Progress 09/01/18 to 08/31/23
Outputs
Target Audience:A scientific workshop to bring together educators from multiple institutions across the nation with the ultimate goal of identifying research, education/training, and extension needs in data science with applications in IoT-enabled agriculture to devise the data-driven agricultural systems of the future. iDASA focuses on the application of secure Cyber-Physical Systems (CPS), IoT-based data analytics, Machine Learning (ML), and cloud/edge computing to unlock the true power of data to model, design, and optimize smart agricultural systems. Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?Students were provided with the opportunity to present their research work at the workshop and get their research published in the Association for Computing Machinery (ACM) proceedings - https://dl.acm.org/doi/proceedings/10.1145/3576914 (see products). How have the results been disseminated to communities of interest?The team created a website to disseminate the information and agenda for the specialized workshop - https://cpsiotweek.wordpress.com/ In addition, emails were sent to partnering institutions to make potential participants aware of the stipends and free registration. What do you plan to do during the next reporting period to accomplish the goals?
Nothing Reported
Impacts
What was accomplished under these goals?
iDASA took place on May 9, 2023 with about 20 presenters/participants in person and online. Five students' papers were published in theCPS-IoT Week 2023 - Association for Computing Machinery (ACM) proceedings. 9:00 - 9:10 a.m. Opening remarks 9:10 - 9:30 a.m. Talk: A life-long learning experience in agricultural sciences and engineering topics focusing on rural economic development - Veera Gnaneswar Gude, Purdue University Northwest 9:35 - 10:00 a.m. Talk: Nutrient Optimization for Climate Smart, Intelligent Food Supply Chain Dynamics Modeling - Richard Donovan, University of California, Irvine 10:30a.m.- 12:00 p.m. Panel: The role of government in supporting smart agriculture research, education and training. Session Chair: Krystel Castillo. Alex Jones (virtual), NSF Program Director, CISE CNS. James Kiniry, Research Agronomist, Grassland Soil and Water Research Laboratory, USDA-ARS, Temple, Texas. Mathew Pelletier (virtual), Researcher, Cotton Production and Processing Research Laboratory, USDA-ARS, Lubbock, Texas 1:30 - 3:00 p.m. Panel: Innovations in Data Analytics for Smart Agriculture. Session Chair: Krystel Castillo. Tanveer Hossain Bhuiyan, The University of Texas at San Antonio; Rene Villalobos, Arizona State University; Sasha Dong, University of Houston 3:30 - 5:00 p.m. Student Presentations. Session Chair: Kolton Keith -A stochastic Cold Food Supply Chain (CFSC) design. David Hernandez-Cuellar, Krystel K. Castillo-Villar -Astro Cultivators: Autonomous Growth System for Space Farming based on Machine Vision and Multi-Sensor Fusion. Anthony Morales-Badajoz, Neville Elieh, Manoj Nizampatnam, April Diederich, Elliot Sadler, Jasmine Glover, Troy Israel, Tomothy Tran, Andrew Wang, Larry Zhang, Annette Besnilian, Andreas George, Julie Miller, Xunfei Jiang, Bingbing Li -A neural network powered solution approach for computationally expensive mixed integer programs for bio jet-fuel supply chain network design. Kolton Keith, Krystel K. Castillo-Villar, Adel Alaeddini -Metaheuristic for Solving a Two-stage Stochastic Biofuel Hub-and-Spoke Network Problem. Mario Aboytes-Ojeda, Krystel K. Castillo-Villar 5:00 - 5:30pm Talk: Phosphate Management in Soils and Ground waters. Saugata Datta, University of Texas at San Antonio 5:30 p.m. Open Discussion, Group Photo and Closing Remarks
Publications
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
Kolton Keith, Krystel K. Castillo-Villar, and Adel Alaeddini. 2023. A neural network powered solution approach for
computationally expensive mixed integer programs for bio jet-fuel supply chain network design. In Cyber-Physical Systems
and Internet of Things Week 2023 (CPS-IoT Week Workshops23), May 0912, 2023, San Antonio, TX, USA.ACM, New
York, NY, USA,5 pages. https://doi.org/10.1145/3576914.3588336
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
David Han and Mia Rodriguez. 2023. Big Data Analytics, Data Science, ML&AI for Connected, Data-driven Precision
Agriculture and Smart Farming Systems: Challenges and Future Directions. In Cyber-Physical Systems and Internet of
Things Week 2023 (CPS-IoT Week Workshops 23), May0912, 2023, San Antonio, TX, USA.ACM, New York, NY, USA,
7 pages.https://doi.org/10.1145/3576914.3588337
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
Anthony Manuel Morales-Badajoz, Neville Elieh, April Diederich, Elliot Sadler, Jasmine Glover, Manoj Nizampatnam, Troy
Israel, Andrew Wang, Larry Zhang, Annette Besnilian, Andreas George, Julie Miller, Xunfei Jiang, and Bingbing Li*. 2023.
