| 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 | 23 | 2019 |
| 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 | 21 | 2020 |
| 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 | 16 | 2023 |
| Infrared thermometry to quantify in-field soil moisture variability J Siegfried, R Khosla, L Longchamps Journal of Crop Improvement 31 (1), 72-90, 2017 | 7 | 2017 |
| 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 | 5 | 2024 |
| 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 | 3 | 2019 |
| 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 | 1 | 2023 |
| Unmanned Aerial Remote Sensing for Estimating Cotton Yield JA Siegfried | 1 | 2021 |
| Remote sensing to quantify in-field soil moisture variability in irrigated maize production JA Siegfried 2000-2019-CSU Theses and Dissertations, 2016 | 1 | 2016 |
| Inexpensive Biodegradable Sensors for Precision Ag Applications J Siegfried, R Khosla, W Yilma ASA, CSSA, SSSA International Annual Meeting, 2021 | | 2021 |
| 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 |
| 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 | | |
Longchamps LouisCornell UniversityПодтвержден адрес электронной почты в домене cornell.edu