Proceedings

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Dunbabin, M
White, S
Liu, S
Baggard, J
Barnes, W
Reddy, S
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Authors
Amakor, X
Jacobson, A.R
Cardon, G.E
Hawks, A
Barnes, W
White, S
Adkins, J
Whaley, C
Lum, C
Dunbabin, M
Shaw-Feather, C
Mackenzie, M
Luker, E
Sui, R
Baggard, J
Reddy, S
Biradar, D.P
Patil, V.C
Desai, B.L
Nargund, V.B
Patil, P
Desai, V
Tulasigeri, V
Channangi, S.M
John, W
Liu, S
Yang, G
Topics
Remote Sensing Applications in Precision Agriculture
Precision A-Z for Practitioners
Unmanned Aerial Systems
Drainage Optimization and Variable Rate Irrigation
Applications of Unmanned Aerial Systems
Type
Poster
Oral
Year
2010
2016
2018
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Filter results6 paper(s) found.

1. Apparent Electrical Conductivity Calibration In Semiarid Soils: Ion-pair Correction

The electromagnetic induction sensor (EM38DD) is a field proven portable sensor for rapid measurement of the apparent electrical conductivity (ECa) of soils. Calibration with the electrical conductivity of saturation paste extracts is the most widely used method to correlate ECa with the effective electrical conductivity (ECe). A drawback of this method is the formation of ion pairs in the high ionic strength saturated paste extracts, which effectively decreases the measured ECe, leading to the... X. Amakor, A.R. Jacobson, G.E. Cardon, A. Hawks, W. Barnes

2. Precision Irrigation To Improve Water Use Efficiency

  Efficient water use is the key to sustainable management of water resources.  Over irrigating is wasteful and can lead to leaching of fertilizers and other potential pollutants into both underground and surface water supplies, whereas under irrigation leads to reduced yields.  The spatial and temporal characterization of crop water consumption is important for efficient management of water resources and allows water delivery to match agricultural demands.   Research... S. White, J. Adkins, C. Whaley

3. Multispectral Imaging and Elevation Mapping from an Unmanned Aerial System for Precision Agriculture Applications

As the world population continues to grow, the need for efficient agricultural production becomes more pressing.  The majority of farmers still use manual techniques (e.g. visual inspection) to assess the status of their crops, which is tedious and subjective.  This paper examines an operational and analytical workflow to incorporate unmanned aerial systems (UAS) into the process of surveying and assessing crop health.  The proposed system has the potential to significantly reduce... C. Lum, M. Dunbabin, C. Shaw-feather, M. Mackenzie, E. Luker

4. Wireless Sensor System for Variable Rate Irrigation

Variable rate irrigation (VRI) systems use intelligent electronic devices to control individual sprinklers or groups of sprinklers to deliver the desired amount irrigation water at each specific location within a field according to VRI prescriptions. Currently VRI systems, including software tools for generate prescription maps, are commercially available for VRI practices. However, algorithms and models are required to determine the desired amount of water that needs to be applied based on the... R. Sui, J. Baggard

5. Prototype Unmanned Aerial Sprayer for Plant Protection in Agricultural and Horticultural Crops

Aerial application of pesticides has the potential to reduce the amount of pesticides required as chemicals are applied where needed. A prototype Unmanned Aerial Sprayer with a payload of 20 kg; a spraying rate of 6 liters per minute; a spraying swathe of 3 meters, coverage rate of 2 to 4 meters per second and 10 minutes of flight time was built using state of the art technologies. The project is a joint development by University of Agricultural Sciences, Dharwad, KLE Technological University,... S. Reddy, D.P. Biradar, V.C. Patil, B.L. Desai, V.B. Nargund, P. Patil, V. Desai, V. Tulasigeri, S.M. Channangi, W. John

6. Estimates of Plant Number of Maize Crop at Seedling from High-Throughput UAV Imagery

The acquisition of such agricultural information as crop growth and output is of great significance for the development of modern agriculture. Using the image analysis is important to gain information on plant properties, health and phenotype. This study uses the unmanned aerial vehicle images about Maize breeding material collected in Beijing Xiao Tang mountain town in June 2017. The four color space transformation of RGB, HSV, YCbCr and L*A*B was used to divide the UAV image foreground (crop)... S. Liu, G. Yang