Progress 01/15/24 to 01/14/25
Outputs
Target Audience:Graduate students trained on Data Science methods and tools for agricultural data processing. Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?The students went through the course work as required for completing their degree program, participated in professional conferences to deliver oral and poster presentations, mentored undergraduate students, and were involved in writing thesis and journal manuscripts. How have the results been disseminated to communities of interest?Andrea Slotke- Completed four presentations at conferences, including the Fall 2023 annual meeting of the American Geophysical Union. She also presented to several smaller on-campus groups, including the including the Great Lakes Science Initiative seminar series. Her thesis results have also been shared with staff and students who helped collect the data for the Lilly Center for Lakes and Streams. We are still working to turn the thesis into a manuscript for publication in a scientific journal. Documentation and code used for her thesis analysis have been shared with the team still working on the project through Purdue's GitHub server. Joe Pappas- 2 manuscripts accepted and 2 are under preparation to be submitted in Jan/Feb 2025. Archer: Hybrid Adaptive Cold-Start Prevention for Serverless- submit to ASPLOS in March. Mobility Algorithms for Drone-based Autonomous Surveillance- submit to IoT-J in Feb. Vega: Drone-based Multi-Altitude Target Detection for Autonomous Surveillance- DCOSS (Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2023;https://schaterji.io/publications/2023/vega/ Adaptive object detection algorithms for resource constrained autonomous robotic systems- SPIE: Disruptive Technologies in Information Sciences;https://nanophotonics.spiedigitallibrary.org/conference-proceedings-of-spie/13058/130580C/Adaptive-object-detection-algorithms-for-resource-constrained-autonomous-robotic-systems/10.1117/12.3013781.full;https://schaterji.io/publications/2024/adaptive-virtuoso/ Josh Bailey- Through the various papers, presentations, and posters at conferences described, the student has explained his work and the possibilities of the technology to stakeholders such as farmers, other researchers, students, and professionals. Internal discussions have been held with Open Ag Technology and Systems (OATS) Center members. Isaac Bradford- has participated in four presentations at scientific conferences, including presenting a poster at the Fall 2024 annual meeting of the American Geophysical Union. He also helped supervise an undergraduate research's project that was presented at the 2024 Summer Undergraduate Research Symposium. Isaac oversaw the collection and lab analysis of the samples, and helped the student develop suitable analysis to highlight findings from summer fieldwork. Noah James Berning- Through discussions and presentations at two conferences this fall, the student began to develop connections around the autonomy and automation sector of the agriculture industry, while also presenting his research and findings thus far. In these conversations the student explained his work and what technology has to offer to farmers, other researchers, students, and industry representatives. What do you plan to do during the next reporting period to accomplish the goals?Continue mentoring current NNF awardees towards graduation, provide opportunities for mentoring undergraduate students, networking opportunities, and encourage sharing their research outcomes with the shareholders.
Impacts
What was accomplished under these goals?
