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jcmarchi · 2 months ago

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Translating MIT research into real-world results

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Translating MIT research into real-world results

Inventive solutions to some of the world’s most critical problems are being discovered in labs, classrooms, and centers across MIT every day. Many of these solutions move from the lab to the commercial world with the help of over 85 Institute resources that comprise MIT’s robust innovation and entrepreneurship (I&E) ecosystem. The Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) draws on MIT’s wealth of I&E knowledge and experience to help researchers commercialize their breakthrough technologies through the J-WAFS Solutions grant program. By collaborating with I&E programs on campus, J-WAFS prepares MIT researchers for the commercial world, where their novel innovations aim to improve productivity, accessibility, and sustainability of water and food systems, creating economic, environmental, and societal benefits along the way.

The J-WAFS Solutions program launched in 2015 with support from Community Jameel, an international organization that advances science and learning for communities to thrive. Since 2015, J-WAFS Solutions has supported 19 projects with one-year grants of up to $150,000, with some projects receiving renewal grants for a second year of support. Solutions projects all address challenges related to water or food. Modeled after the esteemed grant program of MIT’s Deshpande Center for Technological Innovation, and initially administered by Deshpande Center staff, the J-WAFS Solutions program follows a similar approach by supporting projects that have already completed the basic research and proof-of-concept phases. With technologies that are one to three years away from commercialization, grantees work on identifying their potential markets and learn to focus on how their technology can meet the needs of future customers.

“Ingenuity thrives at MIT, driving inventions that can be translated into real-world applications for widespread adoption, implantation, and use,” says J-WAFS Director Professor John H. Lienhard V. “But successful commercialization of MIT technology requires engineers to focus on many challenges beyond making the technology work. MIT’s I&E network offers a variety of programs that help researchers develop technology readiness, investigate markets, conduct customer discovery, and initiate product design and development,” Lienhard adds. “With this strong I&E framework, many J-WAFS Solutions teams have established startup companies by the completion of the grant. J-WAFS-supported technologies have had powerful, positive effects on human welfare. Together, the J-WAFS Solutions program and MIT’s I&E ecosystem demonstrate how academic research can evolve into business innovations that make a better world,” Lienhard says.

Creating I&E collaborations

In addition to support for furthering research, J-WAFS Solutions grants allow faculty, students, postdocs, and research staff to learn the fundamentals of how to transform their work into commercial products and companies. As part of the grant requirements, researchers must interact with mentors through MIT Venture Mentoring Service (VMS). VMS connects MIT entrepreneurs with teams of carefully selected professionals who provide free and confidential mentorship, guidance, and other services to help advance ideas into for-profit, for-benefit, or nonprofit ventures. Since 2000, VMS has mentored over 4,600 MIT entrepreneurs across all industries, through a dynamic and accomplished group of nearly 200 mentors who volunteer their time so that others may succeed. The mentors provide impartial and unbiased advice to members of the MIT community, including MIT alumni in the Boston area. J-WAFS Solutions teams have been guided by 21 mentors from numerous companies and nonprofits. Mentors often attend project events and progress meetings throughout the grant period.

“Working with VMS has provided me and my organization with a valuable sounding board for a range of topics, big and small,” says Eric Verploegen PhD ’08, former research engineer in MIT’s D-Lab and founder of J-WAFS spinout CoolVeg. Along with professors Leon Glicksman and Daniel Frey, Verploegen received a J-WAFS Solutions grant in 2021 to commercialize cold-storage chambers that use evaporative cooling to help farmers preserve fruits and vegetables in rural off-grid communities. Verploegen started CoolVeg in 2022 to increase access and adoption of open-source, evaporative cooling technologies through collaborations with businesses, research institutions, nongovernmental organizations, and government agencies. “Working as a solo founder at my nonprofit venture, it is always great to have avenues to get feedback on communications approaches, overall strategy, and operational issues that my mentors have experience with,” Verploegen says. Three years after the initial Solutions grant, one of the VMS mentors assigned to the evaporative cooling team still acts as a mentor to Verploegen today.

