Other Civil and Environmental Engineering Commons^™

A Text Analytics Model For Agricultural Knowledge Discovery And Sustainable Food Production: A Case Study From Oklahoma Panhandle, Ali Bagheri, Saleh Taghvaeian, Dursun Delen

Department of Biological Systems Engineering: Papers and Publications

With recent increases in the use of social media in agricultural communities, many farmers are showing more and more interest in participating in social media and sharing different aspects of their profession with peers and policymakers. However, researchers have not explored this valuable data source well enough to help improve agribusiness decision-making. This study aims to investigate the potential capability and richness of social media for agricultural knowledge discovery, which can help monitor, detect, and predict critical agricultural events and activities and develop more sustainable food production and agricultural economy. This research utilizes text-mining tools and techniques to collect, process, …

Towards A Cybersecurity Testbed For Agricultural Vehicles And Environments, Mark Freyhof, George Grispos, Santosh Pitla, Cody Stolle

Department of Biological Systems Engineering: Papers and Publications

In today’s modern farm, an increasing number of agricultural systems and vehicles are connected to the Internet. While the benefits of networked agricultural machinery are attractive, this technological shift is also creating an environment that is conducive to cyberattacks. While previous research has focused on general cybersecurity concerns in the farming and agricultural industries, minimal research has focused on techniques for identifying security vulnerabilities within actual agricultural systems that could be exploited by cybercriminals. Hence, this paper presents STAVE – a Security Testbed for Agricultural Vehicles and Environments – as a potential solution to assist with the identification of cybersecurity …

Impact Of Vegetative Treatment Systems On Multiple Measures Of Antibiotic Resistance In Agricultural Wastewater, Lisa M. Durso, Daniel N. Miller, Christopher G. Henry

Department of Biological Systems Engineering: Papers and Publications

Wastewater is an important vector of antibiotic resistant bacteria and antibiotic resistance genes (ARB/G). While there is broad agreement that ARB/G from agricultural (ag) wastewaters can be transported through the environment and may contribute to untreatable infectious disease in humans and animals, there remain large knowledge gaps surrounding applied details on the types and amounts of ARB/G associated with different agricultural wastewater treatment options and different ag production systems. This study evaluates a vegetative treatment system (VTS) built to treat the wastewater from a beef cattle feedlot. Samples were collected for three years, and plated on multiple media types to …

Spatial And Temporal Changes In Maize And Soybean Grain Yield, Precipitation Use Efficiency, And Crop Water Productivity In The U.S. Great Plains, Meetpal S. Kukal, S. Irmak

Department of Biological Systems Engineering: Papers and Publications

Sustainable agricultural utilization of the limited water resources demands improvements in understanding the changes in crop water productivity (CWP) in space and time, which is often presented as a potential solution to relieve the growing pressure on fresh water resources. In addition, crop yield needs to be studied in relation to precipitation received annually and during the growing season for its contribution to reduce irrigation water requirements, which is quantified through precipitation use efficiency (PUE). Hence, systematic quantifications, mapping, and analyses of large-scale CWP and PUE levels are needed. This study aims to quantify long-term (1982-2013) information on grain yield, …

The Economics Of Agricultural Water Productivity In The Blue Nile, Imeshi Weerasinghe, James Booker, Wim Bastiaanssen, Lisa-Marie Rebelo, Ann Van Griensven

International Congress on Environmental Modelling and Software

Agricultural Water Productivity (AWP) is often simplified as the ‘crop per drop’, described as the output in terms of yield or biomass per unit of water input. This purely physical measure of Water Productivity (WP) using only a single factor input (water) does not consider: (1) the level of other inputs used in conjunction with water, (2) the opportunity cost of water as an input, (3) the value of the output and (4) the costs of production for different crops. This study presents a justification and methodology for incorporating these factors into WP indicators. The application of these extensions to …

Using Scenario Analysis To Investigate Uncertainty In Water Resource Management, Baihua Fu, Joseph Guillaume, Mike Asher, Tony Jakeman

International Congress on Environmental Modelling and Software

Water resource management is a challenging task due to the complexity and uncertainty of the environmental systems and challenges of addressing multiple stakeholder perspectives. A crucial issue is therefore in specifically understanding if and how we can make decisions under such deep uncertainty.

We examined this issue in a case study which estimates groundwater sustainability, farm profit and ecological outcomes of many drivers (e.g. climate change, water policy, farm practices). An integrated model was developed for this purpose. It encompasses a surface and groundwater model, water allocation rules, a farm decision and crop model and an ecology model. Scenarios were …

Explicit Cost Accounting For Adaptation, Mitigation And Ecosystem Service Provision In Agriculture, Franz Sinabell, Karin Heinschink, Christoph Tribl

International Congress on Environmental Modelling and Software

Farmers, policy makers and scientists are well aware of this problem: obtaining sound cost information for climate change adaptation and mitigation measures in agriculture or ecosystem service provision by agriculture is burdensome. In most cases, data sets are developed for a specific region with a given set of management variants for a baseline period. Adapting such information to another region or adjusting costs to expected future price scenarios requires additional efforts and frequently done an ad-hoc and case by case. A new tool is presented that can be used to identify and analyze the entangled effects of future climate and …

An Agent-Based Model Of Jordan Highland Farmer Decision Making, Phil Selby, Josue Medellin-Azuara, Christian Klassert, Jim Yoon, Julien Harou

International Congress on Environmental Modelling and Software

We build a hydro-economic behavioural model of groundwater irrigated agriculture to help understand and analyse the impact of institutional and biophysical changes on land and water use in the Jordan Highlands. The model sits within a Multi-Agent-Simulation (MAS) framework representing the physical and institutional components of the wider national water resources system, which are being modelled by an interdisciplinary team, including a tanker water market and a groundwater model which interact with the farmer model. The MAS is designed to evaluate climate change scenarios and policy interventions to test whether reform of institutional rules that govern water usage in Jordan …

Vulnerability Of Crops And Native Grasses To Summer Drying In The U.S. Southern Great Plains, Naama Raz-Yaseef, Dave P. Billesbach, Marc L. Fischer, Sebastien C. Biraud, Stacey A. Gunter, James A. Bradford, Margaret S. Torn

Department of Biological Systems Engineering: Papers and Publications

The Southern Great Plains are characterized by a fine-scale mixture of different land-cover types, predominantly winter-wheat and grazed pasture, with relatively small areas of other crops, native prairie, and switchgrass. Recent droughts and predictions of increased drought in the Southern Great Plains, especially during the summer months, raise concern for these ecosystems. We measured ecosystem carbon and water fluxes with eddy-covariance systems over cultivated cropland for 10 years, and over lightly grazed prairie and new switchgrass fields for 2 years each. Growing-season precipitation showed the strongest control over net carbon uptake for all ecosystems, but with a variable effect: grasses …