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Mahendra Bhandari
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2020 – today
- 2024
- [j6]Lei Zhao, Dugan Um, Kevin J. Nowka, Jose Luis Landivar-Scott, Juan Landivar, Mahendra Bhandari:
Cotton yield prediction utilizing unmanned aerial vehicles (UAV) and Bayesian neural networks. Comput. Electron. Agric. 226: 109415 (2024) - [j5]Ittipon Khuimphukhieo
, Mahendra Bhandari, Juan Enciso
Assessing Drought Stress of Sugarcane Cultivars Using Unmanned Vehicle System (UAS)-Based Vegetation Indices and Physiological Parameters. Remote. Sens. 16(8): 1433 (2024) - [j4]Sambandh Bhusan Dhal
Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops. Remote. Sens. 16(11): 1906 (2024) - [j3]Haoyu Niu
In-Season Cotton Yield Prediction with Scale-Aware Convolutional Neural Network Models and Unmanned Aerial Vehicle RGB Imagery. Sensors 24(8): 2432 (2024) - [c2]Benjamin Ghansah, Ittipon Khuimphukhieo, Jose Luis Landivar-Scott, Mahendra Bhandari, Michael J. Starek, Jamie L. Foster, Jorge A. da Silva, Hua Li:
Utilizing UAS-Lidar for High Throughput Phenotyping of Energy Cane. IGARSS 2024: 6251-6254 - 2023
- [c1]Krishna Chaitanya Gadepally, Sambandh Bhusan Dhal, Mahendra Bhandari
A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops. CISS 2023: 1-4 - 2021
- [j2]Mahendra Bhandari
Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping. Remote. Sens. 13(6): 1144 (2021) - 2020
- [j1]Mahendra Bhandari
Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV). Comput. Electron. Agric. 176: 105665 (2020) - [i1]Anubhav Reddy Nallabasannagari, Madhu Reddiboina, Ryan Seltzer, Trevor Zeffiro, Ajay Sharma, Mahendra Bhandari:
All Data Inclusive, Deep Learning Models to Predict Critical Events in the Medical Information Mart for Intensive Care III Database (MIMIC III). CoRR abs/2009.01366 (2020)
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