New AI-assisted Climate Study Reveals What Urban Heat Really Feels Like
The Institute for Sustainability, Energy, and Environment (iSEE) is accepting proposals to support interdisciplinary research, visioning, and planning activities on ambitious topics related to sustainability, energy, and environment. The iSEE seed funds are available to promote meaningful research collaborations among faculty and scientists across campus and to raise the national visibility of U. of I. and the research team in the topic area. The specific goal of the funding is to expedite the coalescence of interdisciplinary research teams that touch on any of the thematic areas of interest to iSEE and to develop multiple strong, large-scale (>$1M) proposals that can be submitted for external funding through iSEE in 2026-27.
Three types of proposals are invited:
All proposals must meaningfully involve researchers from at least two different disciplines and two different campus units. Proposals should address research questions in one or more iSEE thematic areas of climate solutions, energy transitions, secure & sustainable agriculture, sustainable infrastructure, and water & land stewardship. Along with these themes are the cross-cutting topics of circular bioeconomy and policy.
Successful applicants for the seed funding and CALL projects will be expected to submit external funding proposals related to this seed funding through iSEE in 2026-27. Applicants for Visioning and Planning Activities proposal should explain how their activities will promote multi-disciplinary, multi-institutional collaborations that need a long lead time to develop a team to submit a proposal for a large, team-based Center-type grant.
Successful external funding proposals submitted through iSEE will not affect indirect cost recovery to the home department of the PIs. iSEE will provide personnel support for event planning, proposal development, and, in the case of successful external proposals, post-award management. Recipients will also work with iSEE to communicate the findings of their activities, research, publications, and other outcomes.
Proposals are invited from faculty and scientists who are currently eligible to serve as PIs on proposals for external funding (e.g., tenured/tenure-track faculty, research professors, research scientists). Postdocs are not eligible to apply. Updated versions of previously submitted proposals may be resubmitted if feedback from the iSEE review has been addressed. The proposal will be submitted through an online portal with the following sections:
Additionally, a single compiled PDF with the following documents for the principal investigator (PI) and co-investigators (co-Is) is required: (i) a CV (up to three pages) that includes five most relevant recent publications and five other publications; (ii) a summary of all internal and external current and pending research funding; and (iii) an itemized budget (with no F&A or fringe benefits included). SciENcv is the recommended format for CV and current and pending.
The deadline for proposal submissions is 5 p.m. Wednesday, April 8, 2026, uploaded to the OVCRI Special Programs site. Applicants will be informed about final funding decisions by mid-May, with a start date for funding beginning or after August 15, 2026.
Questions about this RFP may be addressed to Jeremy Guest, iSEE Associate Director for Research at jsguest@illinois.edu.

Existing global energy projections underestimate the impact of climate change on urban heating and cooling systems by roughly 50% by 2099 if greenhouse gas emissions remain high, researchers report. This disparity could profoundly affect critical sustainable energy planning for the future.
Existing studies predominantly concentrate on chemical feedback loops, which are large-scale processes involving complex interactions between energy use, greenhouse gas emissions and the atmosphere. However, a research group at Illinois focuses on the often-overlooked physical interactions between urban infrastructure and the atmosphere that can contribute to local microclimates and, ultimately, global climate.
A new study led by Lei Zhao, Assistant Professor of Civil and Environmental Engineering, emphasizes that smaller-scale city-level waste heat from residential and commercial property heating and cooling efforts can lead to big impacts on local climates and energy use. The study findings are published in the journal Nature Climate Change.
Zhao’s research was seed-funded by iSEE to help climate scientists model the dynamics between climate change and urbanization — and inform policymkers and planners of potential climate solutions.
An iSEE seed-funded research project that uses robotics and artificial intelligence to autonomously manage “high tunnel” food production is entering its second year at the University of Illinois Sustainable Student Farm.
U. of I.’s Robot Integrated High Tunnels (RobInHighTs) team received a $975,000 USDA NIFA (National Institute of Food and Agriculture) grant in 2023 in addition to an iSEE Campus as a Living Lab (CALL) seed funding that same year.

High tunnels are metal frames covered in a heavy plastic often used in urban agriculture. Their main benefit is expanding the season that crops can be grown: they can be planted earlier in the spring and harvested later in the fall. In climates like the Midwest, where our ability to grow fresh produce year-round is hindered by the cold weather, this promises to be a huge advantage for local farmers. Additionally, high tunnels often increase crop yields by protecting the plants from severe weather and animals.
