Mahendra Bhandari

16 papers C 1Misc 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Estimating sugarcane yield and its components using unoccupied aerial systems (UAS)-based high throughput phenotyping (HTP).
Comput. Electron. Agric.
Ittipon Khuimphukhieo, Mahendra Bhandari, Juan Enciso, Jorge A. da Silva
2025 — conf
Hardware Prototype and System Apparatus of an Autonomous Robotic Harvesting Cell.
UR
Neha Vemula, Dugan Um, Mahendra Bhandari, Kiju Lee
2025 — conf
Low-Cost, Compact Mobile Robot for Autonomous Soil Monitoring in Crop Fields.
UR
Shrikrishna Gad, Muthukumar Bagavathiannan, Mahendra Bhandari, John Cason, Robert G. Hardin, Juan Landivar, Kiju Lee
2025 J jnl
Satellite vs uncrewed aircraft systems (UAS): Combining high-resolution SkySat and UAS images for cotton yield estimation.
Comput. Electron. Agric.
Benjamin Ghansah, Jose Luis Landivar-Scott, Lei Zhao, Michael J. Starek, Jamie L. Foster, Juan Landivar-Bowles, Mahendra Bhandari
2025 J jnl
Unmanned aerial system and machine learning driven Digital-Twin framework for in-season cotton growth forecasting.
Comput. Electron. Agric.
Pankaj Pal, Juan Landivar-Bowles, Jose Luis Landivar-Scott, Nick Duffield, Kevin J. Nowka, Jinha Jung, Anjin Chang, Kiju Lee, Lei Zhao, Mahendra Bhandari
2024 J jnl
Assessing Drought Stress of Sugarcane Cultivars Using Unmanned Vehicle System (UAS)-Based Vegetation Indices and Physiological Parameters.
Remote. Sens.
Ittipon Khuimphukhieo, Mahendra Bhandari, Juan Enciso, Jorge A. da Silva
2024 J jnl
Cotton Yield Prediction via UAV-Based Cotton Boll Image Segmentation Using YOLO Model and Segment Anything Model (SAM).
Remote. Sens.
Janvita Reddy Peddagudreddygari, Haoyu Niu, Jose Luis Landivar-Scott, Mahendra Bhandari, Juan A. Landivar, Craig W. Bednarz, Nick Duffield
2024 J jnl
Cotton yield prediction utilizing unmanned aerial vehicles (UAV) and Bayesian neural networks.
Comput. Electron. Agric.
Lei Zhao, Dugan Um, Kevin J. Nowka, Jose Luis Landivar-Scott, Juan Landivar, Mahendra Bhandari
2024 J jnl
In-Season Cotton Yield Prediction with Scale-Aware Convolutional Neural Network Models and Unmanned Aerial Vehicle RGB Imagery.
Sensors
Haoyu Niu, Janvita Reddy Peddagudreddygari, Mahendra Bhandari, Juan A. Landivar, Craig W. Bednarz, Nick Duffield
2024 J jnl
Techniques for Canopy to Organ Level Plant Feature Extraction via Remote and Proximal Sensing: A Survey and Experiments.
Remote. Sens.
Prasad Nethala, Dugan Um, Neha Vemula, Oscar Fernandez Montero, Kiju Lee, Mahendra Bhandari
2024 J jnl
Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops.
Remote. Sens.
Sambandh Bhusan Dhal, Stavros Kalafatis, Ulisses Braga-Neto, Krishna Chaitanya Gadepally, Jose Luis Landivar-Scott, Lei Zhao, Kevin J. Nowka, Juan Landivar, Pankaj Pal, Mahendra Bhandari
2024 C conf
Utilizing UAS-Lidar for High Throughput Phenotyping of Energy Cane.
IGARSS
Benjamin Ghansah, Ittipon Khuimphukhieo, Jose Luis Landivar-Scott, Mahendra Bhandari, Michael J. Starek, Jamie L. Foster, Jorge A. da Silva, Hua Li
2023 Misc conf
A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops.
CISS
Krishna Chaitanya Gadepally, Sambandh Bhusan Dhal, Mahendra Bhandari, Juan Landivar, Stavros Kalafatis, Kevin J. Nowka
2021 J jnl
Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping.
Remote. Sens.
Mahendra Bhandari, Shannon Baker, Jackie C. Rudd, Amir M. H. Ibrahim, Anjin Chang, Qingwu Xue, Jinha Jung, Juan Landivar, Brent Auvermann
2020 J jnl
All Data Inclusive, Deep Learning Models to Predict Critical Events in the Medical Information Mart for Intensive Care III Database (MIMIC III).
CoRR
Anubhav Reddy Nallabasannagari, Madhu Reddiboina, Ryan Seltzer, Trevor Zeffiro, Ajay Sharma, Mahendra Bhandari
2020 J jnl
Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV).
Comput. Electron. Agric.
Mahendra Bhandari, Amir M. H. Ibrahim, Qingwu Xue, Jinha Jung, Anjin Chang, Jackie C. Rudd, Murilo M. Maeda, Nithya Rajan, Haly Neely, Juan Landivar