Astro Cultivators: Autonomous Growth System for Space Farming based on Machine Vision and Multi-Sensor Fusion. In
Cyber-Physical Systems and Internet of Things Week 2023 (CPS-IoT Week Workshops 23), May 0912, 2023, San
Antonio, TX, USA.ACM, New York, NY, USA, 6 pages. https://doi.org/10.1145/3576914.3588338
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
David Hernandez-Cuellar and Krystel K. Castillo-Villar. 2023. An Stochastic Cold Food Supply Chain (CFSC) Design. In
Cyber-Physical Systems and Internet of Things Week 2023 (CPS-IoT Week Workshops 23), May 0912,2023, San
Antonio, TX, USA.ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3576914.3588339
|
Progress 09/01/22 to 08/31/23
Outputs
Target Audience:A scientific workshop to bring together educators from multiple institutions across the nation with the ultimate goal of identifying research, education/training, and extension needs in data science with applications in IoT-enabled agriculture to devise the data-driven agricultural systems of the future. iDASAfocuses on the application of secure Cyber-Physical Systems (CPS), IoT-based data analytics, Machine Learning (ML), and cloud/edge computing to unlock the true power of data to model, design,and optimize smart agricultural systems. Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?Students were provided with the opportunity to present their research work at the workshop and get their research published in the Association for Computing Machinery (ACM) proceedings -https://dl.acm.org/doi/proceedings/10.1145/3576914 (see products). How have the results been disseminated to communities of interest?The team created a website to disseminate the information and agenda for the specialized workshop -https://cpsiotweek.wordpress.com/ In addition, emails were sent to partnering institutions to make potential participants aware of the stipends and free registration. What do you plan to do during the next reporting period to accomplish the goals?This is the final year of the grant.
Impacts
What was accomplished under these goals?
iDASA took place on May 9, 2023 with about 20 presenters/participants in person and online. Four students' papers were published in theCPS-IoT Week 2023 - Association for Computing Machinery (ACM) proceedings. 9:00 - 9:10 a.m. Opening remarks 9:10 - 9:30 a.m. Talk: A life-long learning experience in agricultural sciences and engineering topics focusing on rural economic development - Veera Gnaneswar Gude, Purdue University Northwest 9:35 - 10:00 a.m. Talk: Nutrient Optimization for Climate Smart, Intelligent Food Supply Chain Dynamics Modeling - Richard Donovan, University of California, Irvine 10:30a.m.- 12:00 p.m. Panel: The role of government in supporting smart agriculture research, education and training. Session Chair: Krystel Castillo. Alex Jones (virtual), NSF Program Director, CISE CNS. James Kiniry, Research Agronomist, Grassland Soil and Water Research Laboratory, USDA-ARS, Temple, Texas. Mathew Pelletier (virtual), Researcher, Cotton Production and Processing Research Laboratory, USDA-ARS, Lubbock, Texas 1:30 - 3:00 p.m. Panel: Innovations in Data Analytics for Smart Agriculture. Session Chair: Krystel Castillo. Tanveer Hossain Bhuiyan, The University of Texas at San Antonio; Rene Villalobos, Arizona State University; Sasha Dong, University of Houston 3:30 - 5:00 p.m. Student Presentations. Session Chair: Kolton Keith -A stochastic Cold Food Supply Chain (CFSC) design. David Hernandez-Cuellar, Krystel K. Castillo-Villar -Astro Cultivators: Autonomous Growth System for Space Farming based on Machine Vision and Multi-Sensor Fusion. Anthony Morales-Badajoz, Neville Elieh, Manoj Nizampatnam, April Diederich, Elliot Sadler, Jasmine Glover, Troy