“We have seen a lot of interest from local farmers and community gardens to invest in high tunnels to grow specialty crops, but there are a few barriers to entry, like the initial cost of the tunnel and the amount of labor required to maintain the produce while it’s growing,” said Naveen Uppalapati, RobInHighTs’ primary investigator and a research scientist at the Center for Digital Agriculture within the National Center for Supercomputing Applications.
The hope is that RobInHighTs will reduce the amount of labor required, helping local farmers overcome one of those barriers.
The first challenge for the team was ensuring the robots could autonomously navigate between rows of crops. That technology already existed for corn and soybean fields but needed to be adapted for the smaller rows in high tunnels.
Using cameras, the robots monitor parts of the plant looking for signs of pest damage and indications that the plant is ready for harvest.
“Currently, we’re working on detecting pests and making sure that the robot can communicate which plants in the tunnel have signs of pest damage,” Uppalapati said. “That way, the farmer can treat only the plants that need it rather than the whole tunnel, reducing the amount of pesticide used.”
Team members also hope this will have economic benefits by filling in when there are labor shortages. Often, when fruits are mass produced, they all are ready for harvest at one time, and a labor shortage can mean huge amounts of waste simply because they weren’t harvested in time. Shadi Atallah, an associate professor of Agricultural and Consumer Economics, is collaborating with RobInHighTs to measure how many robots would be the equivalent of the amount of work one human can do.
The project’s USDA funding is set to continue through 2026 and has allowed team members to expand their areas of research and collaborate with similar research at Tuskegee University. The goal of that collaboration is to overcome barriers facing minority farmers, and Tuskegee is creating educational modules for this program. The project initially only included one robot to do data collection but now expanded to multiple robots that also do pest detection.
“Our goal for this year is to nail down all of the individual parts: row navigation, pest detection, and harvesting. In the next two years we aim to put them all together and have a robot that can do all that monitoring and send that information to the farmer,” Uppalapati said.
— Article and photos by Erin Minor, iSEE Communications Intern

There is a pressing global need to ensure the efficiency, sustainability, and resilience of transportation systems for both urban and rural communities. Transporting people and goods with fossil-fueled vehicles has long been recognized as unsustainable for most communities — but different communities will face different challenges. From electric vehicles to ride-sharing services, our transportation systems continue to evolve, and these new developments demand new research.
To this end, interdisciplinary experts at the University of Illinois are working together to investigate fundamental questions about infrastructure design and planning, energy sources, integration of transportation across multiple modes, public policy, and regulation.
The project, Sustainable Low-Carbon Alternatives for Meeting Mobility Needs of Urban and Rural Communities, aims to provide a grand vision and detailed engineering guidelines for next-generation decarbonized transportation systems. The vision and guidelines aim at serving the mobility needs of both urban and rural communities, and ensuring coupled clean energy supply for agricultural production, industry operations, and residential buildings, over the next 10-20 years.
iSEE is supporting the project with $300,000 — part of a $1 million anonymous gift that the Institute is designating for sustainability research initiatives.
“We are pleased to invest in research into holistic, next-generation transportation systems that sustainably and equitably serve the mobility needs of both urban and rural communities,” said Madhu Khanna, iSEE’s Alvin H. Baum Family Chair and Director. “This new project will address a range of open questions related to infrastructure design and planning, energy sources, transportation service integration, emission reductions and other environmental impacts, the economic and behavioral incentives to adopt alternative transportation modes, and the design of policies needed to accelerate this transformation.
“We are particularly excited to have Civil & Environmental Engineering Professor Yanfeng Ouyang lead an interdisciplinary team that will grow our research program in this area with a potential for attracting external funding.”
The team will focus on two initial efforts that will form a solid foundation for future work:
“Partnering with iSEE on this project has given us many valuable opportunities,” said Ouyang, who is the George Krambles Endowed Professor of Rail and Public Transit and also serves as Associate Director for Mobility at the Illinois Center for Transportation. “They’re supporting us not only with start-up funding for team building and for laying our foundational plans, but also by setting up roundtables with local industry and community leaders who are at the frontier of the sustainable mobility space.”
Ouyang’s co-PIs are Julie Cidell, Professor and Department Head of Geography & Geographic Information Science; Ria Kontou, Assistant Professor of Civil & Environmental Engineering; Philip Krein, Grainger Endowed Chair Emeritus in Electric Machinery and Electromechanics in Electrical & Computer Engineering; Lewis Lehe, Assistant Professor of Civil & Environmental Engineering; and Moses Okumu, Assistant Professor in the School of Social Work.
