Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV). - Mahendra Bhandari; Amir M. H. Ibrahim; Qingwu Xue; Jinha Jung; Anjin Chang; Jackie C. Rudd; Murilo M. Maeda; Nithya Rajan; Haly Neely; Juan Landivar 001 (Comput. Electron. Agric., 2020)

All Data Inclusive, Deep Learning Models to Predict Critical Events in the Medical Information Mart for Intensive Care III Database (MIMIC III). - Anubhav Reddy Nallabasannagari; Madhu Reddiboina; Ryan Seltzer; Trevor Zeffiro; Ajay Sharma; Mahendra Bhandari (CoRR, 2020)

Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping. - Mahendra Bhandari; Shannon Baker; Jackie C. Rudd; Amir M. H. Ibrahim; Anjin Chang; Qingwu Xue; Jinha Jung; Juan Landivar 001; Brent Auvermann (Remote. Sens., 2021)

A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops. - Krishna Chaitanya Gadepally; Sambandh Bhusan Dhal; Mahendra Bhandari; Juan Landivar 001; Stavros Kalafatis; Kevin J. Nowka (CISS, 2023)

Utilizing UAS-Lidar for High Throughput Phenotyping of Energy Cane. - Benjamin Ghansah; Ittipon Khuimphukhieo; Jose Luis Landivar-Scott; Mahendra Bhandari; Michael J. Starek; Jamie L. Foster; Jorge A. da Silva; Hua Li (IGARSS, 2024)

Cotton yield prediction utilizing unmanned aerial vehicles (UAV) and Bayesian neural networks. - Lei Zhao 014; Dugan Um; Kevin J. Nowka; Jose Luis Landivar-Scott; Juan Landivar 001; Mahendra Bhandari (Comput. Electron. Agric., 2024)

Techniques for Canopy to Organ Level Plant Feature Extraction via Remote and Proximal Sensing: A Survey and Experiments. - Prasad Nethala; Dugan Um; Neha Vemula; Oscar Fernandez Montero; Kiju Lee; Mahendra Bhandari (Remote. Sens., 2024)

Cotton Yield Prediction via UAV-Based Cotton Boll Image Segmentation Using YOLO Model and Segment Anything Model (SAM). - Janvita Reddy Peddagudreddygari; Haoyu Niu; Jose Luis Landivar-Scott; Mahendra Bhandari; Juan A. Landivar 001; Craig W. Bednarz; Nick Duffield (Remote. Sens., 2024)

Assessing Drought Stress of Sugarcane Cultivars Using Unmanned Vehicle System (UAS)-Based Vegetation Indices and Physiological Parameters. - Ittipon Khuimphukhieo; Mahendra Bhandari; Juan Enciso; Jorge A. da Silva (Remote. Sens., 2024)

In-Season Cotton Yield Prediction with Scale-Aware Convolutional Neural Network Models and Unmanned Aerial Vehicle RGB Imagery. - Haoyu Niu; Janvita Reddy Peddagudreddygari; Mahendra Bhandari; Juan A. Landivar 001; Craig W. Bednarz; Nick Duffield (Sensors, 2024)

Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops. - Sambandh Bhusan Dhal; Stavros Kalafatis; Ulisses Braga-Neto; Krishna Chaitanya Gadepally; Jose Luis Landivar-Scott; Lei Zhao 014; Kevin J. Nowka; Juan Landivar 001; Pankaj Pal; Mahendra Bhandari (Remote. Sens., 2024)

Low-Cost, Compact Mobile Robot for Autonomous Soil Monitoring in Crop Fields. - Shrikrishna Gad; Muthukumar Bagavathiannan; Mahendra Bhandari; John Cason; Robert G. Hardin; Juan Landivar 001; Kiju Lee (UR, 2025)

Hardware Prototype and System Apparatus of an Autonomous Robotic Harvesting Cell. - Neha Vemula; Dugan Um; Mahendra Bhandari; Kiju Lee (UR, 2025)

Satellite vs uncrewed aircraft systems (UAS): Combining high-resolution SkySat and UAS images for cotton yield estimation. - Benjamin Ghansah; Jose Luis Landivar-Scott; Lei Zhao 014; Michael J. Starek; Jamie L. Foster; Juan Landivar-Bowles 001; Mahendra Bhandari (Comput. Electron. Agric., 2025)

Estimating sugarcane yield and its components using unoccupied aerial systems (UAS)-based high throughput phenotyping (HTP). - Ittipon Khuimphukhieo; Mahendra Bhandari; Juan Enciso; Jorge A. da Silva (Comput. Electron. Agric., 2025)

Unmanned aerial system and machine learning driven Digital-Twin framework for in-season cotton growth forecasting. - Pankaj Pal; Juan Landivar-Bowles 001; Jose Luis Landivar-Scott; Nick Duffield; Kevin J. Nowka; Jinha Jung; Anjin Chang; Kiju Lee; Lei Zhao 014; Mahendra Bhandari (Comput. Electron. Agric., 2025)