Andrea Slotke- graduated with an MS in July 2024. Her thesis was titled "Monitoring Harmful Algal Blooms in Kosciusko County, Indiana With Remote Sensing Insights." Her thesis work involved the collection of field observations from lakes and reservoirs in northern Indiana. She also worked with a dataset collected by the Lilly Center for Lakes and Streams and undergraduate students at Grace College in Kosciusko County, Indiana. Andrea applied statistics designed for datasets where measurements below the detection limit are an important part fo the signal, and used remote sensing imagery to find locations of algal bloom in multiple small lakes. Focus of her work was to establish whether the occurrence of algal blooms and the presence of microsystin toxins (e.g., harmful algal blooms; HABs) could be identified with remote sensing imagery and supplemental environmental data. Joe Pappas- Graduate in May 2025. Worked on systems utilizing machine learning by implementing and deploying a genetic algorithm to search for optimal cloud database configurations given workload traces, especially fast databases such as Redis and AeroSpike. Paper under preparation for ASPLOS 2025 for serverless computing by analyzing genetic algorithm results and running experiments on Raspberry pi edge devices. Josh Bailey- Completed the following courses: ASM 420 Electric Power & Controls, STAT 511 Statistical Methods, ABE 696 Graduate Seminar, ASM 540 Geographic Information System (GIS) Applications, and ABE 530 Plant Phenotyping Technologies. Presented a poster on the Solar-Powered Remote IoT4Ag Network Gateway SPRING project at the IoT4Ag Annual Retreat at UC Merced, and later presented the poster at the Tricenter Research Symposium virtually involving students from IoT4Ag, the Center for Advancing Sustainable and Distributed Fertilizer Production (CASFER), and the Nanosystems Engineering Research Center for Nanotechnology Enabled Water Treatment (NEWT). Published a conference paper and presented an oral presentation at the International Conference on Precision Agriculture (ICPA) in Manhattan, Kansas titled Enabling Field-Level Connectivity in Rural Digital Agriculture with Cloud-Based LoRaWAN and engaged with fellow students. Presented a poster titled Leveraging Generative AI for Data Analysis in Farm Management at ASABE in Anaheim, California and engaged with fellow students. Led a session at the Purdue College of Agriculture AI Workshop and engaged with attendees on the use of generative AI chatbots for data analysis with demos using ChatGPT and Julius AI. Currently finishing coursework and completing work on journal papers and writing thesis. Isaac Bradford- joined Purdue in May of 2024 as a Master's student. He spent the summer collecting field data from lakes and reservoirs in northern Indiana. He is now working on statistical analysis of water and in situ sensor data for three large reservoirs (Mississinewa, Salamonie, and Shafer). Isaac has also started extracting multispectral reflectance data from PlanetScope imagery that coincides with field sampling days. He will continue to build on the work of Andrea Slotke to build HAB predictive models for regional inland water bodies. Noah James Berning- started MS program in the Fall 2024. During this semester, courses were taken in agricultural safety and in agricultural informatics. The first course investigated how to properly manage farms in a safe manner, and how to properly implement and develop farm emergency plans. Inspiration from this course led to the submission of a presentation to an international conference regarding farm emergency planning development using artificial intelligence. Additionally, that presentation is in the process of being submitted as a paper as well. The second course completed in this semester was an introduction in the use of Python in developing farm management software. Through this course the backbone of a website was mapped out to publish final research from the project. Adding to this, literature review and paper development was done for a paper regarding safety with autonomous machinery in agriculture.
Publications
- Type:
Conference Papers and Presentations
Status:
Other
Year Published:
2024
Citation:
Bailey, J., Y. Zhang, A. Balmos, F.A. Castiblanco Rubio, J. Zhang, D. Buckmaster, J. Krogmeier, M. Allen, D. Love. 2024. Enabling field-level connectivity in rural digital agriculture with cloud-based LoRaWAN. in: Proc. 16th International Conference on Precision Agriculture. https://www.ispag.org/proceedings/?action=download&item=10784.
- Type:
Conference Papers and Presentations
Status:
Other
Year Published:
2024
Citation:
Bradford, I., N. Yewle, N., N. H. Van Pham, S. Tan, C. Troy, M. Crawford, Z. Zhou, and K. A. Cherkauer (2024). Enhancing remote sensing techniques for monitoring and mitigating harmful algae blooms in North-Central United States inland waters. Poster presented at 3rd Annual Fall Research Expo hosted by the Institute for a Sustainable Future, Purdue Memorial Union South Ballroom, October 14, 2024, Purdue University. West Lafayette. IN, United States.
- Type:
Conference Papers and Presentations
Status:
Other
Year Published:
2024
Citation:
Bradford, I., N. Yewle, N. H. Van Pham, S. Tan, C. Troy, M. Crawford, Z. Zhou, and K. A. Cherkauer (2024). Assessing harmful algal blooms in Mississinewa Lake: Integrating water quality parameters, remote sensing, and predictive modeling. Poster presented at AGUs Annual Meeting, Washington, D.C., United States. Washington, D.C. 9 - 13 December 2024.