Another Solutions grant requirement is for teams to participate in the Spark program — a free, three-week course that provides an entry point for researchers to explore the potential value of their innovation. Spark is part of the National Science Foundation’s (NSF) Innovation Corps (I-Corps), which is an “immersive, entrepreneurial training program that facilitates the transformation of invention to impact.” In 2018, MIT received an award from the NSF, establishing the New England Regional Innovation Corps Node (NE I-Corps) to deliver I-Corps training to participants across New England. Trainings are open to researchers, engineers, scientists, and others who want to engage in a customer discovery process for their technology. Offered regularly throughout the year, the Spark course helps participants identify markets and explore customer needs in order to understand how their technologies can be positioned competitively in their target markets. They learn to assess barriers to adoption, as well as potential regulatory issues or other challenges to commercialization. NE-I-Corps reports that since its start, over 1,200 researchers from MIT have completed the program and have gone on to launch 175 ventures, raising over $3.3 billion in funding from grants and investors, and creating over 1,800 jobs.

Constantinos Katsimpouras, a research scientist in the Department of Chemical Engineering, went through the NE I-Corps Spark program to better understand the customer base for a technology he developed with professors Gregory Stephanopoulos and Anthony Sinskey. The group received a J-WAFS Solutions grant in 2021 for their microbial platform that converts food waste from the dairy industry into valuable products. “As a scientist with no prior experience in entrepreneurship, the program introduced me to important concepts and tools for conducting customer interviews and adopting a new mindset,” notes Katsimpouras. “Most importantly, it encouraged me to get out of the building and engage in interviews with potential customers and stakeholders, providing me with invaluable insights and a deeper understanding of my industry,” he adds. These interviews also helped connect the team with companies willing to provide resources to test and improve their technology — a critical step to the scale-up of any lab invention.

In the case of Professor Cem Tasan’s research group in the Department of Materials Science and Engineering, the I-Corps program led them to the J-WAFS Solutions grant, instead of the other way around. Tasan is currently working with postdoc Onur Guvenc on a J-WAFS Solutions project to manufacture formable sheet metal by consolidating steel scrap without melting, thereby reducing water use compared to traditional steel processing. Before applying for the Solutions grant, Guvenc took part in NE I-Corps. Like Katsimpouras, Guvenc benefited from the interaction with industry. “This program required me to step out of the lab and engage with potential customers, allowing me to learn about their immediate challenges and test my initial assumptions about the market,” Guvenc recalls. “My interviews with industry professionals also made me aware of the connection between water consumption and steelmaking processes, which ultimately led to the J-WAFS 2023 Solutions Grant,” says Guvenc.

After completing the Spark program, participants may be eligible to apply for the Fusion program, which provides microgrants of up to $1,500 to conduct further customer discovery. The Fusion program is self-paced, requiring teams to conduct 12 additional customer interviews and craft a final presentation summarizing their key learnings. Professor Patrick Doyle’s J-WAFS Solutions team completed the Spark and Fusion programs at MIT. Most recently, their team was accepted to join the NSF I-Corps National program with a $50,000 award. The intensive program requires teams to complete an additional 100 customer discovery interviews over seven weeks. Located in the Department of Chemical Engineering, the Doyle lab is working on a sustainable microparticle hydrogel system to rapidly remove micropollutants from water. The team’s focus has expanded to higher value purifications in amino acid and biopharmaceutical manufacturing applications. Devashish Gokhale PhD ’24 worked with Doyle on much of the underlying science.

“Our platform technology could potentially be used for selective separations in very diverse market segments, ranging from individual consumers to large industries and government bodies with varied use-cases,” Gokhale explains. He goes on to say, “The I-Corps Spark program added significant value by providing me with an effective framework to approach this problem … I was assigned a mentor who provided critical feedback, teaching me how to formulate effective questions and identify promising opportunities.” Gokhale says that by the end of Spark, the team was able to identify the best target markets for their products. He also says that the program provided valuable seminars on topics like intellectual property, which was helpful in subsequent discussions the team had with MIT’s Technology Licensing Office.

Another member of Doyle’s team, Arjav Shah, a recent PhD from MIT’s Department of Chemical Engineering and a current MBA candidate at the MIT Sloan School of Management, is spearheading the team’s commercialization plans. Shah attended Fusion last fall and hopes to lead efforts to incorporate a startup company called hydroGel. “I admire the hypothesis-driven approach of the I-Corps program,” says Shah. “It has enabled us to identify our customers’ biggest pain points, which will hopefully lead us to finding a product-market fit.” He adds “based on our learnings from the program, we have been able to pivot to impact-driven, higher-value applications in the food processing and biopharmaceutical industries.” Postdoc Luca Mazzaferro will lead the technical team at hydroGel alongside Shah.

