Mahendra Bhandari

According to our database, Mahendra Bhandari authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Unmanned aerial system and machine learning driven Digital-Twin framework for in-season cotton growth forecasting.

Pankaj Pal, Juan Landivar-Bowles, Jose Luis Landivar-Scott, Nick Duffield, Kevin J. Nowka, Jinha Jung, Anjin Chang, Kiju Lee, Lei Zhao, 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

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, Michael J. Starek, Jamie L. Foster, Juan Landivar-Bowles, Mahendra Bhandari

Comput. Electron. Agric., 2025

Hardware Prototype and System Apparatus of an Autonomous Robotic Harvesting Cell.

Neha Vemula, Dugan Um, Mahendra Bhandari, Kiju Lee

Proceedings of the 22nd International Conference on Ubiquitous Robots, 2025

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, Kiju Lee

Proceedings of the 22nd International Conference on Ubiquitous Robots, 2025

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, Kevin J. Nowka, Juan Landivar, Pankaj Pal, Mahendra Bhandari

Remote. Sens., June, 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, Craig W. Bednarz, Nick Duffield

Sensors, April, 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., April, 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, Craig W. Bednarz, Nick Duffield

Remote. Sens., 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 utilizing unmanned aerial vehicles (UAV) and Bayesian neural networks.

Lei Zhao, Dugan Um, Kevin J. Nowka, Jose Luis Landivar-Scott, Juan Landivar, Mahendra Bhandari

Comput. Electron. Agric., 2024

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

Proceedings of the IGARSS 2024, 2024

2023

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, Stavros Kalafatis, Kevin J. Nowka

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2021

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, Brent Auvermann

Remote. Sens., 2021

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 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

Comput. Electron. Agric., 2020