Yield estimation in cotton using UAV-based multi-sensor imagery A Feng, J Zhou, ED Vories, KA Sudduth, M Zhang Biosystems Engineering 193, 101-114, 2020 | 166 | 2020 |
Evaluation of cotton emergence using UAV-based imagery and deep learning A Feng, J Zhou, E Vories, KA Sudduth Computers and Electronics in Agriculture 177, 105711, 2020 | 61 | 2020 |
Cotton yield estimation from UAV-based plant height A Feng, M Zhang, KA Sudduth, ED Vories, J Zhou Transactions of the ASABE 62 (2), 393-404, 2019 | 57 | 2019 |
Transmission of SARS-CoV-2 in free-ranging white-tailed deer in the United States A Feng, S Bevins, J Chandler, TJ DeLiberto, R Ghai, K Lantz, J Lenoch, ... Nature communications 14 (1), 4078, 2023 | 35 | 2023 |
Evaluation of cotton emergence using UAV-based narrow-band spectral imagery with customized image alignment and stitching algorithms A Feng, J Zhou, E Vories, KA Sudduth Remote Sensing 12 (11), 1764, 2020 | 31 | 2020 |
Corn emergence uniformity estimation and mapping using UAV imagery and deep learning CN Vong, LS Conway, A Feng, J Zhou, NR Kitchen, KA Sudduth Computers and Electronics in Agriculture 198, 107008, 2022 | 28 | 2022 |
Detection and tracking of pigs in natural environments based on video analysis D Xiao, A Feng, J Liu International Journal of Agricultural and Biological Engineering 12 (4), 116-126, 2019 | 13 | 2019 |
Cotton yield estimation based on plant height from UAV-based imagery data A Feng, K Sudduth, E Vories, M Zhang, J Zhou 2018 ASABE Annual International Meeting, 1, 2018 | 12 | 2018 |
Fast Motion Detection for Pigs Based on Video Tracking D Xiao, A Feng, Q Yang, J Liu, Z Zhang Transactions of the Chinese Society for Agricultural Machinery 47 (10), 351-357, 2016 | 11* | 2016 |
Cotton yield prediction using remote visual and spectral images captured by UAV system. Z Meina, F Aijing, Z Jianfeng, L Xiaolan Transactions of the Chinese Society of Agricultural Engineering 35 (5), 2019 | 6 | 2019 |
Genomic diversity, pathogenicity and antimicrobial resistance of Escherichia coli isolated from poultry in the southern United States A Feng, S Akter, SA Leigh, H Wang, GT Pharr, J Evans, SL Branton, ... BMC microbiology 23 (1), 15, 2023 | 5 | 2023 |
Quantifying the effect of environments on crop emergence, development and yield using sensing and deep learning techniques A Feng University of Missouri-Columbia, 2021 | 5 | 2021 |
Evaluation of cotton stand count using UAV-based hyperspectral imagery A Feng, KA Sudduth, ED Vories, J Zhou 2019 ASABE Annual International Meeting, 1, 2019 | 5 | 2019 |
LSTM-based cotton yield prediction system using UAV imagery S Wang, A Feng, T Lou, P Li, J Zhou 2020 ASABE Annual International Virtual Meeting, 1, 2020 | 3 | 2020 |
Prediction of cotton yield based on soil texture, weather conditions and UAV imagery using deep learning A Feng, J Zhou, E Vories, KA Sudduth Precision Agriculture 25 (1), 303-326, 2024 | 2 | 2024 |
Developing an image processing pipeline to improve the position accuracy of single UAV images A Feng, CN Vong, J Zhou, LS Conway, J Zhou, ED Vories, KA Sudduth, ... Computers and Electronics in Agriculture 206, 107650, 2023 | 2 | 2023 |
Quantifying the effects of soil texture and weather on cotton development and yield using UAV imagery A Feng, J Zhou, ED Vories, KA Sudduth Precision Agriculture 23 (4), 1248-1275, 2022 | 2 | 2022 |
Motion parameter extraction algorithm for pigs under natural conditions A Feng, D Xiao Journal of Computer Applications 36 (10), 2900-2906, 2016 | 2 | 2016 |
Unmanned Aerial Vehicle (UAV) Applications in Cotton Production A Feng, CN Vong, J Zhou Unmanned Aerial Systems in Precision Agriculture: Technological Progresses …, 2022 | 1 | 2022 |
Neu5Gc binding loss of subtype H7 influenza A virus facilitates adaptation to gallinaceous poultry following transmission from waterbirds but restricts spillback M Guan, TJ Deliberto, A Feng, J Zhang, T Li, S Wang, L Li, ML Killian, ... bioRxiv, 2024 | | 2024 |