Agriculture Commons^™

Making Buildings Smarter And More Sustainable With Ai, Anthony Lowe, Martin Klepal

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Solving The Bed Crisis - Predicting 30-Day Hospital Readmissions In Elderly Patients Using Ai, Mark Mckeon, Thoa Pham

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

The Impact Of Chronic Pain On Income And Employment, Jordan Vaarsi, Amber Jolly, Karim S. Ladha

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Living The Life: A Community Approach To Men’S Health And Longevity, Paul Anders, Aisling Mcgrath

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

When Care Can’T Move Forward – The Human And Social Cost Of Freezing Of Gait In Parkinson’S Disease, Padraig Cronin, Lucy M. Collins, Aideen M. Sullivan

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Sticky Genes: Can Repeated Dna Sequences Trigger Motor Neurone Disease?, Guste Venslovaite, Russell Mclaughlin

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Life Under Pressure: How Doubling The Genome Affects The Memory Of Environmental Stress In Worms, Aisling Phelan, Emma Bazzani, Clément Verdier, Laetitia Chauve, Aoife Mclysaght

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Pause For Policy - The Cognitive Cost Of Cannabis Use In Adolescence, Michael O'Connor, Linda Kelly, Emma O'Hora, Claire O'Doherty, Ciaran Brown, An Hsu, Sahar Riaz, Frank Crosson, Darren Roddy, Mary Cannon

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

The Future Of Metabolic Health: A Needle-Free Alternative For Blood Sugar Monitoring, Conor Cleary, Martin Bradley, Christopher Crosson, John Wade

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

From Recognition To Action: Advancing Nutrition Care In Irish Healthcare, Aoife Gillane, Sarah Donovan, Lisa Ryan

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Transforming Plastic For A Sustainable Planet: Next-Generation Materials That Biodegrade Naturally, Kristof Racz, Clement Higginbotham

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

The Dock Beetle: Reducing Costs And Pesticides In Irish Agriculture, Bianca Araujo, Daniel P. Fitzpatrick

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Implementation Of The Nature Restoration Law In The Eu - Pros, Cons And Impossibilities, Emma Mcdonagh, Liam Sunner

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Ireland’S Energy Transition: Unlocking The Potential Of Offshore Renewables, Caoimhe O'Hare, Madjid Karimirad, Gautam Baruah

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

From Conflict To Connection: Educators Leading The Shift Towards Restorative Practices (Rp) In Deis Primary Schools, Ellen Slattery, Clara Hoyne

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Bridging The Gap From Preschool To Primary: From Policy To Practice, Aimee O'Connor, Cóilín O’ Braonáin

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Editorial, Anne M. Friel, Brigid Hooban, Therese Montgomery, Anne Marie O'Brien, Cormac Quigley, Edel Mcneela, Eva Campion, James Walshe, Sinead Loughran

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Identifying Superior Finger Millet (Eleusine Coracana L.) Landraces Using The Multi-Trait Genotype-Ideotype Distance Index (Mgidi), Sujan Chapagaina, Bishnu Prasad Kandela, Sudikshya Shresthaa, Ankur Poudela, Shubh Pravat Singh Yadavb

Extension Publications

Genetic variability and selection are crucial for finger millet breeding programs to maximize genetic gain and productivity. This study evaluated 18 finger millet landraces cultivated in the mid-hills of Nepal, along with ‘Kavre Kodo 2’ as a check variety, assessing 14 agro-morphological traits. The objective was to identify superior finger millet landraces using a multivariate approach based on the multi-trait genotype– ideotype distance index (MGIDI). The experiment was conducted in a randomized complete block design (RCBD) with three replications. Principal component analysis revealed that the first five components collectively accounted for 80.8% of the total variation, reflecting the genetic relatedness …

Comparative Decomposition Rates Of Prickly Pear And Sage Using Litterbags, Curtis Jang, Vy Ly, Ashlyn Reagan, Ellie Sebaugh, Darlene Panvini

Science University Research Symposium (SURS)

Litterbags are used to study nutrient cycling and track the rate of decomposition over time. Decomposition rates may vary between plant species due to various factors. One factor includes the abundance of lignin, or a structural component that provides support to a plant, which can slow the rate of decomposition. This study compared the decomposition rate of sage (Salvia officinalis), which has higher lignin levels, and prickly pear (Opuntia humifusa), which has higher water content and thus lower lignin levels. Four samples of each species, with two replicates each, were initially weighed and then placed in …

