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Precision Agriculture: Precision Resource Management - Phase VI
T.S. Stombaugh, C.T. Agouridis, S.A. Shearer, J. Wilhoit, S.K. Pitla, M.P. Sama, R.S. Zandonadi, R.C. Warner, J.D. Luck, T.C. Dowdy, B.D. Lee, M.A. Arthur
Department of Biosystems and Agricultural Engineering
Problems facing most Kentucky landowners and farmers include the lack of appropriate and cost effective strategies to manage scarce and variable resources in a site-specific manner. Specific efforts in this project are split between developing and advancing geospatial technologies in support of three thrusts:
i) natural resource management,
ii) land use planning and decision-making and
iii) agricultural systems in Kentucky.
These thrusts are addressed by specific objectives within 13 subprojects. The titles of each subproject and broad overall goals are as follows:
1) Spatial Pattern and Environmental Factors that Contribute to Tall Fescue Resistance to Eradication and Re-establishment - utilize a spatial sampling approach for grassland restoration to identify whether tall fescue dominance is correlated to environmental and biotic parameters, assess the herbicide efficacy, and to quantify tall fescue re-establishment.
2) Light Detection and Ranging (LiDAR) for Forest Inventory and Fuel Load Mapping - to determine the potential for LiDAR for quantifying fuel loads and altered stand structure resulting from known prescribed burns.
3) Determining Landscape Areas for Targeted Reforestation Efforts - identify reforestation opportunities and constraints using KLS and KLC data to model reforestation scenarios.
4) Use of GIS and WATER to Identify and Delineate Stream Types in Eastern Kentucky - develop standard protocols to delineate ephemeral, intermittent and perennial streams.
5) Is There Spatial Coincidence in Elevated Soil P and Runoff Potential in Pastures - use spatial analysis to evaluate the coincidence higher soil P with run-off potential to predict off-site movement.
6) Predicting Landscape Change in the Central Bluegrass - utilize KLS, KLC, and Landsat data to develop predictive models for assessing landscape change.
7) Precision Agriculture's Impact on Kentucky Farmers' Carbon Footprint - provide grain crop producers economically sound avenues for environmental enhancement through the adoption of precision agriculture technologies.
8) Scalable Control and Data Acquisition for Variable-Rate Applications - develop variable-rate distributed control networks for use with commercial sprayers.
9) Sprayer Controller Evaluation for Improving Spatial Application of Pesticides - develop capacitance-based wireless sensor network for evaluating spray application uniformity.
10) Robotic Architecture for Deployment of Multiple Autonomous Agricultural Vehicles - develop robust control methodology/architectures and communication protocols or coordinating multiple UAgVs.
11) Automated Guidance for Improved Plasticulture Production Systems - evaluate autosteer systems for laying plastic mulch and for subsequent production passes.
12) Designing Grassed Waterway Systems Using LIDAR Data - determine if concentrated flow pathways can be identified with LIDAR for the identification of waterways.
13) Impact of Animal Position within Dairy Compost Bedded Pack Barns on Barn Performance - develop a low-cost animal position monitoring system for use in confinement dairy facilities.