One of the first activities being organized by co-PIs connected with this project is a May 16-17, 2024, workshop titled “Envisioning Equitable Transitions to Sustainable Transportation Systems.” A diverse group of researchers, educators, industry professionals, and activists will discuss urgent questions about transitioning to low-carbon transportation systems — whatever they might be — while addressing the needs of all populations regardless of race, ethnicity, or socioeconomic standing.
The conference is jointly organized by the University of Illinois Urbana-Champaign and the University of Illinois Chicago (UIC) and is supported by generous funding from the Alfred P. Sloan Foundation.
— News release by April Wendling, iSEE Communications Specialist

With climate change driving temperature increases, water scarcity, and limited access to energy in urban areas, it has become more important than ever to understand the relationships between urban areas and their resources.
Lei Zhao, Assistant Professor of Civil and Environmental Engineering at the University of Illinois, works with a team of engineers and climate scientists to model the dynamics between climate change and urbanization. Their research, which has received seed funding from iSEE, helps inform policymakers and urban planners of potential climate solutions.
The software currently used by scientists to predict climate conditions and model land, ocean, and atmospheric dynamics, called the Earth Systems Modeling framework, may be underrepresenting urban environments. Zhao describes it as a “legacy issue,” in which the happenings in an urban environment are too small to cause any discernible changes in large-scale dynamics that traditional models were designed to capture. Additionally, because of the great heterogeneity of urban environments, specific details are often overlooked.
“Chicago is different from New York City. New York City is different from San Francisco. The textures and forms of those cities are not the same,” Zhao said.
There’s a common misconception about the availability of urban climate data. Urban weather stations are not placed in areas that are truly representative of the city’s environment.
“People might think urban environments are very data-rich, but in terms of climatology or meteorology, they’re not,” Zhao said. “When you walk into the city center, you’ll seldom see a weather station there. It’s typically in the airport or in some park, which doesn’t represent urban environments.”
Placing observational sites in truly urban areas causes logistical issues. In the city center, citizens prefer shopping malls and other recreational buildings over weather stations. So the lack of documentation from city centers causes a gap in research between the urban landscape and observational and modeling processes.
To address this, engineers and climate scientists are researching how to use process-based climate modeling and machine learning/artificial intelligence approaches to produce a simulation of climate dynamics that is representative of real urban landscapes. The new hybrid modeling framework leverages the few models that capture urban dynamics and integrates their fully coupled simulations with a physics-informed machine-learning approach.
Together, they provide global multi-model projections of local urban climates under different climate change scenarios, with an assessment of the associated robustness and uncertainties. With this framework, when public health or climate interventionists want to initiate change, they can use a model that is precise to the city of interest.
It’s an unfortunate reality in urban engineering that sustainability sometimes conflicts with resilience. Zhao warns that researchers must aim to strike a balance between strategies that make efficient use of energy and strategies that make cities more resilient to hazards and extremes.
Thankfully, many urban infrastructure experts have spearheaded efforts to prevent cities from being major sources of greenhouse gases while still prioritizing high-quality infrastructure. Zhao notes that targeting urban areas in particular may be the most effective way toward a sustainable future: “75% of final energy use is from cities. They’re hotspots of emission, even though they’re only 2-3% of the land. If we don’t act on cities, we won’t have a sustainable future.”
This urban hybrid modeling project is highly interdisciplinary, featuring a team of experts from different fields. Collaboration between atmospheric scientists and civil engineers helps bring the urban systems model to a broader scale. The two teams have weekly discussions about their research, some of which have led to other urban-related sustainability and climate pursuits.
“Our team has grown,” Zhao said. “For example, this project has led to a larger grant to explore how the wind and concentration of heat in the cities affects mosquitoes, and then how that affects dengue disease.”
When it comes to current research successes, Zhao highlights his students and postdocs and their work on urban humid heat stress (Joyce Yang), urban climate-energy interactions (Cathy Li), urban green stormwater infrastructure (Laura Gray), and global urban data and modeling development (Bowen Fang, Yifan Cheng, and Yiwen Zhang).
“Some of our students are working on nature-based solutions,” he said. “One of those solutions, green stormwater infrastructure, was designed for water infiltration and reduced flooding, but it has other co-benefits. Those benefits are what we are trying to evaluate.”
A long-term goal of this research is to advance global urban science, and consequently, global sustainability.
