Perception-enabled manipulator control for a robotic cotton picker with dual-side harvesting capability. The 8th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture, Davis, CA (8/27/2025–8/29/2025)

Generation of synthetic image data in a simulated agricultural environment using MAVS: A case study and evaluation on deep learning-based cotton boll detection. ASABE AIM, Toronto, Canada (7/13/2025–7/16/2025)

Radiometric and modified Ross-Li sparse anisotropic BRDF correction for low-altitude UAV data: Modeling reflectance under varying solar-sensor geometries for time-series studies. SPIE DS303, Orlando, FL (4/13/2025–4/17/2025)

A survey on 3D reconstruction techniques in plant phenotyping: From classical methods to neural radiance fields (NeRF), 3D Gaussian splatting (3DGS), and beyond. SPIE DS303, Orlando, FL (4/13/2025–4/17/2025)

Cotton-SAM: AI-driven cotton boll localization for autonomous picking using YOLO and SAM integration. AI in Agriculture and Natural Resources Conference, Starkville, MS (3/31/2025–4/2/2025)

Introduction to the MAVS and its potential for the development of agricultural autonomous and AI systems. AI in Agriculture and Natural Resources Conference, Starkville, MS (3/31/2025–4/2/2025)

Advancing SLAM in agriculture: A comparative study of NeRF and traditional approaches. AI in Agriculture and Natural Resources Conference, Starkville, MS (3/31/2025–4/2/2025)

Utilizing generative adversarial networks (GANs) to create realistic synthetic imagery datasets of caneberries. AI in Agriculture and Natural Resources Conference, Starkville, MS (3/31/2025–4/2/2025)

A new framework for agricultural field boundary extraction based on the Segment Anything Model and Sentinel-2 imagery. AI in Agriculture and Natural Resources Conference, Starkville, MS (3/31/2025–4/2/2025)

Cotton boll localization system to enable autonomous cotton-picking using YOLO and SAM. Graduate Student Research Symposium, Mississippi State, MS (10/5/2024)

Survey of Artificial Intelligence in Agriculture. Summer Undergraduate Research Showcase, Mississippi State, MS (8/2/2024) [link]

Computer vision-enabled autonomous robotic navigation system for cotton farms in Gazebo simulation environment. ASABE AIM, Anaheim, CA (7/28/2024–7/31/2024)

Development of a cotton boll detection system to enhance autonomous picking using YOLOv8 and SAM. ASABE AIM, Anaheim, CA (7/28/2024–7/31/2024)

Conv1D-BiLSTM-attention model: Crop yield prediction via time-series adaptive semantic segmentation on UAS-based spatio-spectral fusion data. ASABE AIM, Anaheim, CA (7/28/2024–7/31/2024)

Estimation of root phenotypic traits through computer vision and deep learning: A case study on soybean. ASABE AIM, Anaheim, CA (7/28/2024–7/31/2024)

Synergistic approach for drought classification of beans: Harnessing the potential of multisource datasets using machine learning. ASABE AIM, Anaheim, CA (7/28/2024–7/31/2024)

Non-invasive detection and quantification of skinning damage in sweetpotatoes using enhanced yolov8-seg model. ASABE AIM, Anaheim, CA (7/28/2024–7/31/2024)

Predictive performance of portable and bench top infrared spectrometers for macro and micronutrient estimations in fresh and dry leaf tissues. ASABE AIM, Anaheim, CA (7/28/2024–7/31/2024)

Characterization of capacitive sensors for in-flow cotton moisture sensing. ASABE AIM, Anaheim, CA (7/28/2024–7/31/2024)

Collaborative Research: NRI: Perception-aware soft robot manipulation and bipedal locomotion for fresh market caneberry harvesting. 2024 NSF FRR/NRI PI Meeting, Baltimore, MD (4/28/2024–4/30/2024)

Nitrogen status monitoring of potato crops using drone-based multispectral imaging. Summer Undergraduate Research Showcase, Mississippi State, MS (8/2/2023)