Israel, Tomothy Tran, Andrew Wang, Larry Zhang, Annette Besnilian, Andreas George, Julie Miller, Xunfei Jiang, Bingbing Li -A neural network powered solution approach for computationally expensive mixed integer programs for bio jet-fuel supply chain network design. Kolton Keith, Krystel K. Castillo-Villar, Adel Alaeddini -Metaheuristic for Solving a Two-stage Stochastic Biofuel Hub-and-Spoke Network Problem. Mario Aboytes-Ojeda, Krystel K. Castillo-Villar 5:00 - 5:30pm Talk: Phosphate Management in Soils and Ground waters. Saugata Datta, University of Texas at San Antonio 5:30 p.m. Open Discussion, Group Photo and Closing Remarks
Publications
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
Kolton Keith, Krystel K. Castillo-Villar, and Adel Alaeddini. 2023. A neural network powered solution approach for computationally expensive mixed integer programs for bio jet-fuel supply chain network design. In Cyber-Physical Systems and Internet of Things Week 2023 (CPS-IoT Week Workshops23), May 0912, 2023, San Antonio, TX, USA.ACM, New York, NY, USA,5 pages. https://doi.org/10.1145/3576914.3588336
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
David Han and Mia Rodriguez. 2023. Big Data Analytics, Data Science, ML&AI for Connected, Data-driven Precision Agriculture and Smart Farming Systems: Challenges and Future Directions. In Cyber-Physical Systems and Internet of Things Week 2023 (CPS-IoT Week Workshops 23), May0912, 2023, San Antonio, TX, USA.ACM, New York, NY, USA, 7 pages.https://doi.org/10.1145/3576914.3588337
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
Anthony Manuel Morales-Badajoz, Neville Elieh, April Diederich, Elliot Sadler, Jasmine Glover, Manoj Nizampatnam, Troy Israel, Andrew Wang, Larry Zhang, Annette Besnilian, Andreas George, Julie Miller, Xunfei Jiang, and Bingbing Li*. 2023. Astro Cultivators: Autonomous Growth System for Space Farming based on Machine Vision and Multi-Sensor Fusion. In Cyber-Physical Systems and Internet of Things Week 2023 (CPS-IoT Week Workshops 23), May 0912, 2023, San Antonio, TX, USA.ACM, New York, NY, USA, 6 pages. https://doi.org/10.1145/3576914.3588338
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
David Hernandez-Cuellar and Krystel K. Castillo-Villar. 2023. An Stochastic Cold Food Supply Chain (CFSC) Design. In Cyber-Physical Systems and Internet of Things Week 2023 (CPS-IoT Week Workshops 23), May 0912,2023, San Antonio, TX, USA.ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3576914.3588339
|
Progress 09/01/21 to 08/31/22
Outputs
Target Audience:UTSA organizes a virtual scientific meeting entitled: Innovations in Data Analytics for Smart Agriculture (iDASA) to bring together educators from multiple institutions across the nation with the ultimate goal of identifying research, education, training, and extension needs in data science with applications in agriculture to devise the data-driven agricultural systems of the future and train a highly-qualified diverse workforce. iDASA focuses on the application of data analytics, statistical analysis, machine learning and cloud computing to unlock the true power of data to model, design and optimize sustainable agricultural systems. Changes/Problems:The team requested a no-cost extension to execute the conference in 2023. What opportunities for training and professional development has the project provided?Students will be provided with the opportunity to present their research work at the workshop and get their research published in the Association for Computing Machinery (ACM) proceedings. How have the results been disseminated to communities of interest?The team has created a website to disseminate the information and agenda for the specialized workshop -https://cpsiotweek.wordpress.com/ In addition, emailswill be sent to partnering institutions to make potential participants aware of the stipends and free registration. What do you plan to do during the next reporting period to accomplish the goals?We plan to conduct the iDASA conference in May 2023. The agenda follows: -Opening remarks -Talk: A life-long learning experience in agricultural sciences and engineering topics focusing on rural economic development Veera Gnaneswar Gude, Purdue University Northwest -Talk: Nutrient Optimization for Climate Smart, Intelligent Food Supply Chain Dynamics Modeling Richard Donovan, University of California, Irvine -Panel: The role of government in supporting smart agriculture research, education and training Session Chair: Krystel Castillo Alex Jones (virtual), NSF Program Director, CISE CNS James Kiniry, Research Agronomist, Grassland Soil and Water Research Laboratory, USDA-ARS, Temple, Texas Mathew Pelletier (virtual), Researcher, Cotton Production and Processing Research Laboratory, USDA-ARS, Lubbock, Texas -Panel: Innovations in Data Analytics for Smart Agriculture Session Chair: Krystel Castillo Tanveer Hossain Bhuiyan, The University of Texas at San Antonio Rene Villalobos, Arizona State University Sasha Dong, University of Houston -Session: Student Presentations Session Chair: Kolton Keith A stochastic Cold Food Supply Chain (CFSC) design. David Hernandez-Cuellar, Krystel K. Castillo-Villar Astro Cultivators: Autonomous Growth System for Space Farming based on Machine Vision and Multi-Sensor Fusion. Anthony Morales-Badajoz, Neville Elieh, Manoj Nizampatnam, April Diederich, Elliot Sadler, Jasmine Glover, Troy Israel, Tomothy Tran, Andrew Wang, Larry Zhang, Annette Besnilian, Andreas George, Julie Miller, Xunfei Jiang, Bingbing Li A neural network powered solution approach for computationally expensive mixed integer programs for bio jet-fuel supply chain network design. Kolton Keith, Krystel K. Castillo-Villar, Adel Alaeddini Metaheuristic for Solving a Two-stage Stochastic Biofuel Hub-and-Spoke Network Problem. Mario Aboytes-Ojeda, Krystel K. Castillo-Villar -Talk: Phosphate Management in Soils and Ground waters Saugata Datta, University of Texas at San Antonio -Open Discussion, Group Photo and Closing Remarks
Impacts
What was accomplished under these goals?
The team submitted a proposal for an Innovations in Data Analytics for Smart Agriculture (iDASA) workshop cohosted by the CPS-IoT Week 2023. CPS-IoT Week is the premier event on Cyber-Physical Systems and the Internet-of-Things. It brings together five top conferences,HSCC,ICCPS,IoTDI,IPSN, andRTAS, multiple workshops, tutorials, and competitions. This partnership enhances the visibility of the iDASA workshop and exposes the attendees to a wide range of topics on a 4-day event. CPS-IoT Week 2023 will be held on the Main Campus of The University of Texas at San Antonio (UTSA).
Publications
|
Progress 09/01/20 to 08/31/21
Outputs
Target Audience:UTSA rganizes a virtual scientific meeting entitled: Innovations in Data Analytics for Smart Agriculture (iDASA) to bring together educators from multiple institutions across the nation with the ultimate goal of identifying research, education, training, and extension needs in data science with applications in agriculture to devise the data-driven agricultural systems of the future and train a highly-qualified diverse workforce. iDASAfocuses on the application of data analytics, statistical analysis, machine learning and cloud computing to unlock the true power of data to model, design and optimize sustainable agricultural systems. We expect to reach out up to 200 students and educators. Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?