- Type:
Conference Papers and Presentations
Status:
Other
Year Published:
2024
Citation:
Medema, R. E., and A. C. M. Britto (2024). Chlorophyl Analysis and its Role in Modeling Harmful Algae Blooms. Mentors: K. A. Cherkauer, N. R. Yewle, and I. H. Bradford. Summer Undergraduate Research Symposium, July 24, Purdue University, West Lafayette, IN.
- Type:
Conference Papers and Presentations
Status:
Other
Year Published:
2024
Citation:
Yewle, N., I. Bradford, A. Slotke, N. H. Van Pham, S. Tan, C. Troy, M. Crawford, Z. Zhou, and K. A. Cherkauer (2024). Enhancing remote sensing techniques for monitoring and mitigating harmful algae blooms in North-Central United States inland waters. Invited talk presented at the 2024 AWRA, UCOWR, NIWR Joint Water Resources Conference, September 29 October 2nd, 2024, St. Louis, MO, United States.
- Type:
Conference Papers and Presentations
Status:
Other
Year Published:
2024
Citation:
Yewle, N., I. Bradford, N. H. Van Pham, S. Tan, C. Troy, M. Crawford, Z. Zhou, and K. A. Cherkauer (2024). Enhancing remote sensing techniques for monitoring and mitigating harmful algae blooms in north-central United States inland waters. Poster presented at the 43rd Annual Indiana Water Resources Association Symposium, November 7, 2024, Plainfield, IN, United States.
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Progress 01/15/23 to 01/14/24
Outputs
Target Audience:Graduate students trained on Data Science methods and tools for agricultural data processing. Changes/Problems:Adam Schreck- no Andrea Slotke- no Joe Pappas- no Josh Bailey- no What opportunities for training and professional development has the project provided?Adam Schreck- Graduated and started working in the industry. Andrea Slotke- Attendance and presentations at conferences: i. Harmful Algal Bloom Symposium, online through University of Illinois (co-author), ii. Indiana Water Resources Association, Purdue University (oral presentation), iii.Institute for a Sustainable Future Expo (poster presentation), iv.Purdue Great Lakes Science Initiative Seminar Series, Purdue University (oral presentation), v. American Geophysical Union (AGU) Fall Meeting, San Francisco, CA (poster presentation) Joe Pappas- Working with ICAN's research scientist and other students in the lab. Presentations in weekly meetings and 1-2x presentations in lab group meetings per semester; Papers published/in progress are given below: https://spie.org/defense-commercial-sensing/presentation/Adaptive-object-detection-algorithms-for-resource-constrained-autonomous-robotic-systems/13058-10 https://schaterji.io/publications/2023/vega/ He is currently working on a serverless cloud computing paper. Josh Bailey- Completed ABE 694 Graduate Research Training, which included the attendance of poster networking sessions and professional development seminars. Participated in Engineering Development & Graduate Excellence (EDGE) Program events. How have the results been disseminated to communities of interest?Adam Schreck- Graduated. Andrea Slotke- Presentation at research symposiums (listed in (b) above) Shared analysis results with project partners Joe Pappas- Through publication of manuscripts as indicated in (b) above. Josh Bailey- Presented ideas as part of Ag Informatics class project. Held discussions with Open Ag Technology and Systems (OATS) Center members. What do you plan to do during the next reporting period to accomplish the goals?Complete hiring of remaining NNF awardees, continue mentoring current NNF awardees towards graduation, provide opportunities for mentoring undergraduate students, networking opportunities, and encourage sharing their research outcomes with the shareholders.
Impacts
What was accomplished under these goals?
