarly necessary for different parts of the government, as well as industries, to come together. For example, there might be regulations concerning fertilisers and pesticides that clash with the planting of edible plants.  

“We see this across many jurisdictions, not just Singapore, where different sectors and departments are just trying to solve different parts of the same problem,” she said, adding that there “needs to be more of a systems approach where there is not just an understanding of what others are doing but importantly an embrace of the interconnectedness across society and nature.” 

“Our project will hopefully shed more light on how this can work while cementing SMU’s role as a University dedicated to making a positive impact on sustainability and society.” 

 

AI, monkey brains, and the virtue of small thinking




Cold Spring Harbor Laboratory
Dot detection 

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Pictures like these drove the large AI models’ responses “well beyond the response range for normal images,” according to the study.

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Credit: Cowley lab/CSHL





What does it take to make AI that can pass as human? Try massive clusters of supercomputers. To build human-like intelligence, computer scientists think big. However, for neuroscientists who want to understand how real brains work, today’s AI only goes so far, as it replaces one deeply complicated system (the brain) with another (AI). How then do we figure out the inner workings of the biological brain? To answer this question, Cold Spring Harbor Laboratory Assistant Professor Benjamin Cowley is thinking small.

In collaboration with Carnegie Mellon University Professor Matthew Smith and Princeton University Professor Jonathan Pillow, Cowley has helped develop a new AI model much smaller and simpler than today’s “state-of-the-art” systems, yet far better at illustrating how the brain makes sense of visual stimuli. In previous work, Cowley trained AI to anticipate neural responses in fruit flies. This time, he’s set his sights on macaque, a species of monkey whose brains are much closer to humans.

In a new study published in Nature, Cowley and colleagues present macaques with sets of carefully curated natural images and track which neurons in the animals’ visual cortex fire in response to each picture. From there, they first train large AI models to predict neural responses to specific images until they outperform competing models by more than 30%. Then, they use compression technology to shrink the large AI model to about 1/1,000 the size. The result is a vision model small enough for an email attachment.

Finding that AI models of the brain could be this tiny is huge in itself. But Cowley goes further, pinpointing the inner workings of these models. This analysis reveals something extraordinary. The compact model neurons all break down images into low-level features like edges and colors, then form unique preferences by consolidating this information in different ways. What does this mean for primates like us? Cowley offers one example: “In the monkey’s brain—and in our brains, too, most likely—there’s a group of V4 neurons that love dots.”

In other words, there are neurons in your brain that specialize in dot detection. That might seem random, but think about the key features of the face. What are eyes but dots loaded with information? Consider how important eye contact is in daily life.

Looking ahead, the findings have Cowley thinking about building AI models of mental health conditions. “For example, in Alzheimer’s dementia, we know synapses are lost,” he explains. “If we know the images that drive neurons to talk to each other, we can potentially rebuild synapses once thought lost to disease.”

Who knows? Thanks to work like this, one day you might be able to stave off—or even treat—neurodegenerative disease by looking at special pictures. Just wait and see.

 

International AI Art Biennale in Kraków




SWPS University
AI Art Biennale poster 

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The AI Art Biennale is an international, interdisciplinary event taking place in Kraków, curated and organized by SWPS University in Kraków in cooperation with leading institutions in the fields of art, science and culture.

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Credit: SWPS University





Join us on March 6-20 for the AI Art Biennale organized by SWPS University in Kraków. The program includes exhibitions, performances, artist talks, workshops, and a scientific conference.

The AI Art Biennale is an international, interdisciplinary event taking place in Kraków, curated and organized by SWPS University in Kraków in cooperation with leading institutions in the fields of art, science and culture. The Biennale’s artistic program is co-organized by the Faculty of Intermedia at the Academy of Fine Arts in Kraków; the scientific conference is co-organized by Cogiteon – MaÅ‚opolskie Centrum Nauki.

The leading theme of the Biennale is Creative Dialogue and Education with AI. The event focuses on phenomena related to artificial intelligence in culture and art, as well as its role in science, education, and technology.

The biennale tells a story about people,  about how art helps us explore our needs and reflects on our place in a fast-changing world. It looks at how new technologies influence our daily experiences, relationships, and perception of reality, said Magdalena PiÅ„czyÅ„ska PhD / Associate Professor,  Dean of the Faculty of Interdisciplinary Studies in Kraków, Biennale Concept Lead, Biennale Concept Lead.

The first edition of the Biennale will bring together 45 artists, experts, and researchers from over 6 countries, representing the fields of art, science, and education.

Exhibition [Un]Conscious Algorithms

The exhibition creates a space for reflection on how artificial intelligence influences the creative process – not only as a tool, but also as a medium, a partner, and at times an unpredictable co-author.

The Biennale exhibitions will present the latest works at the intersection of art, technology, and science, with a particular focus on practices employing artificial intelligence, generative algorithms, and interactivity. The  exhibition will explore the hidden layers of algorithmic processes—those that are implicit, intuitive, emotional, and unpredictable in the relationships between humans and machines. The curatorial team aims to create a space for reflection on consciousness, responsibility, and intention in art developed in dialogue with technology.

Conscious or unconscious? Artificial intelligence forces us to rethink what creative intention means. The exhibition becomes a laboratory in which we examine this boundary, not only technologically, but also emotionally and philosophically, said Patrycja Maksylewicz, PhD, from the Academy of Fine Arts in Kraków, Exhibition Curator.

The exhibition will feature artists from Poland and abroad, including participants from Germany, Denmark, France, and Spain. 

The exhibition is divided into five curatorial sections.

  • Algorithm as Artistic Medium

  • Ethical Frictions and the AI Black Box

  • Simulations of Consciousness

  • Human-Machine Collaboration

  • Codes of the Body: Identity Algorithms and Responsive Fashion


An International Conference

Creative Dialogue and Education with AI is an interdisciplinary conference that brings together perspectives from science, art, education, and emerging technologies. The event creates a shared space for ideas, experiences, and visions of the future, gathering researchers, experts, artists, and designers from Poland and abroad who actively shape the debate on the relationship between humans and technology.

The conference invites reflection on how artificial intelligence is transforming contemporary models of knowledge, creative and educational practices, and social relations. Its interdisciplinary format fosters the exchange of perspectives and critical dialogue – especially where technology intersects with human responsibility, sensitivity, and imagination.

The program consists of three thematic sessions: 

  • The Law, Ethics, and Education session focuses on the responsible development of artificial intelligence, addressing legal regulations, the ethical consequences of automation, and the challenges facing educational systems amid rapid technological change.

  • The Art session is dedicated to a creative dialogue with AI, exploring its role as an artistic tool, co-creator, and medium of critical reflection in areas such as contemporary art, architecture, design, and transmedia practices.

  • The Science session examines whether and how artificial intelligence accelerates scientific discovery, reshapes models of knowledge production, redefines the role of expertise, and influences the future of the university and research.

An integral element of the event is the Biennale Bot – an interactive, AI-based assistant that serves both as a guide to the conference and as a research tool.

One of the outcomes of the conference will be the research publication “Report 2027: Artificial Intelligence in Art, Science, and Education,” which will consolidate key insights from expert presentations and present the results of research conducted among Biennale participants and invited experts. 

Is AI a tool, a co-creator, or a threat to artists? How are art universities preparing students for the future, and are museums and galleries ready for algorithm-generated art? These questions are explored in a report based on the conference and meetings held during the Biennale, said Justyna Berniak-Woźny, PhD, from SWPS University.

Programme and registration: https://biennaleai.org