Ecophysiological Benefits Of Industrial Organic Wastes On Alfalfa Yield And Stress Mitigation In Saline Soils, Shugao Fan, Zhuanzhuan Ma, Jiawei Wu, Tianhui Yang, Jincheng Hao, Shumei Chen, Xutong Hu, Ying Zhao

School of Mathematical & Statistical Sciences Faculty Publications

Rising soil salinity and water scarcity demand sustainable solutions to maintain crop productivity. This study evaluated four agro-industrial organic amendments—fish emulsion, neem cake, coffee grounds, and seaweed extract on alfalfa (Medicago sativa) under combined salinity and drought stress, assessing their effects on soil respiration, plant physiology, and yield. Soil CO₂ efflux varied significantly among treatments: coffee grounds induced the highest microbial activity (6.2 μmol m⁻² s⁻¹), suggesting rapid decomposition, while neem cake exhibited stable emissions (3.8 μmol m⁻² s⁻¹), indicating slower organic matter turnover. Fish emulsion showed intermediate dynamics, peaking at 4.8 μmol m⁻² s⁻¹ by week 4, …

Quantifying Single, Compound And Cascading Climate Extremes: Implications For Agricultural Resilience In California, Shahryar Fazli, Wenzhao Li, Rejoice Thomas, Surendra Maharjan, Mohammad Sina Jahangiri, Andre Daccache, Hesham Morgan, Mohamed Allali, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

As climate change intensifies, extreme weather increasingly threatens California’s Central Valley (CV), a vital agricultural region exposed to rising risks from heatwaves (HW), droughts (DR), and compound extremes. These events disrupt crop productivity and broader processes like water demand, pest dynamics, and soil stability, posing systemic risks. This study examines the spatiotemporal dynamics of HW, coldwaves (CW), DR, excessive rainfall (ER), and their compound (e.g., HWDR) and cascading forms from 1951 to 2025, using NOAA nClimGrid-Daily data. We assessed trends in frequency, intensity, and duration over long-term (1951–2025) and mid-term (1981–2025) periods. Results show increasing HW and DR in the …

Securing The Digital Harvest: Cybersecurity As A Core Agribusiness Skill, Jody Herchenbach, George Grispos

Mountain Plains Business Conference

The digitization of agriculture, through IoT-enabled equipment, cloud platforms, and precision technologies, has improved efficiency and profitability while also introducing significant cybersecurity risks. These vulnerabilities can disrupt supply chains, compromise sensitive data, and undermine financial stability. Yet agribusiness degree programs often overlook cybersecurity education. This paper proposes integrating cybersecurity content on threat awareness, incident response, and data protection into agribusiness curricula. Embedding these elements equips graduates to manage both digital and financial risks, enhancing resilience and competitiveness. Such curricular innovation aligns technical and managerial training, preparing future agribusiness professionals to lead securely and sustainably in an increasingly connected industry.

Factors Influencing Plant Community Structure And Composition Of Restored Tamaulipan Thornscrub Forests, Jerald T. Garrett, Audrey J. Hicks, Christopher A. Gabler

School of Earth, Environmental, & Marine Sciences Faculty Publications

The Lower Rio Grande Valley (LRGV) of Texas is a biodiversity hotspot due to its high alpha, beta, and gamma diversity and high regional endemism, which are at high risk of degradation. The region has lost 95% of its native thornforest habitat primarily due to agricultural and urban expansion. This study aims to evaluate the current vegetative structure and composition of restored thornforest sites located in the LRGV to identify restoration methods and site characteristics that affect forest restoration outcomes. Twelve restored thornforest sites were selected for this study that varied in time since restoration, patch size, degree of isolation, …

A Feature Engineering Technique For Enhancing The Generalization Of Machine Learning Models In Estimating Crop Evapotranspiration, Gaku Yokoyama, Sohta Harigai, Shigehiro Kubota, Koichi Nomura, Gregory R. Goldsmith, Daisuke Yasutake, Tomoyoshi Hirota, Masaharu Kitano

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Accurate and precise estimation of evapotranspiration (ET) is crucial for understanding the terrestrial carbon, water, and energy cycles. While process-based models of ET, such as the Penman–Monteith model offer robust generalization capabilities, they are limited by the need for detailed parameters (e.g., stomatal conductance,) that are challenging to measure continuously. On the other hand, machine learning models can estimate ET by capturing relationships between ET and environmental variables without experimentally measuring model parameters. However, machine learning models face the challenge of limited generalizability. This issue is particularly significant given the uncertainty introduced by changing climatic …

Western Australian And South Australian Grain Enterprise Emission Intensities And Gross Margins: A Review, Christophe D'Abbadie, Ross Kingwell