In a different project, Qinmin Zheng, a postdoc in the Department of Civil and Environmental Engineering, is working with Professor Andrew Whittle and Lecturer Fábio Duarte. Zheng plans to take the Fusion course this fall to advance their J-WAFS Solutions project that aims to commercialize a novel sensor to quantify the relative abundance of major algal species and provide early detection of harmful algal blooms. After completing Spark, Zheng says he’s “excited to participate in the Fusion program, and potentially the National I-Corps program, to further explore market opportunities and minimize risks in our future product development.”

Economic and societal benefits

Commercializing technologies developed at MIT is one of the ways J-WAFS helps ensure that MIT research advances will have real-world impacts in water and food systems. Since its inception, the J-WAFS Solutions program has awarded 28 grants (including renewals), which have supported 19 projects that address a wide range of global water and food challenges. The program has distributed over $4 million to 24 professors, 11 research staff, 15 postdocs, and 30 students across MIT. Nearly half of all J-WAFS Solutions projects have resulted in spinout companies or commercialized products, including eight companies to date plus two open-source technologies.

Nona Technologies is an example of a J-WAFS spinout that is helping the world by developing new approaches to produce freshwater for drinking. Desalination — the process of removing salts from seawater — typically requires a large-scale technology called reverse osmosis. But Nona created a desalination device that can work in remote off-grid locations. By separating salt and bacteria from water using electric current through a process called ion concentration polarization (ICP), their technology also reduces overall energy consumption. The novel method was developed by Jongyoon Han, professor of electrical engineering and biological engineering, and research scientist Junghyo Yoon. Along with Bruce Crawford, a Sloan MBA alum, Han and Yoon created Nona Technologies to bring their lightweight, energy-efficient desalination technology to the market.

“My feeling early on was that once you have technology, commercialization will take care of itself,” admits Crawford. The team completed both the Spark and Fusion programs and quickly realized that much more work would be required. “Even in our first 24 interviews, we learned that the two first markets we envisioned would not be viable in the near term, and we also got our first hints at the beachhead we ultimately selected,” says Crawford. Nona Technologies has since won MIT’s $100K Entrepreneurship Competition, received media attention from outlets like Newsweek and Fortune, and hired a team that continues to further the technology for deployment in resource-limited areas where clean drinking water may be scarce.

Food-borne diseases sicken millions of people worldwide each year, but J-WAFS researchers are addressing this issue by integrating molecular engineering, nanotechnology, and artificial intelligence to revolutionize food pathogen testing. Professors Tim Swager and Alexander Klibanov, of the Department of Chemistry, were awarded one of the first J-WAFS Solutions grants for their sensor that targets food safety pathogens. The sensor uses specialized droplets that behave like a dynamic lens, changing in the presence of target bacteria in order to detect dangerous bacterial contamination in food. In 2018, Swager launched Xibus Systems Inc. to bring the sensor to market and advance food safety for greater public health, sustainability, and economic security.

“Our involvement with the J-WAFS Solutions Program has been vital,” says Swager. “It has provided us with a bridge between the academic world and the business world and allowed us to perform more detailed work to create a usable application,” he adds. In 2022, Xibus developed a product called XiSafe, which enables the detection of contaminants like salmonella and listeria faster and with higher sensitivity than other food testing products. The innovation could save food processors billions of dollars worldwide and prevent thousands of food-borne fatalities annually.

J-WAFS Solutions companies have raised nearly $66 million in venture capital and other funding. Just this past June, J-WAFS spinout SiTration announced that it raised an $11.8 million seed round. Jeffrey Grossman, a professor in MIT’s Department of Materials Science and Engineering, was another early J-WAFS Solutions grantee for his work on low-cost energy-efficient filters for desalination. The project enabled the development of nanoporous membranes and resulted in two spinout companies, Via Separations and SiTration. SiTration was co-founded by Brendan Smith PhD ’18, who was a part of the original J-WAFS team. Smith is CEO of the company and has overseen the advancement of the membrane technology, which has gone on to reduce cost and resource consumption in industrial wastewater treatment, advanced manufacturing, and resource extraction of materials such as lithium, cobalt, and nickel from recycled electric vehicle batteries. The company also recently announced that it is working with the mining company Rio Tinto to handle harmful wastewater generated at mines.

