| Nutrient optimization for plant growth in Aquaponic irrigation using machine learning for small training datasets SB Dhal, M Bagavathiannan, U Braga-Neto, S Kalafatis Artificial Intelligence in Agriculture 6, 68-76, 2022 | 56 | 2022 |
| A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations SB Dhal, K Jungbluth, R Lin, SP Sabahi, M Bagavathiannan, ... Sensors, 2022 | 51 | 2022 |
| An IoT-based data-driven real-time monitoring system for control of heavy metals to ensure optimal lettuce growth in hydroponic set-ups SB Dhal, S Mahanta, J Gumero, N O’Sullivan, M Soetan, J Louis, ... Sensors 23 (1), 451, 2023 | 26 | 2023 |
| Internet of Things (IoT) in Digital Agriculture: An Overview S Dhal, B Wyatt, S Mahanta, N Bhattarai, S Sharma, T Rout, P Saud, ... Agronomy Journal, 2023 | 23 | 2023 |
| Can Machine Learning classifiers be used to regulate nutrients using small training datasets for aquaponic irrigation?: A comparative analysis Sambandh Bhusan Dhal, Muthukumar Bagavathiannan, Ulisses Braga-Neto, Stavros ... PLoS ONE 17 (8), 2022 | 20 | 2022 |
| Drones and machine learning for estimating forest carbon storage S Sharma, S Dhal, T Rout, BS Acharya Carbon Research 1 (1), 21, 2022 | 17 | 2022 |
| Solar powered mobile power bank systems SB Dhal, A Agarwal, K Agarwal American Journal of Electrical and Electronic Engineering 4 (5), 148-151, 2016 | 17 | 2016 |
| CNN-based real-time prediction of growth stage in soybeans cultivated in hydroponic set-ups SB Dhal, S Mahanta, KC Gadepally, S He, M Hughes, J Moore, KJ Nowka, ... SoutheastCon 2023, 193-197, 2023 | 10 | 2023 |
| Cotton crop disease detection on remotely collected aerial images with deep learning Q Qian, K Yu, PK Yadav, S Dhal, S Kalafatis, JA Thomasson, ... Autonomous Air and Ground Sensing Systems for Agricultural Optimization and …, 2022 | 8 | 2022 |
| Testing the performance of LSTM and ARIMA models for in-season forecasting of canopy cover (CC) in cotton crops SB Dhal, S Kalafatis, U Braga-Neto, KC Gadepally, JL Landivar-Scott, ... Remote Sensing 16 (11), 1906, 2024 | 6 | 2024 |
| Leveraging artificial intelligence and advanced food processing techniques for enhanced food safety, quality, and security: a comprehensive review SB Dhal, D Kar Discover Applied Sciences 7 (1), 1-46, 2025 | 5 | 2025 |
| Smart Electronic travel stick for the visually challenged SB Dhal, A Agarwal, K Agarwal American Journal of Electrical and Electronic Engineering (IJEEE) 4 (6), 177-181, 2016 | 5 | 2016 |
| Stem rot of pearl millet prevalence, symptomatology, disease cycle, disease rating scale and pathogen characterization in pearl millet-Klebsiella pathosystem VK Malik, P Sangwan, M Singh, P Kumari, N Shoeran, N Ahalawat, ... The Plant Pathology Journal 40 (1), 48, 2024 | 4 | 2024 |
| A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops KC Gadepally, SB Dhal, M Bhandari, J Landivar, S Kalafatis, K Nowka 2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-4, 2023 | 4 | 2023 |
| Machine learning-based smart irrigation controller for runoff minimization in turfgrass irrigation S Dhal, J Alvarado, U Braga-Neto, B Wherley Smart Agricultural Technology 9, 100569, 2024 | 2 | 2024 |
| Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization SB Dhal, D Kar MDPI Forecasting 6 (INL/JOU-24-81560-Rev000), 2024 | 2 | 2024 |
| Machine learning-based analysis of nutrient and water uptake in hydroponically grown soybeans SB Dhal, S Mahanta, JMC Moore, S Kalafatis Scientific Reports 14 (1), 24337, 2024 | 2 | 2024 |
| Predicting large wildfires in the Contiguous United States using deep neural networks S Dhal, S Jain, KC Gadepally, P Vijaykumar, U Braga-Neto, BH Sharma, ... Journal of Applied Remote Sensing 18 (2), 028501-028501, 2024 | 2 | 2024 |
| Machine Learning Based Models to Forecast in-Season Cotton Growth. SB Dhal, M Bhandari, KC Gadepally, BS Acharya, P Pal, JL Landivar, ... ASA, CSSA, SSSA International Annual Meeting, 2022 | 2 | 2022 |
| Artificial Intelligence in Agriculture SB Dhal, M Bagavathiannan, U Braga-Neto, S Kalafatis | 2 | 2022 |
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