Nothing Reported
How have the results been disseminated to communities of interest? Through HSI national leaders and HSI Education Grants program managers. We shared information with leaders for them to send e-mails to their distribution lists. Through advisory committee. The advisory committee membersadvertised this conference within their colleagues, students, and collaboration networks. Through flyers and website. A conference flyer is being distributed through Associate Deans for Research, Department Chairs, and professional societies such as American Society for Engineering Education and student chapters. What do you plan to do during the next reporting period to accomplish the goals?The agenda consists of leadership talks to shape the future of a data-driven, smart and connected agriculture, technical panels to identify priority areas in research, a student professional development series and best practices in workforce development, and a student research poster competition. The three main panels follow. Panel on Big Data Analytics and Cloud Computing Enabling Data-driven Agriculture: A discussion among experts whose research aligns with the implementation of data analytics and cloud computing to create smart agricultural systems will be sought. This panel aims to emphasize the key areas of agriculture where these scientific practices are currently used, and which areas are still lacking involvement. This panel will discuss the future research agenda and share with a broader community the idea of multidisciplinary collaboration to generate knowledge and devise the next-generation agricultural solutions. Panel on Computational Modeling and Optimization Methods Enabling Robust Agricultural Systems: This panel will allow researchers, educators, and industry members to discuss obstacles faced by the agricultural industry in regards to achieving data-driven, sustainable agricultural processes. Panelists may address questions such as: What are the difficulties of attempting to implement computational models to agricultural systems? How can you implement computational prediction models with the drastic changes in weather seen in the last years? What are the urgent changes needed in curricula to develop data literate students? This panel will discuss a wide range of areas including the effects of big data in the design and optimization of food production in response to the needs of end users, the higher demand for quality food, and the need to create advanced optimization tools to design agricultural systems while reducing costs/waste/emissions and increasing sustainability. Panel on Machine Learning and Robotics Enabling Smart Agriculture: The panelists will share their current research and industry knowledge along with their experiences when designing technology for the agricultural sector and how communities received new technology. The panel will emphasize the specific needs of the United States' agricultural sector and agree upon the main research questions to move forward these efforts. The panel will answer questions such as: is the implementation of robotics always necessary in processes regarding agriculture? What are the positive/negative impacts of robotics/machine learning in the agricultural industry? How should we involve farmers in robotics applications? Education and Workforce Development: The second day of the conference will be focused on student education, development and networking. Firstly, USDA representatives will be invited to outline the path to become involved in higher education and graduate school programs related to USDA, experiential learning, and internship opportunities. Secondly, we aim to encourage a diverse group of students to pursue careers in agriculture and become involved in scientific implementation towards improving the agricultural industry in the United States.
Impacts
What was accomplished under these goals?
UTSArespectfully requested a no-cost extensionto organize the iDASA conference in 2022since this in-person conference was postponed due to COVID-19 outbreak and the travel restrictions adopted by universities.
Publications
|
Progress 09/01/19 to 08/31/20
Outputs
Target Audience:UTSA proposes to organize a scientific meeting entitled: Innovations in Data Analytics for Smart Agriculture (iDASA) to bring together educators from multiple institutions across the nation with the ultimate goal of identifying research, education, training, and extension needs in data science with applications in agriculture to devise the data-driven agricultural systems of the future and train a highly-qualified diverse workforce. iDASA will focus on the application of data analytics, statistical analysis, machine learning and cloud computing to unlock the true power of data to model, design and optimize sustainable agricultural systems. We expect to reach out up to 200 students and educators. Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?
Nothing Reported
How have the results been disseminated to communities of interest? Through HSI national leaders and HSI Education Grants program managers. We shared information with leaders for them to send e-mails to their distribution lists. Through advisory committee. The advisory committee members advertised this conference within their colleagues, students, and collaboration networks. Through flyers and website. A conference flyer is being distributed through Associate Deans for Research, Department Chairs, and professional societies such as American Society for Engineering Education and student chapters. What do you plan to do during the next reporting period to accomplish the goals?iDASA will include virtual panel discussions with federal agencies (i.e., representatives from U.S. department of Agriculture and National Institute of Food and Agriculture, Department of Energy and National Science Foundation), research laboratories (e.g., USDA ARS and DoE laboratories) and academia to encourage the exchange of information among academicians, researchers, and practitioners.
Impacts
What was accomplished under these goals?
On April 2020, UTSA submitted a no-cost extension and USDA approved it. This extension was respectfully requested to organize the iDASA conference in the Spring/Summer 2021 since this conference was scheduled for May 2020 and had to be canceled due to COVID-19 outbreak and the travel restrictions adopted by universities.
Publications
|
Progress 09/01/18 to 08/31/19
Outputs
Target Audience:The conference will take place in Spring 2020. Meetings have been held to refine the plan for reaching out up to 200 participants (i.e., 120 faculty members and 80 students). Changes/Problems:Due to a delay in the release of the funds the conference will take place in Spring 2020. Noteworthy, the execution of iDASA as well as the budget was planned for Year 2. What opportunities for training and professional development has the project provided?
Nothing Reported
How have the results been disseminated to communities of interest?
Nothing Reported
What do you plan to do during the next reporting period to accomplish the goals?The plan as outlined in the proposal will be executed in the Fall 2019 and Spring 2020.
Impacts
What was accomplished under these goals?
A summary report with the accomplishments will be submitted on August 31, 2020.
Publications
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