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ORCIDSambandh Bhusan Dhal
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Journal Articles
- 2024
[j3]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:
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)- 2023
- [j2]Sambandh Bhusan Dhal, Shikhadri Mahanta, Jonathan Gumero, Nick O'Sullivan, Morayo Soetan, Julia Louis, Krishna Chaitanya Gadepally, Snehadri Mahanta, John Lusher, Stavros Kalafatis:
An IoT-Based Data-Driven Real-Time Monitoring System for Control of Heavy Metals to Ensure Optimal Lettuce Growth in Hydroponic Set-Ups. Sensors 23(1): 451 (2023) - 2022
- [j1]Sambandh Bhusan Dhal, Kyle Jungbluth, Raymond Lin, Seyed Pouyan Sabahi, Muthukumar Bagavathiannan, Ulisses Braga-Neto, Stavros Kalafatis:
A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations. Sensors 22(9): 3510 (2022)
Conference and Workshop Papers
- 2023
- [c2]Krishna Chaitanya Gadepally, Sambandh Bhusan Dhal, Mahendra Bhandari, Juan Landivar, Stavros Kalafatis, Kevin J. Nowka:
A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops. CISS 2023: 1-4 - [c1]Krishna Chaitanya Gadepally, Sambandh Bhusan Dhal, Stavros Kalafatis, Kevin J. Nowka:
Realistic Predictors for Regression and Semantic Segmentation. SERA 2023: 153-155
Coauthor Index
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