Assessment of drought and non-stress bean crops using high-throughput (HTP) phenotyping and agronomic data. Summer Undergraduate Research Showcase, Mississippi State, MS (8/2/2023)

Catfish cutting automation through computer vision and deep learning. Mississippi Academy of Sciences (MAS) 5th Summer Science & Engineering Symposium, Mississippi State, MS (7/25/2023)

Identification of microbially spoiled broiler breast meat through optical sensing and deep learning. Mississippi Academy of Sciences (MAS) 5th Summer Science & Engineering Symposium, Mississippi State, MS (7/25/2023)

Root phenotyping and traits characterization through computer vision and deep learning. Mississippi Academy of Sciences (MAS) 5th Summer Science & Engineering Symposium, Mississippi State, MS (7/25/2023)

Development of an automated singulation system for catfish fillets. ASABE AIM, Omaha, NE (7/9/2023–7/15/2023)

Estimation of macro and micronutrients in plant leaf tissues using portable and bench-top spectrometers and comparison of the prediction performances. ASABE AIM, Omaha, NE (7/9/2023–7/15/2023)

Automating catfish cutting process using deep learning-based semantic segmentation. SPIE DCS216, Orlando, FL (4/30/2023–5/4/2023) [link]

Singulation and orientation detection of catfish fillets using computer vision. SPIE DCS216, Orlando, FL (4/30/2023–5/4/2023) [link]

DeepSORT-YOLOv3: Robust on-the-go grape bunch video tracking for yield estimation throughout the growth season. ASABE AIM, Houston, TX (7/17/2022–7/20/2022)

Almond bloom mapping at the tree level for early yield forecasting. ASABE AIM, Houston, TX (7/17/2022–7/20/2022)

Smartphone-app for crop load estimation and lag phase detection in wine grapes. 15th International Conference on Precision Agriculture (ICPA), Minneapolis, MN, USA (6/2022)

UAV-based orchard 3D mapping and estimation of photosynthetically active radiation (PAR) for almond potential yield forecasting. ASABE AIM, virtual online (7/2021)

Crop load estimation in wine grapes using software application based on deep learning algorithms for object detection. ASABE AIM, virtual online (7/2021)

UAV-based orchard 3D mapping and estimation of photosynthetically active radiation (PAR) and bloom density for almond potential yield forecasting. UC Davis 6th Postdoctoral Research Symposium, Davis, CA, USA (3/2021)

Canopy segmentation using ResNet for mechanical harvesting of apples. The 6th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture, Sydney, Australia (12/2019)

Effect of shaking amplitude and capturing height on mechanical harvesting of fresh market apples. The 6th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture, Sydney, Australia (12/2019)

Field evaluation of targeted shake-and-catch harvesting technologies for fresh market apple. ASABE AIM, Boston, MA, USA (7/2019)

Field evaluation of vibratory mechanical harvesting of cider apples: Fruit removal and harvest efficiencies. WA Tree Fruit Association Research News Flash, Yakima, WA, USA (12/2018)

Field evaluation of data-based pruning severity levels (PSLs) on mechanical harvesting of apples. The 6th IFAC Conference on Bio-Robotics, Beijing, China (7/2018)

Integration and interaction of canopy and mechanical parameters for vibratory harvesting of apple trees. ASABE AIM, Detroit, MI, USA (7/2018)

A precision pruning strategy for improving efficiency of vibratory apple harvesting. GPSA Research Exposition Event, Pullman, WA, USA (3/2018)

A precision pruning strategy for improving efficiency of vibratory apple harvesting system. ASABE AIM, Spokane, WA, USA (7/2017)

The comprehensive performance of north wall in Chinese greenhouse evaluation model and application based on weighted entropy method. The 18th World Congress of CIGR, Beijing, China (9/2014)

Preparation of a novel composite phase change material (PCM) for energy storage in greenhouse. The 18th World Congress of CIGR, Beijing, China (9/2014)