But it’s not just J-WAFS spinout companies that are producing real-world results. Products like the ECC Vial — a portable, low-cost method for E. coli detection in water — have been brought to the market and helped thousands of people. The test kit was developed by MIT D-Lab Lecturer Susan Murcott and Professor Jeffrey Ravel of the MIT History Section. The duo received a J-WAFS Solutions grant in 2018 to promote safely managed drinking water and improved public health in Nepal, where it is difficult to identify which wells are contaminated by E. coli. By the end of their grant period, the team had manufactured approximately 3,200 units, of which 2,350 were distributed — enough to help 12,000 people in Nepal. The researchers also trained local Nepalese on best manufacturing practices.

“It’s very important, in my life experience, to follow your dream and to serve others,” says Murcott. Economic success is important to the health of any venture, whether it’s a company or a product, but equally important is the social impact — a philosophy that J-WAFS research strives to uphold. “Do something because it’s worth doing and because it changes people’s lives and saves lives,” Murcott adds.

As J-WAFS prepares to celebrate its 10th anniversary this year, we look forward to continued collaboration with MIT’s many I&E programs to advance knowledge and develop solutions that will have tangible effects on the world’s water and food systems.

Learn more about the J-WAFS Solutions program and about innovation and entrepreneurship at MIT.

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tagbintech · 15 days ago

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AI in Agriculture: How Technology is Transforming Food Production

Introduction

Agriculture is facing unprecedented challenges, from rising demand for food due to population growth to environmental sustainability concerns. As traditional farming methods become less effective in meeting these demands, artificial intelligence (AI) is emerging as a transformative force in agriculture, revolutionizing how we grow, manage, and produce food. AI in Agriculture has introduced smart tools and processes that optimize every aspect of farming, from crop management to resource allocation, helping farmers enhance productivity while conserving resources.

1. The Role of AI in Smart Farming

AI in smart farming has empowered farmers to make data-driven decisions through insights into weather patterns, soil health, crop health, and pest control. By incorporating machine learning algorithms and data analytics, farmers can now predict crop yield more accurately, monitor crops in real time, and apply resources where they are needed the most.

Key Technologies in Smart Farming

Machine Learning and Data Analytics: Machine learning algorithms analyze historical and real-time data to generate predictions for crop yields, soil health, and pest activity.

IoT (Internet of Things) Sensors: IoT devices capture data on temperature, moisture, and nutrient levels, providing farmers with precise insights.

Cloud Computing: Data is stored and analyzed in the cloud, making it accessible to farmers and agricultural managers remotely and enabling collaborative decisions.

2. Precision Agriculture with AI

Precision agriculture is a technique where AI optimizes inputs, such as water, fertilizers, and pesticides, based on the specific needs of individual crops or areas. Through precision agriculture, farmers avoid excessive use of resources, which is both cost-effective and environmentally friendly.

Benefits of AI in Precision Agriculture:

Reduced Resource Waste: AI sensors detect precisely when and where plants need water or nutrients, helping reduce water and fertilizer usage.

Increased Crop Yield: By applying the right resources at the right time, crop yield increases significantly.

Environmental Conservation: With less chemical run-off, there’s a reduced environmental footprint, helping maintain soil and water quality.

Primary Tools in Precision Agriculture:

Drones and Satellites: AI-powered drones and satellite imagery monitor crop health, detect diseases, and identify areas needing attention.

Soil Analysis Tools: AI-enabled tools analyze soil composition and nutrient content to suggest ideal planting and fertilizing times.

3. AI Crop Management for Higher Productivity

AI crop management is another vital application where AI-driven algorithms analyze data from various sources, such as weather forecasts, pest population data, and soil conditions, to create a comprehensive crop management plan. This approach helps farmers prevent crop failure, increase productivity, and ensure food security.

