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Optimization And Analytics Of Decarbonized Forest And Biomass Supply Chains, Xufeng Zhang
Optimization And Analytics Of Decarbonized Forest And Biomass Supply Chains, Xufeng Zhang
Graduate Theses, Dissertations, and Problem Reports
First, a data-driven holistic analysis framework was developed to aid the industrial development of forest biomass for bioenergy to promote the regional bioeconomy. Leveraging the existing but fragmented multi-source data, four components of industrial bioenergy development were integrated into the framework including spatial statistical analysis of biomass feedstock and bioenergy production, machine learning-based suitability assessment, bioenergy plant sites identification and ranking, and socio-economic impacts assessment. A case study was conducted for forest biomass to pellet fuel in the U.S. Mid-Atlantic region. Our results indicate that the great potential of forest biomass with high variation at the county level is primarily …
Quantifying Crop Phenology For Food Sustainability Under Climate Change: Integration Of Remote Sensing, Machine Learning, And Ecosystem Modeling, Yanjun Yang
Theses and Dissertations--Plant and Soil Sciences
Climate change is projected to continue and accelerate significantly in the future if global greenhouse gas emissions are not curbed. Previous studies have shown that crop growth and production in agroecosystems are primarily determined by the weather conditions over the growing season. Crop phenology represents one of the most critical indicators in determining crop yield and adjusting the adaptation of crops to climate change. It provides essential information for monitoring and modeling crop growth dynamics and productivity. Therefore, understanding and quantifying the impacts of climate change on crop phenology and then agricultural production is crucial to formulate feasible climatic adaptation …
Hopeless Ugly Food? Estimating Heterogeneous Treatment Effects Of Marketing Strategies On Consumer Attitude And Wtp Via Machine Learning Approaches, Ran Li
LSU Master's Theses
Around one-third of food produced for human consumption is wasted every year, partially caused by consumer's unwillingness to purchase ugly food. We explore opportunities to favorably support consumer's considerations for ugly food by analyzing survey responses from 1099 U.S. adults. We find that without any marketing strategies applied, a great discount has to be provided to sell ugly food. By using appropriate marketing strategies, consumer's attitudes and willingness to pay for ugly food can be changed positively. However, the effects of ugly food marketing attributes are heterogeneous among consumers with different attitudes towards ugly food. Consumers with negative attitudes towards …
Three Essays On The Application Of Machine Learning Methods In Economics, Abdelaziz Lawani
Three Essays On The Application Of Machine Learning Methods In Economics, Abdelaziz Lawani
Theses and Dissertations--Agricultural Economics
Over the last decades, economics as a field has experienced a profound transformation from theoretical work toward an emphasis on empirical research (Hamermesh, 2013). One common constraint of empirical studies is the access to data, the quality of the data and the time span it covers. In general, applied studies rely on surveys, administrative or private sector data. These data are limited and rarely have universal or near universal population coverage. The growth of the internet has made available a vast amount of digital information. These big digital data are generated through social networks, sensors, and online platforms. These data …