Abstract: Food banks work to address the problem of food insecurity for low-income and underrepresented populations. The food bank acquires food and distributes it to their partner agencies, who, in ton, distribute the food to
Read moreCategory: Data Analytics and Information Sciences
Evidence Based Green City Evaluation and Prediction in The New Normal
Abstract: A green city (GC) implies as an environmental-friendly. How to enhance every city to a green city is a crucial to achieve the new normal after the pandemic. The challenges are with soundness of
Read moreThe Effect of Different Optimization Strategies to Physics-Constrained Deep Learning for Soil Moisture Estimation
Abstract: Soil moisture is a key hydrological parameter that has significant importance to human society and environment. Accurate modeling and monitoring of soil moisture in crop fields, especially in the root zone (top 100 cm
Read moreAn Interpretable Deep Learning Model for Wood Chip Moisture Content Prediction
Abstract: Wood chips are one of the most prominent biofuel energy sources and an essential raw material for the pulp and paper industries. The quality of the biofuel or pulp is highly dependent on the
Read moreHow data science can provide nourishment and food security
Hunger is a reality for more than 50 million Americans, with food insecurity affecting 13% of U.S. households. To alleviate this, many receive assistance from nonprofit food banks, pantries and meal programs nationwide. Purdue University
Read moreImproving food systems in Iowa through industrial engineering
Anuj Mittal, Ph.D. candidate in industrial engineering (IE) at Iowa State University, has been part of a U.S. Department of Agriculture (USDA) study which will allow food hubs in Iowa to share supply chain best
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