“I hope to build an advanced understanding of global science that is both fundamental and solution-oriented,” Zhao said.
The research team hopes that these findings will help inform decision-making policies and enable climate-sensitive urban design and engineering. Although cities are currently notorious for being energy-costly, pathogenic hotspots, accurate urban modeling can help transform them into resilient, sustainable, and livable spaces for generations to come.
— Article by iSEE Communications Intern Anjali Yedavalli


The prevalence of mosquito-borne disease has plagued urban communities for decades, prompting scientists to look to stormwater infrastructure for sustainable solutions. Brian Allan, Professor of Entomology at the University of Illinois Urbana-Champaign, leads an iSEE-supported research project exploring the use of environmentally sustainable “green infrastructure” to eliminate standing water environments necessary for mosquito larvae survival.
Existing stormwater infrastructure is typical in many urban environments, designed to capture and retain stormwater and prevent flooding. However, from an ecological standpoint, these catch basins are prime environments for urban mosquitoes to lay their eggs, thrive, and promote vector-borne disease outbreaks.
“Not only are we creating a ton of mosquito habitat, but it’s all physically disjunct,” Allan said. “From a management perspective, if you want to try to control the mosquitoes developing in those habitats, you have to go from catch basin to catch basin and put pesticides for mosquitoes in them, and there are millions of these basins in a city like Chicago.”
Conventional stormwater infrastructure causes other issues, too: Pollutants from the urban environment, such as oil from cars, sit in the basins until rain flushes them into surface waters, contaminating rivers, lakes, and streams.
Green infrastructure is an engineering innovation designed to intercept the stormwater on-site. Unlike traditional catch basins, green infrastructure designs have permeable bottoms that allow the water to filter back into the soil.
Allan and his colleagues saw this existing sustainable solution as an opportunity to study how it might prevent mosquito growth — a potential “win-win” scenario. His team decided to investigate locations where green infrastructure was implemented to see if habitats for mosquito development decreased. Additionally, they were curious about the composition of the aquatic microbiome and how this impacted mosquito growth.
“We are very familiar with the microbiome inside our bodies,” Allan said. “Mosquitoes have a microbiome as well … there’s potential that the microbiome can be manipulated in some way that’s not beneficial to mosquitos.” The area around the basins could play a key role in altering the microbiome composition of the mosquitoes, as the leaves are dropped and washed into the stormwater catch basin. The microbes that break down these leaves are a food source for mosquitoes and may result in different mosquito microbiomes forming.
On the basis of this observation, Allan’s former Ph.D. student Allison Gardner introduced leaves from different plants into the basins. She found that leaves from non-native plants, like bush honeysuckle, a common invasive species in eastern North America, were ideal for mosquito development. However, blackberry, a native species, had the opposite effect. Blackberry leaves created what is known as an “ecological trap.” Female mosquitoes expect that aquatic habitats containing blackberry leaves have optimal conditions for their larvae’s growth, but when they lay eggs in these habitats, the microbial growth there is detrimental to larval survival. “It looked to be an organic form of mosquito control,” Allan said; blackberry leaves appear to be just as effective as larvicides.
The sustainability of green infrastructure and the mosquito control component are parallel functions.
“We’re looking to bring them together, particularly in the context of rain gardens, because rain gardens are one of the forms of green stormwater infrastructure that eliminates the aquatic habitat for larvae, but they’re also landscaped with various plants,” Allan said. His research team hopes to explore the potential for mosquito control through landscaping rain gardens with plant species, such as blackberries, that inhibit larval growth.

As Allan describes it, prioritization of human health can be used as a tool in sustainability: “If you can do something that benefits people’s health, they’re much more likely to support an environmental solution than one that doesn’t benefit human health.”
One current aim of the project is to analyze the effects of rain barrels, a standard green infrastructure tool that might negatively impact human health. They are becoming popular green stormwater tools for homeowners, who buy these barrels, hook them up to a gutter system, and reuse the water that is collected. While a good idea for water conservation, the barrels can quickly become colonized by mosquitoes. An analysis of a residential rain barrel survey by current Ph.D. student Becky Cloud indicates that the main culprit is the debris screen that tops the barrels. Most homeowners find that the screen gets clogged and end up removing it early in their ownership. However, as the primary barrier between the water and mosquitoes, the screen’s removal is actually quite harmful. The simple solution is to clean the screen and reapply it.
This finding gave Allan and his team the motive to engage in community outreach to explain the science behind green infrastructure.