AI Tools for Crop Management:

Disease Detection: AI tools use image recognition to identify plant diseases early, allowing timely intervention.

Yield Prediction Models: By analyzing data from past crop cycles, AI tools predict yield accurately, aiding in demand planning and reducing food waste.

Automated Irrigation Systems: AI algorithms in automated irrigation systems ensure crops receive the exact water they need, reducing water usage and increasing growth rates.

4. Agricultural Robotics and Automation

One of the most groundbreaking developments in AI for agriculture is the use of robotics. Robots powered by AI are transforming traditional labor-intensive tasks, making farming faster, more efficient, and more sustainable. Agricultural robots are now capable of performing repetitive and labor-intensive tasks, such as planting, weeding, and harvesting, with high precision and minimal human intervention.

Types of Agricultural Robots:

Weeding Robots: AI-powered robots remove weeds efficiently, minimizing the need for herbicides.

Harvesting Robots: With image recognition, AI harvesting robots pick fruits and vegetables at peak ripeness, reducing waste.

Planting Drones: Drones equipped with AI can plant seeds across large fields, speeding up the planting process.

5. AI in Predictive Maintenance for Farming Equipment

AI-driven predictive maintenance helps farmers keep their machinery in top shape by analyzing equipment performance data. This approach minimizes downtime, ensuring that essential farming equipment is always ready when needed, which is crucial for time-sensitive operations like planting and harvesting.

Key Benefits of Predictive Maintenance:

Reduced Downtime: AI detects potential issues in machinery before they escalate, allowing for timely repairs.

Cost Savings: Predictive maintenance reduces repair costs by addressing problems early.

Enhanced Productivity: Well-maintained equipment operates more efficiently, maximizing productivity and reducing delays in farming activities.

6. AI for Supply Chain Optimization

The agricultural supply chain can be complex, involving various stages from farm to market. AI in agriculture enhances transparency and efficiency across the entire supply chain, from predicting demand to optimizing logistics.

Applications of AI in Supply Chain:

Demand Forecasting: AI algorithms predict consumer demand, enabling farmers and distributors to plan accordingly.

Logistics Optimization: AI streamlines the transportation process, reducing food spoilage and ensuring that fresh produce reaches markets faster.

Quality Control: AI-powered sorting and grading tools evaluate the quality of produce, ensuring consistency in product quality and minimizing waste.

7. AI and Sustainable Farming Practices

AI is also a powerful tool for promoting sustainable farming. By optimizing resource use and improving crop management, AI in agriculture can help reduce environmental impacts. Sustainable farming practices, driven by AI, ensure that agricultural resources like soil, water, and energy are conserved for future generations.

Ways AI Promotes Sustainability:

Water Conservation: Automated irrigation systems powered by AI reduce water waste.

Soil Health Monitoring: AI tools monitor soil quality, guiding farmers on sustainable soil management practices.

Waste Reduction: Precision agriculture minimizes the use of pesticides and fertilizers, reducing soil and water pollution.

8. The Future of AI in Agriculture

The future of AI in agriculture is bright, with new technologies constantly being developed to further enhance food production. Research and development in fields like genetic engineering, climate-resilient crops, and bioinformatics are opening up even more possibilities for AI to make farming more productive, efficient, and sustainable.

Emerging Trends in AI for Agriculture:

Climate-Smart Agriculture: AI-driven systems adapt farming practices to changing climate conditions.

Gene Editing and AI: AI is used to analyze genetic data for creating resilient crop varieties.

Collaborative AI Platforms: Farmers collaborate and share data through AI-powered platforms, making knowledge more accessible.

Conclusion

The adoption of AI in agriculture is reshaping the industry, enabling farmers to meet growing food demands while practicing sustainable agriculture. From smart farming and precision agriculture to supply chain optimization and predictive maintenance, AI offers a multitude of tools that are changing the way we produce food. As these technologies continue to evolve, AI’s role in agriculture will only grow, promising a more efficient, sustainable, and productive future for food production.

By adopting AI-driven tools, farmers can embrace a future of efficient, precise, and sustainable farming practices. With advancements in AI, the agricultural sector is poised to tackle global food challenges and create a secure food supply chain for generations to come.

#artificial intelligence #tagbin #technology #writers on tumblr #ai in agriculture #agriculture

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