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Iowa Ag News: Crop Progress & Condition, May 27, 2025
Full text linkReport produced by the The Department of Agriculture and Land Stewardship, Climatology Bureau. Weather report released by the USDA National Agricultural Statistical Service. The report is released weekly from April through October. Formally titled: Iowa Crop and Weather Repor
Hiring Iowa Teens: What an Employer Needs to Know, 2025
Full text linkIowa youths are eager to work. Especially during the summer
months. To a teenager, a job means money for school and
other expenses, work experience, and may help in deciding on a career path. As an employer, you should be aware that Iowa Child Labor laws restrict both hours and types of work
Examination on Compliance for the U.S. Department of Treasury Coronavirus State and Local Fiscal Recovery Funds Program (CSLFRF) Requirements for an Alternative CSLFRF Compliance Examination Engagement on the City of Monticello, Iowa, for the year ended June 30, 2024
No full textExamination on Compliance for the U.S. Department of Treasury Coronavirus State and Local Fiscal Recovery Funds Program (CSLFRF) Requirements for an Alternative CSLFRF Compliance Examination Engagement on the City of Monticello, Iowa, for the year ended June 30, 202
Agreed-upon procedures report on the City of Mechanicsville, Iowa for the period July 1, 2023 through June 30, 2024
No full textAgreed-upon procedures report on the City of Mechanicsville, Iowa for the period July 1, 2023 through June 30, 202
Research Solutions: Using Road Images to Estimate Real-Time Road Surface Conditions, TPF-5(435), 2025
No full textRoad weather information systems (RWIS), in both stationary and mobile forms, have become increasingly popular in recent decades for their ability to collect and disseminate road weather and surface data. In addition to meteorological measurements, highway agencies rely heavily on RWIS imagery data to guide winter road maintenance (WRM) operations. However, the analysis of imagery data is still performed manually by trained personnel. Moreover, the limited number of stationary RWIS stations and the infrequent deployment of mobile RWIS units result in significant spatial gaps along the highway network. In our previous project, we developed methodologies based on convolutional neural networks (CNNs) to automatically recognize road surface conditions (RSC) from dash camera imagery and employed regression kriging (RK) to estimate RSC in unmonitored areas using limited point measurements. These methods demonstrated feasibility and robustness in real-world case studies. Building on these efforts, this project aimed to further advance CNN development specifically for stationary RWIS imagery and assess its reliability using explainable artificial intelligence (XAI) techniques, including SHapley Additive exPlanations (SHAP) and class activation map (CAM)-based methods. Additionally, to automatically estimate snow coverage ratios from stationary RWIS imagery, two distinct deep learning-based computer vision techniques, pix-to-pix generative adversarial network and semantic segmentation, were employed. Furthermore, the RK method was revisited to better accommodate a wider range of weather events while considering their variability, and the potential monetary benefits of this approach were also explored. To address the limitations of RK in handling categorical variables, a novel geostatistical method, namely nested indicator kriging (NIK), was developed to interpolate RSC in unmonitored areas directly using CNN classification results. These methods were evaluated using data from two major highways, Interstate 35 and Interstate 80 in Iowa, US, spanning a five-year period and encompassing over 20,000 images. The results demonstrated high accuracy and reliability. Additionally, a web application was developed to integrate these methods, offering real-time monitoring, estimation, and historical data archiving. This project equips decision-makers with a powerful tool to implement WRM activities more swiftly efficiently, and cost-effectively, ultimately promoting a safer, more mobile, and sustainable winter transportation system
Reaudit report on the City of Waterloo for the period July 1, 2017 through December 31, 2024
No full textReaudit report on the City of Waterloo for the period July 1, 2017 through December 31, 202
Iowa Racing and Gaming Commission, 2024 Annual Report, March 2025
No full textProvides an overview of the operations of the Iowa Racing & Gaming Commission for Calendar Year 2024
Report on Henry County, Iowa for the year ended June 30, 2024
No full textReport on Henry County, Iowa for the year ended June 30, 202
Agreed-upon procedures report on the City of Bayard, Iowa for the period July 1, 2023 through June 30, 2024
No full textAgreed-upon procedures report on the City of Bayard, Iowa for the period July 1, 2023 through June 30, 202
Vector-Borne Disease Surveillance Report, July 18, 2025
No full textThe Iowa Department of Public Health Vector-Borne Disease Weekly Surveillance Report summarizes cases of vector-borne disease cases in Iowa such as West Nile virus, Dengue and malaria