“I think that’s an example of where I feel, as a scientist, an obligation to communicate my findings to the public,” Allan said. “If I just publish that in a journal that only other scientists will read, that’s really not the most useful thing I could do.”
Educating the community about sustainability, green infrastructure, and mosquito-borne diseases is necessary to elicit change. The public is much more likely to support causes that are both sustainable and beneficial to human health, and discovering more of these “win-win” scenarios is an important motivating factor of research today. Inspiring the community through education can lead to collective action and a more harmonious co-existence between urban society and nature.
Allan has taken an active role at iSEE in helping to organize two major events: a 2019 Critical Conversation on genetically modified mosquitoes, which resulted in a widely read op-ed piece in The Conversation; and the most recent iSEE Congress in Spring 2023: “Addressing Crises of Planetary Scale: Lessons from Pandemics and Climate Change.”
The Stormwater & Mosquito Control Project was funded by a seed grant from iSEE in 2015 and has since been extended with two major National Science Foundation awards and a U.S. Geological Survey grant.
— Article by Anjali Yedavalli, iSEE Communications Intern
The Institute for Sustainability, Energy, and Environment (iSEE) is providing seed funding for two new research projects at the University of Illinois Urbana-Champaign that will use automation to enhance waste sorting for campus recycling efforts and reduce manual labor costs in small urban farming operations.
Both projects are funded through iSEE’s 2023 Campus as a Living Laboratory (CALL) program, which supports research teams that tackle interdisciplinary sustainability issues on campus or in neighboring communities. They focus on leveraging campus infrastructure and enhancing researchers’ capacity to address critical knowledge gaps and ultimately secure major federal, foundation, or private funding.
“U of I researchers are applying the latest advances in machine learning and artificial intelligence (AI) technology to overcome environmental challenges confronting our communities and the world at large,” said Jeremy Guest, iSEE Associate Director for Research. “Through these grants, our engineers, scientists, and university staff will tackle the pervasive problem of municipal waste and help make sustainable farming more accessible to all, using our own facilities as a model.”
The U.S. EPA estimates that half of municipal solid waste ends up in landfills, contributing to significant methane emissions that harm our climate, and the problem is growing with the spread of urbanization. New refined resource recovery methods are needed to expand recycling and meet the demands of global recycling firms for higher-quality material. Robotic systems with mechanical arms and machine learning can sort waste more efficiently, reducing processing time and turning waste into treasure.
A new project led by Nishant Garg, Assistant Professor of Civil and Environmental Engineering, will use advances in computer vision to more efficiently classify the more than 5,000 tons of waste generated on campus each year, which is now sorted by hand for recycling. Using cameras installed at the Waste Transfer Station, a machine-learning model will classify waste on a conveyer belt into six categories: paper, plastic, food, metal, glass, and yard waste. It will feed that data into a live dashboard, to motivate the campus community to follow best practices for waste disposal and recycling and to help meet zero-waste goals in the Illinois Climate Action Plan (iCAP).
Another new project addresses the manual labor costs associated with high tunnels — curved metal structures covered with greenhouse plastic that are ideal for growing plants on small urban farms. Cost-effective and adaptable, these high tunnels can extend the growing season, protect against severe weather, increase crop yields, and improve the quality of fruits, vegetables, and cut flower. But they are labor-intensive, requiring an extra layer of management to ensure quality crops.
The Robot Integrated High Tunnels (RobInHighTs) project will use AI-powered robotics to automate operations for high tunnels at the Sustainable Student Farm – leading to improved crop yields, reduced manual labor costs, and higher profits. Led by Naveen Kumar Uppalapati, Research Scientist at the National Center for Supercomputing Applications (NCSA), the team will also evaluate the profitability of RobInHighTs and identify barriers to their use by urban and minority farmers. RobInHighTs can ultimately help transition amateur urban gardeners and growers into profitable long-term farmers, enabling efficient and fresh local food production and opening up new income streams for small and underserved communities.
Read more about the Campus as a Living Lab program and current and past projects >>>
Seed-funded teams are expected to work with iSEE to submit proposals for external funding of at least $1M.
“We are excited to work with these teams to help grow these projects into full-fledged interdisciplinary research programs,” Guest said.
— News release by Julie Wurth, iSEE Communications Specialist
In 2021, iSEE helped establish the I-FARM, securing seed-funding through the Campus as a Living Laboratory program. The project was later fully funded in 2022, thanks to a three-year, $3.9 million grant from USDA NIFA.
