- Biofuel production and bioconversion
- Forest Biomass Utilization and Management
- Bioenergy crop production and management
- Smart Agriculture and AI
- Spectroscopy and Chemometric Analyses
- Thermochemical Biomass Conversion Processes
- Remote Sensing in Agriculture
- Career Development and Diversity
- Big Data and Business Intelligence
- Plant Virus Research Studies
- Plant tissue culture and regeneration
- Organic Food and Agriculture
- Extraction and Separation Processes
- Innovative Approaches in Technology and Social Development
- Artificial Intelligence in Healthcare
- Health and Medical Research Impacts
- Mentoring and Academic Development
- Soil and Water Nutrient Dynamics
- Advanced Chemical Sensor Technologies
- Greenhouse Technology and Climate Control
- Hydrology and Watershed Management Studies
- Remote Sensing and Land Use
- Microbial Metabolic Engineering and Bioproduction
- Wastewater Treatment and Nitrogen Removal
- Plant Physiology and Cultivation Studies
Idaho National Laboratory
2021-2024
Analysis Group (United States)
2024
North Carolina State University
2021-2024
Duke University
2018
The quality evaluation of sweetpotatoes is utmost importance during postharvest handling as it significantly impacts consumer satisfaction, nutritional value, and market competitiveness. This study presents an innovative approach that integrates explainable artificial intelligence (AI) with hyperspectral imaging to enhance the assessment three important attributes in sweetpotatoes, i.e., dry matter content, soluble solid firmness. Sweetpotato samples different varieties, including "Bayou...
Liquid fossil fuels (1) enable transportation and (2) provide energy for mobile work platforms (3) supply dispatchable to highly variable demand (seasonal heating peak electricity). We describe a system replace liquid with drop-in biofuels including gasoline, diesel jet fuel. Because growing biomass removes carbon dioxide from the air, there is no net addition of atmosphere burning biofuels. In addition, proper management, biofuel systems can sequester large quantities as soil organic...
Plant-parasitic nematodes cause significant yield losses and economic damage to crops worldwide. Traditional management strategies are costly environmentally unsustainable. This study introduces Decision Intelligence (DI) enhance nematode in sweetpotato cultivation. DI integrates decision analysis, artificial intelligence, machine learning support decision-making complex environments. Through expert elicitations with researchers extension agents, Causal Diagrams (CDDs) Models (CDMs) were...
Consumer preference in produce, defined by shape and size, heavily influences this market. Understanding the environmental management factors that impact these features can improve a farmer's economic margins. Since sweetpotatoes are hand-harvested tend to have varying shapes sizes, result unpredictable profit Methods for predicting aesthetic characteristics of using agronomic with machine learning not been developed. Moreover, crop size agricultural data analysis is challenging due need...
Stakeholder and community engagement are critical for the successful development of new technologies that aim to be integrated into sustainable agriculture systems. This study reports on an approach used engage stakeholders within sweetpotato in North Carolina understand their preferences, needs, concerns as they relate a sensing diagnostic platform. work also demonstrates example real-time technology assessment fosters responsible innovation through inclusivity responsiveness. Through...
Nutrient cycling in crop-animal production is impacted by changes both systems, with imbalance hotspots concentrated animal regions severely impacting water quality. This study assesses manure-crop nutrient balances five river basins North Carolina and demonstrates a new approach for partial along hydrological boundaries. County-level crop data were combined crop-type spatial distribution to derive spatially referenced uptake removal. Similarly, referred inventory used excreted recovered...
Data-driven modeling approaches for crop yield prediction have exponentially increased in the last decade due to greater availability of spatial data from various sensors. Yet, most has focused on major commodities, leaving lesser-cultivated horticultural crops like sweetpotato relatively undertooled, though these considerably contribute global economy and food supply. The U.S. is primary exporter (271 K tonnes), with 21% U.S.-grown sweetpotatoes being exported. Early forecasting at county...
Recent advancements in artificial intelligence and big data analytics introduce new tools that can enhance the packing efficiency of sweetpotatoes (Ipomoea batatas) (SPs). In this study, we focused on quantification inventory as early process possible to allow for effective storage planning, smarter selection fulfill orders, ultimately reduce need refrigeration excess packed SPs. We built implemented two scanners quantify phenotype distributions at different stages post-harvest pipeline....
Consumer preference largely establishes the market value of produce. Shape and size are important aesthetic features a product's as they determine quality grade, in turn, its to consumers. Quantifying environmental management factors that contribute impact product can provide essential information breeders, growers, producers, packers. Sweetpotatoes root vegetables rich nutrients vitamins have become staple North Carolina's agricultural economy. However, since hand-harvested tend varying...
The inclusion of diverse feedstock, such as herbaceous biomass is necessary to meet the rising demand for pellets in heat and power generation, biofuel production. US well positioned pioneer a uniform-format feedstock industry. This study aims develop value-added miscanthus blended with corn stover switchgrass analyze chemical, physical, mechanical properties pellets. Pure blends ratios 75:25 50:50 were considered. pellet durability index (PDI) was less than 85%, below ISO 17225-6 standard...
Abstract. The U.S. Department of Energy (DOE) has estimated herbaceous biomass availability through simulations with the Policy Analysis System (POLYSYS) agricultural modeling framework. An operational assumption for POLYSYS limited conversion pastureland to perennial grass crops counties east 100th meridian as a proxy precipitation sufficient economically viable yield, but allowed cropland regardless location. Knowledge local conditions raised questions about predicted quantities Texas in...
Abstract Feedstock cost and variability is expected to increase with the number of biorefineries. To quantify this effect, spatial‐economic analysis simulates feedstock an industry based on corn stover as a function Results are reported for nine scenarios (a base case sensitivity four variables – harvest efficiency, sustainability constraints, opportunity cost, grain yield) under deterministic stochastic simulations, assuming biorefineries using 658 000 Mg (725 tons) year −1 in 2019. The...
This article compares the experiences and outcomes of 2069 unique students who belong to groups either historically well represented (WR) or underrepresented (UR) in science describes Biosciences Collaborative for Research Engagement (BioCoRE) undergraduate program using longitudinal data. BioCoRE aims increase number people from UR PhD pipelines.
The sustainability of the biofuel industry depends on development a mature conversion technology national level that can take advantage economies scale: nth-plant. This study addresses logistic challenge mobilizing cellulosic feedstock supplies for sustainable bioenergy industry. A Mixed Integer Linear Programming (MILP) model was developed and updated to deliver on-spec biomass considers both desired quantity quality at biorefinery. Our supply chain analysis includes multi-modal transport...