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Jeffrey Siegfried
Jeffrey Siegfried
CNH Industrial
Verifierad e-postadress på CNHIND.COM
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Multispectral satellite imagery to quantify in-field soil moisture variability
J Siegfried, L Longchamps, R Khosla
Journal of Soil and Water Conservation 74 (1), 33-40, 2019
172019
Combining a cotton ‘Boll Area Index’with in-season unmanned aerial multispectral and thermal imagery for yield estimation
J Siegfried, CB Adams, N Rajan, S Hague, R Schnell, R Hardin
Field Crops Research 291, 108765, 2023
122023
Field-Based Calibration of Unmanned Aerial Vehicle Thermal Infrared Imagery with Temperature-Controlled References
X Han, JA Thomasson, V Swaminathan, T Wang, J Siegfried, R Raman, ...
Sensors 20 (24), 7098, 2020
122020
Infrared thermometry to quantify in-field soil moisture variability
J Siegfried, R Khosla, L Longchamps
Journal of Crop Improvement 31 (1), 72-90, 2017
72017
Calibrating UAV-based thermal remote-sensing images of crops with temperature controlled references
X Han, A Thomasson, J Siegfried, R Raman, N Rajan, H Neely
2019 ASABE Annual International Meeting, 1, 2019
32019
Remote sensing to quantify in-field soil moisture variability in irrigated maize production
JA Siegfried
2000-2019-CSU Theses and Dissertations, 2016
12016
High-accuracy infrared thermography of cotton canopy temperature by unmanned aerial systems (UAS): Evaluating in-season prediction of yield
J Siegfried, N Rajan, CB Adams, H Neely, S Hague, R Hardin, R Schnell, ...
Smart Agricultural Technology 7, 100393, 2024
2024
A modular artificial neural network technique for early estimation of cotton yield using unmanned aerial system
A Shrestha, V Swaminathan, JA Thomasson, N Rajan, C Poudyal, ...
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and …, 2023
2023
Delineation of Site-Specific Management Zones with Proximal Data and Multi-Spectral Imagery
W Yilma, R Khosla, J Siegfried
ASA, CSSA, SSSA International Annual Meeting, 2021
2021
Vegetation Indices in Cotton Is Influenced By Soil Background Conditions
R Raman, N Rajan, HL Neely, J Siegfried, AMH Ibrahim, RG Hardin, ...
ASA, CSSA, SSSA International Annual Meeting, 2021
2021
Unmanned Aerial Remote Sensing for Estimating Cotton Yield
JA Siegfried
2021
Monitoring Cotton Growth with Unmanned Aerial Infrared Thermography
J Siegfried, N Rajan, HL Neely
ASA, CSSA and SSSA International Annual Meetings (2019), 2019
2019
Unmanned Aerial Remote Sensing for Assessing Cotton Yield Variability
J Siegfried, N Rajan
ASA, CSSA and SSSA International Annual Meetings (2019), 2019
2019
Spectral Signature: A Decision-Making Approach to Study Disease Stress in Wheat Genotypes
R Raman, N Rajan, M Bhandari, J Siegfried, HL Neely, A Ibrahim
ASA, CSSA and SSSA International Annual Meetings (2019), 2019
2019
Proximal and Unmanned Aerial Remote Sensing for Crop Growth and Stress Monitoring.
J Siegfried, N Rajan
ASA, CSSA, and CSA International Annual Meeting (2018), 2018
2018
Image Transformation Techniques for Counting Plants in Randomly Emerging, Non-Uniformly Distributed Field from Early Season Aerial Imageries
V Swaminathan, N Rajan, JA Thmoasson, KM Capcha, A Shrestha, ...
ASA, CSSA and SSSA International Annual Meetings (2020)| VIRTUAL, 0
Efficiency of Vegetation Indices in Detecting Wheat Leaf Rust Infection
R Raman, N Rajan, HL Neely, M Bhandari, J Siegfried, AMH Ibrahim, ...
ASA, CSSA and SSSA International Annual Meetings (2020)| VIRTUAL, 0
TRACKING SPATIOTEMPORAL PARAMETERS FOR IN-SEASON NITROGEN MANAGEMENT AND YIELD PREDICTION IN COTTON
V Swaminathan, JA Thomasson, N Rajan, A Shrestha, J Siegfried, ...
Unmanned Aerial Systems for Agricultural Research and Decision Making: Opportunities and Challenges
N Rajan, J Siegfried, R Raman, B Sapkota, M Bagavathiannan, ...
ASA, CSSA and SSSA International Annual Meetings (2020)| VIRTUAL, 0
Sensor Fusion for Monitoring Cotton Growth
J Siegfried, N Rajan, HL Neely
ASA, CSSA and SSSA International Annual Meetings (2020)| VIRTUAL, 0
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Artiklar 1–20