Publications:
1. Dhal, Sambandh Bhusan, and Kar, D. Leveraging artificial intelligence and advanced food processing techniques for enhanced food safety, quality, and security: a comprehensive review. Discov Appl Sci 7, 75 (2025). https://doi.org/10.1007/s42452-025-06472-w
2. Dhal, Sambandh Bhusan, Shikhadri Mahanta, Janie McClurkin Moore, and Stavros Kalafatis. "Machine learning-based analysis of nutrient and water uptake in hydroponically grown soybeans." Scientific Reports 14, no. 1 (2024): 24337.
3. Dhal, Sambandh, Jorge Alvarado, Ulisses Braga-Neto, and Benjamin Wherley. "Machine learning-based smart irrigation controller for runoff minimization in turfgrass irrigation." Smart Agricultural Technology 9 (2024): 100569.
4. Dhal, Sambandh Bhusan, and Debashish Kar. "Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization." MDPI Forecasting 6, no. INL/JOU-24-81560-Rev000 (2024).
5. Vinod Kumar Malik, Pooja Sangwan, Manjeet Singh, Pavitra Kumari, Niharika Shoeran, Navjeet Ahalawat, Mukesh Kumar, Harsh Deep, Kamla Malik, Preety Verma, Pankaj Yadav, Sheetal Kumari, Aakash, and Sambandh Dhal. "Stem Rot of Pearl Millet Prevalence, Symptomatology, Disease Cycle, Disease Rating Scale and Pathogen Characterization in Pearl Millet-Klebsiella Pathosystem", pp. 48-54, Plant Pathology Journal (2024).
6. Dhal, Sambandh, Shubham Jain, Krishna Chaitanya Gadepally, Prathik Vijaykumar, Ulisses Braga-Neto, Bhavesh Hariom Sharma, Bharat Sharma Acharya, Kevin Nowka, and Stavros Kalafatis. "Predicting large wildfires in the Contiguous United States using deep neural networks." Journal of Applied Remote Sensing 18, no. 2 (2024): 028501-028501.
7. Dhal, Sambandh Bhusan, Stavros Kalafatis, Ulisses Braga-Neto, Krishna Chaitanya Gadepally, Jose Luis Landivar-Scott, Lei Zhao, Kevin Nowka, Juan Landivar, Pankaj Pal, and Mahendra Bhandari. "Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops." Remote Sensing 16, no. 11 (2024): 1906.
8. Dhal, Sambandh Bhusan, Shikhadri Mahanta, Jonathan Gumero, Nick O’Sullivan, Morayo Soetan, Julia Louis, Krishna Chaitanya Gadepally, Snehadri Mahanta, John Lusher, and 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, no. 1 (2023): 451.
9. Dhal, Sambandh Bhusan, Shikhadri Mahanta, Krishna Chaitanya Gadepally, Samuel He, Mary Hughes, Janie Moore, Kevin J. Nowka, and Stavros Kalafatis. "CNN-based real-time prediction of growth stage in soybeans cultivated in hydroponic set-ups." In SoutheastCon 2023, pp. 193-197. IEEE, 2023.
10. Dhal, Sambandh, Briana Wyatt, Shikhadri Mahanta, Nishan Bhattarai, Sadikshya Sharma, Tapas Rout, Pradip Saud, and Bharat Sharma Acharya. "Internet of Things (IoT) in Digital Agriculture: An Overview." Agronomy Journal (2023).
11. Gadepally, Krishna Chaitanya, Sambandh Bhusan Dhal, Stavros Kalafatis, and Kevin Nowka. "Privacy First Path Analysis Using Clickstream Data." (2023).
12. Gadepally, Krishna Chaitanya, Sambandh Bhusan Dhal, Mahendra Bhandari, Juan Landivar, Stavros Kalafatis, and Kevin Nowka. "A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops." In 2023 57th Annual Conference on Information Sciences and Systems (CISS), pp. 1-4. IEEE, 2023.
13. Dhal, Sambandh Bhusan, Kyle Jungbluth, Raymond Lin, Seyed Pouyan Sabahi, Muthukumar Bagavathiannan, Ulisses Braga-Neto, and Stavros Kalafatis. "A machine-learning-based IoT system for optimizing nutrient supply in commercial aquaponic operations." Sensors 22, no. 9 (2022): 3510.
14. Dhal, Sambandh Bhusan, Muthukumar Bagavathiannan, Ulisses Braga-Neto, and Stavros Kalafatis. "Nutrient optimization for plant growth in Aquaponic irrigation using machine learning for small training datasets." Artificial Intelligence in Agriculture 6 (2022): 68-76.
15. Dhal, Sambandh Bhusan, Muthukumar Bagavathiannan, Ulisses Braga-Neto, and Stavros Kalafatis. "Can Machine Learning classifiers be used to regulate nutrients using small training datasets for aquaponic irrigation?: A comparative analysis." Plos one 17, no. 8 (2022): e0269401.
16. Qian, Quandong, Kevin Yu, Pappu Kumar Yadav, Sambandh Dhal, Stavros Kalafatis, J. Alex Thomasson, and Robert G. Hardin IV. "Cotton crop disease detection on remotely collected aerial images with deep learning." In Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VII, vol. 12114, pp. 23-31. SPIE, 2022.
17. Sharma, Sadikshya, Sambandh Dhal, Tapas Rout, and Bharat Sharma Acharya. "Drones and machine learning for estimating forest carbon storage." Carbon Research 1, no. 1 (2022): 21.
18. Shaktawat, Anirudh Singh, Sambandh Bhusan Dhal, Arun Agarwal, and Kabita Agarwal. "Review of Machine Learning Algorithms for Predicting Power Requirements for Unmanned Marine Vehicles." IJRECE 6, no. 3 (2018).
19. Dhal, Sambandh Bhusan, Arun Agarwal, and Kabita Agarwal. "Solar powered mobile power bank systems." American Journal of Electrical and Electronic Engineering 4, no. 5 (2016): 148-151.
20. Dhal, Sambandh Bhusan, Arun Agarwal, and Kabita Agarwal. "Smart Electronic travel stick for the visually challenged." American Journal of Electrical and Electronic Engineering (IJEEE) 4, no. 6 (2016): 177-181.
21. Dhal, Sambandh Bhusan, Arun Agarwal, and Kabita Agarwal. "Principles of Smart Car Parking Management System (With Efficient Corridor Lighting)." American Journal of Electrical and Electronic Engineering 4, no. 6 (2016): 152-156.