Naveen Uppalapati, a National Center for Supercomputing Applications (NCSA) Research Scientist on the I-FARM Operating Team offers answers to some Frequently Asked Questions about the I-FARM.
The I-FARM, short for Illinois Farming and Regenerative Management, is an 80-acre agricultural testbed funded by the U.S. Department of Agriculture’s National Institute of Food and Agriculture (NIFA) for three years and $3.9 million. I-FARM researchers test new synergistic, sustainable, and regenerative practices for growing commodity crops and raising livestock.
I-FARM researchers will begin to study the implementation and adoption of novel farm management practices enabled by a wide range of digital technologies developed at the University of Illinois. These technologies include autonomous robots and remote sensing powered by artificial intelligence. Before I-FARM technologies can be brought to production farming, researchers must evaluate their benefits in production settings and mitigate any costs or risks.
The I-FARM’s autonomous robots can aid in cover crop planting and spot reseeding, scout under the crop canopy, implement variable rate nutrient management, and perform mechanical weeding. Additionally, they can assist with pest monitoring, targeting spraying, and harvesting delicate crops such as berries.
I-FARM researchers envision that low-cost, compact, and intelligent agricultural robots will enable the large-scale adoption of sustainable farming practices. This research project aims to make robots more accessible and profitable for farmers.
From satellite remote sensing to proximal soil moisture sensors, the I-FARM employs a large variety of data collection technology. Stationary trail cameras collect dense temporal data about canopy structure and leaf color, while drones capture images from above the field. Along with traditional data collection, I-FARM robots collect plant trait data and are equipped with cameras for the precision management of livestock.
For an I-FARM experiment to be successful, it should improve sustainability on the farm while remaining practical for farmers. This past year, researchers measured the impact of autonomous cover crop planting (cereal rye) before the harvest of the commodity crop (corn). The success of this experiment will be based on how well the cover crop emerges and reduces soil erosion compared to traditional planting on cover crops after the commodity crop is harvested.
In the long run, the I-FARM aims to develop a team of autonomous robots that a single person can operate simultaneously. This will increase the efficiency of using the robots for individual farmers.
The I-FARM offers demonstration days for farmers to meet with researchers, engineers, economists, and farm managers who study our testbed. Farmers can interact with autonomous robots, advanced equipment, and computational systems. Demonstration days provide farmers with detailed information on how the technology works and how it integrates sustainability and profitability.
As part of I-FARM outreach efforts, researchers are developing a multi-faceted training program called I-FARM University. This program aims to familiarize farmers with AI-based digital agriculture technologies and increase their comfort with the testing and adoption of these technologies.
I-FARM researchers hope to commercialize the digital technologies developed on our testbed. The I-FARM testbed is open for collaboration with outside industries so those industries can utilize our team’s technology, equipment, space, and expertise.
A significant hurdle for the I-FARM team to overcome is the current cost of implementing these technological solutions. Much of the technology employed by the I-FARM is not produced in bulk or available commercially. If we can scale these technologies up, they will become more affordable for farmers.
The other complication is that the new technologies developed at the I-FARM testbed are constantly improving and evolving monthly (or even daily). Because of this, farmers looking to implement our solutions face a steep learning curve.
Many farmers understand the benefits of regenerative and sustainable farming practices but need assistance adopting novel digital technologies. More farmers will become comfortable with the new technology through I-FARM outreach and engagement.
Our technologies are also scale-neutral, meaning they are beneficial at both small scales and large scales. Therefore, farmers can try out the technology in a small portion of their farms first and then adopt it to more significant portions of their fields.
Additionally, the I-FARM plans to create a decision support system by providing fact sheets based on data collected from the I-FARM testbed. This system will explain regenerative practices’ long-term costs and benefits to encourage more farmers to implement them. The data will be available online and promoted at events attended by the I-FARM team.
Our team hopes that conventional agriculture will be redefined so that environmental health — from soils to ecosystems — is as highly valued as crop yield. Hopefully, many more farmers will adopt digital technology to enhance regenerative farming practices.
Thanks to the new NIFA grant, the I-FARM will incorporate more regenerative practices powered by digital agriculture on the testbed. Over the next two years, the team will collect reliable long-term data to fully evaluate the testbed experiments’ success. Researchers will focus on improving I-FARM technology, making it more robust and accessible to farmers.
I-FARM researchers hope to involve more industry and farm stakeholders in our experiments, and technology development, to implement sustainable management decisions, improve farm productivity, and enhance farm profitability.