Articles with public access mandates - J A ThomassonLearn more
Not available anywhere: 7
A powerful image synthesis and semi-supervised learning pipeline for site-specific weed detection
C Hu, JA Thomasson, MV Bagavathiannan
Computers and Electronics in Agriculture 190, 106423, 2021
Mandates: US Department of Agriculture
A lightweight SSV2-YOLO based model for detection of sugarcane aphids in unstructured natural environments
W Xu, T Xu, JA Thomasson, W Chen, R Karthikeyan, G Tian, Y Shi, C Ji, ...
Computers and Electronics in Agriculture 211, 107961, 2023
Mandates: Department of Science & Technology, India
Estimation of plant health in a sorghum field infected with anthracnose using a fixed-wing unmanned aerial system
NA Pugh, X Han, SD Collins, JA Thomasson, D Cope, A Chang, J Jung, ...
Journal of Crop Improvement 32 (6), 861-877, 2018
Mandates: US Department of Energy
NIR reflectance and MIR attenuated total reflectance spectroscopy for characterizing algal biomass composition
Y Ge, JA Thomasson
Transactions of the ASABE 59 (2), 435-442, 2016
Mandates: US Department of Energy
Algorithm and system development for robotic micro-volume herbicide spray towards precision weed management
C Hu, S Xie, D Song, JA Thomasson, RG Hardin IV, M Bagavathiannan
IEEE Robotics and Automation Letters 7 (4), 11633-11640, 2022
Mandates: US National Science Foundation, US Department of Agriculture
Applications of sensing for disease detection
AI de Castro Megías, C Pérez-Roncal, JA Thomasson, R Ehsani, ...
Sensing approaches for precision agriculture, 369-398, 2021
Mandates: US Department of Agriculture, Government of Spain
Algae optical density sensor for pond monitoring and production process control.
Y Yao, Y Ge, JA Thomasson, R Sui
International Journal of Agricultural & Biological Engineering 11 (1), 2018
Mandates: US Department of Energy, US Department of Defense
Available somewhere: 18
Unmanned aerial vehicles for high-throughput phenotyping and agronomic research
Y Shi, JA Thomasson, SC Murray, NA Pugh, WL Rooney, S Shafian, ...
PloS one 11 (7), e0159781, 2016
Mandates: US Department of Agriculture
Measurement and calibration of plant-height from fixed-wing UAV images
X Han, JA Thomasson, GC Bagnall, NA Pugh, DW Horne, WL Rooney, ...
Sensors 18 (12), 4092, 2018
Mandates: US Department of Agriculture
Review of the cultivation program within the National Alliance for Advanced Biofuels and Bioproducts
PJ Lammers, M Huesemann, W Boeing, DB Anderson, RG Arnold, X Bai, ...
Algal research 22, 166-186, 2017
Mandates: US Department of Energy, Natural Sciences and Engineering Research Council …
Prediction of maize grain yield before maturity using improved temporal height estimates of unmanned aerial systems
SL Anderson, SC Murray, L Malambo, C Ratcliff, S Popescu, D Cope, ...
The Plant Phenome Journal 2 (1), 1-15, 2019
Mandates: US Department of Agriculture
Influence of image quality and light consistency on the performance of convolutional neural networks for weed mapping
C Hu, BB Sapkota, JA Thomasson, MV Bagavathiannan
Remote Sensing 13 (11), 2140, 2021
Mandates: US Department of Agriculture
Report from the conference,‘identifying obstacles to applying big data in agriculture’
EL White, JA Thomasson, B Auvermann, NR Kitchen, LS Pierson, ...
Precision Agriculture 22, 306-315, 2021
Mandates: US Department of Agriculture
Detecting volunteer cotton plants in a corn field with deep learning on UAV remote-sensing imagery
PK Yadav, JA Thomasson, R Hardin, SW Searcy, U Braga-Neto, ...
Computers and Electronics in Agriculture 204, 107551, 2023
Mandates: US Department of Agriculture
GIS-based volunteer cotton habitat prediction and plant-level detection with UAV remote sensing
T Wang, X Mei, JA Thomasson, C Yang, X Han, PK Yadav, Y Shi
Computers and Electronics in Agriculture 193, 106629, 2022
Mandates: US Department of Agriculture
Ground and aerial robots for agricultural production: Opportunities and challenges
S Pitla, S Bajwa, S Bhusal, T Brumm, TM Brown-Brandl, DR Buckmaster, ...
Mandates: US Department of Agriculture
Assessing the performance of YOLOv5 algorithm for detecting volunteer cotton plants in corn fields at three different growth stages
PK Yadav, JA Thomasson, SW Searcy, RG Hardin, U Braga-Neto, ...
Artificial intelligence in agriculture 6, 292-303, 2022
Mandates: US Department of Agriculture
Forecasting yield and lignocellulosic composition of energy cane using unmanned aerial systems
U Cholula, JA da Silva, T Marconi, JA Thomasson, J Solorzano, J Enciso
Agronomy 10 (5), 718, 2020
Mandates: US Department of Agriculture
Multifunctional ground control points with a wireless network for communication with a UAV
X Han, JA Thomasson, Y Xiang, H Gharakhani, PK Yadav, WL Rooney
Sensors 19 (13), 2852, 2019
Mandates: US Department of Agriculture
Autonomous mobile ground control point improves accuracy of agricultural remote sensing through collaboration with UAV
X Han, JA Thomasson, T Wang, V Swaminathan
Inventions 5 (1), 12, 2020
Mandates: US Department of Agriculture
Publication and funding information is determined automatically by a computer program