Adam Schreck- The student completed MS(ABE) in May 2023 and now working as a Senior Associate Engineer at Caterpillar Inc. Andrea Slotke- Coursework i. Spring 2023: 10 credits, including two courses in the DSABE curriculum, ABE graduate student seminar, and one elective ii. Fall 2023: 6 credits, including one course of the DSABE curriculum, and one additional statistics course Additional statistical training i. One-on-one sessions with Graduate statistical consultants arranged through Purdue's Statistical Design Consulting Services program Collaboration with the faculty and staff of the Lilly Center for Lakes and Streams to obtain data on harmful algal blooms i. Reviewed data collection methodologies ii.Evaluated data quality iii.Coordinated on types and analysis to conduct on the dataset iv.Participated in sample collection and lab analysis in Summer 2023 Joe Pappas- Coursework completed by Joe Pappas is given below: Fall '22 - ECE 570 - Artificial Intelligence - ABE 676 - Commercialization of Research (Entrepreneurship) Spring '23 - ABE 591 Machine Learning and Vision for IoT - CS 578 Statistical Machine Learning Fall '23 - AGRY 545 Remote Sensing - ASM 591 Digital Agriculture Spring '24 - BME 646 Deep Learning - ECE 568 Embedded Systems He will graduate with MS in the Aug 2024 timeframe. Josh Bailey- Started MS (ABE) in the fall of 2023. Completion of ASM 591 Intro to Ag Informatics and AGEC 552 Intro Math Programming. Began project work on cloud-based LoRaWAN and building resilient IoT networks.
Publications
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Progress 01/15/22 to 01/14/23
Outputs
Target Audience:Students interested to pursue master's degree in Data Science concentration with Agricultural and Biological Engineering deprtment. Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?NNF#1- He has attended several research seminars held at Purdue in digital agriculture and numerous research conferences, networking events, and career fairs. NNF#2- Has participated in several courses as a student and an auditor to increase her skill base. Has completed training on multiple pieces of lab equipment and in-lab techniques that will be important to completing the analysis of water samples. Completed the U.S. Coast Guard's boat certification process so that she has been properly trained to oversee the safety and operation of the boat being used for sampling. Has participated in the ABE graduate student symposium and helped with the organization as a student leader. NNF#3- Working with ICAN's research scientist and other students in the lab. Presentations in weekly meetings and 1-2x presentations in lab group meetings per semester; 3-min thesis competition in ABE in Spring 2023. How have the results been disseminated to communities of interest?NNF#1- Through presentations at conferences, local field day events, and other engagements, the student has explained his work and the possibilities of the technology to stakeholders such as farmers, other researchers, students, and professionals. Documentation and the build process of these systems have been cataloged on GitHub. NNF#2- No results have been finished yet, but she is expected to present at least once in the coming year. NNF#3- One manuscript is under submission and another is under preparation to be submitted in May 2023. What do you plan to do during the next reporting period to accomplish the goals?Continue mentoring current NNF awardees towards graduation, provide opportunities for mentoring undergraduate students, networking opportunities, and encourage sharing their research outcomes with the shareholders.
Impacts
What was accomplished under these goals?
NNF#1- Started graduate program in fall 2021 semester. During the year under report, the student completed most of his coursework. He developed a deeper understanding and technical knowledge of what would become his thesis research by participating in concurrent research projects. As an active participant, he collaborated with other students in designing, constructing, and deploying an open-source IoT network for local farmers. After this work, he created a simplified version of the original architecture using different open-source software and hardware elements. NNF#2- Started graduate program in fall 2022 semester. Took courses in statistics, remote sensing, and Python programming. She is now using those skills to download the imagery of reservoirs in Indiana that have experienced harmful algal blooms (HABs). This information is being used to plan a field sampling campaign to collect water and spectral data from reservoirs before, during and after they experience blooms. She has also learned laboratory skills to assess water samples for macronutrients and is helping to develop procedures to identify harmful algal species. NNF#3- Started graduate program in fall 2022 semester. Took graduate coures. Working on a drone trajectory optimization paper with a goal to develop efficient trajectories for scouting and surveillance.
Publications
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