Farm Systems and Economics research articles

Drawing on various datasets, crop enterprise emission intensities and gross margins are reported for the main broadacre crops grown in Western Australia and South Australia. Values are reported for various rainfall regions and across time, and for different farm performance groupings. As a generalisation, in each region, wheat and canola production display marked increases in emissions intensity across the study period whilst legume crops’ emission intensities increase far less. Wheat crops display upward emission intensity trajectories across time whilst displaying different rates of increase in emissions intensity according to regional rainfall. Canola demonstrates higher emissions intensities per tonne compared to …

Unraveling Crop Nitrogen-Water Dynamics With Hyperspectral-Thermal Sensing In Northern Central Valley, California, Shahryar Fazli, Surendra Maharjan, Wenzhao Li, Joshua B. Fisher, Rejoice Thomas, Fernando Romero Galvan, Gabriela Shirkey, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Ensuring global food security in the face of climate change requires optimizing crop water use and nutrient management. This study investigates the relationship between canopy nitrogen (N) and evapotranspiration (ET) across sunflower, rice, walnut, alfalfa, and plum crops using advanced remote sensing technologies. High-resolution hyperspectral data from NASAs Earth Surface Mineral Dust Source Investigation (EMIT) and thermal multispectral data from the Landsat-based OpenET system were analyzed over 1,135 km² in California. Regression analysis revealed strong spatial association between canopy N and ET for sunflower (R² = 0.82), rice (R² = 0.71), and walnut (R² = 0.68), …

Procedures For Rangeland Condition Assessment In The Kimberley 2025, Department Of Primary Industries And Regional Development, Western Australia

Natural resources published reports

This report defines the procedures used in 2025 by DPIRD to complete rangeland condition assessment (RCA) in the Kimberley region which has grass-based pastures. For the rest of the pastoral estate, DPIRD uses the Procedures for RCA in the Pilbara and southern rangelands which have predominantly shrub pastures.

RCA is the process DPIRD uses to make systematic, station-level assessment of rangeland. Rangeland condition considers both the condition of pastures (as defined in the 'Pasture condition guide for the Kimberley') and soils as determined by erosion, using the erosion assessment method on pastoral lands in Western Australia. The methods have evolved …

Procedures For Rangeland Condition Assessment In The Pilbara And Southern Rangelands 2025, Department Of Primary Industries And Regional Development, Western Australia

Natural resources published reports

This report defines the procedures used in 2025 by DPIRD to complete rangeland condition assessment (RCA) in the Pilbara and southern rangelands region which has predominantly shrub-based pastures. For the rest of the pastoral estate, DPIRD uses the Procedures for RCA in the Kimberley which has grass pastures.

RCA is the process DPIRD uses to make systematic, station-level assessment of rangeland. Rangeland condition considers both the condition of pastures (defined in the ‘Pasture condition guides for the Pilbara’ and ‘Pasture condition guides for the southern rangelands including the Gascoyne, Murchison and Goldfields-Nullarbor’) and soils as determined by erosion, using the …

An Economic Assessment Of Precision Conservation With On-Farm Precision Experiment Data, Karina A. Schoengold, Badri Khanal, Taro Mieno, David S. Bullock

Cornhusker Economics

Using a novel dataset that includes within field variation in productivity, we find that partial field retirement for a prairie strip can not only provide conservation benefits, but can also be economically beneficial. We note that these results are for a single field with one year of data, and that additional years of production and fields are essential to determine how much these results can be generalized. We also note that precision systems can be costly, and a comparison of outcomes with and without this information is essential to determine if investing in such systems is profitable. However, variable rate …

Efficacy Of Lactobacillus Rhamnosus And Its Metabolites To Mitigate The Risk Of Foodborne Pathogens In Hydroponic Nutrient Solution, Esther Oginni, Robin A. Choudhury, Veerachandra Yemmireddy

School of Earth, Environmental, & Marine Sciences Faculty Publications

Hydroponic nutrient solution (HNS) has been established as an ideal conduit for pathogen contamination and proliferation. This study evaluated the efficacy of lactic acid bacteria and their metabolites in mitigating the risk of foodborne pathogens in HNS when compared to conventional chemical treatments. Hoagland’s HNS were prepared according to the manufacturer’s instructions and inoculated with Salmonella Typhimurium, Escherichia coli 0157:H7, and Listeria innocua at 105 CFU/mL cell concentration. These nutrient solutions were subjected to treatment with various concentrations of Lactobacillus rhamnosus live cells, a cell-free extract (CFE) of L. rhamnosus metabolites, sodium hypochlorite and peroxyacetic acid at 22 ± 1 …