Search Results - "Sambandh Dhal"

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  1. 1

    Can Machine Learning classifiers be used to regulate nutrients using small training datasets for aquaponic irrigation?: A comparative analysis by Dhal, Sambandh Bhusan, Bagavathiannan, Muthukumar, Braga-Neto, Ulisses, Kalafatis, Stavros

    Published in PloS one (16-08-2022)
    “…With the recent advances in the field of alternate agriculture, there has been an ever-growing demand for aquaponics as a potential substitute for traditional…”
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    Journal Article
  2. 2

    Machine learning-based smart irrigation controller for runoff minimization in turfgrass irrigation by Dhal, Sambandh, Alvarado, Jorge, Braga-Neto, Ulisses, Wherley, Benjamin

    Published in Smart agricultural technology (01-12-2024)
    “…•Machine Learning (ML)-based Decision Support System (DSS) designed to optimize turfgrass irrigation.•It makes use of Radial Basis Function–Support Vector…”
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    Journal Article
  3. 3

    Machine learning-based analysis of nutrient and water uptake in hydroponically grown soybeans by Dhal, Sambandh Bhusan, Mahanta, Shikhadri, Moore, Janie McClurkin, Kalafatis, Stavros

    Published in Scientific reports (17-10-2024)
    “…Recent advancements in sustainable agriculture have spurred interest in hydroponics as an alternative to conventional farming methods. However, the lack of…”
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    Journal Article
  4. 4
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    A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations by Dhal, Sambandh Bhusan, Jungbluth, Kyle, Lin, Raymond, Sabahi, Seyed Pouyan, Bagavathiannan, Muthukumar, Braga-Neto, Ulisses, Kalafatis, Stavros

    Published in Sensors (Basel, Switzerland) (05-05-2022)
    “…Nutrient regulation in aquaponic environments has been a topic of research for many years. Most studies have focused on appropriate control of nutrients in an…”
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    Journal Article
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    Nutrient optimization for plant growth in Aquaponic irrigation using Machine Learning for small training datasets by Dhal, Sambandh Bhusan, Bagavathiannan, Muthukumar, Braga-Neto, Ulisses, Kalafatis, Stavros

    “…With the recent trends in urban agriculture and climate change, there is an emerging need for alternative plant culture techniques where dependence on soil can…”
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    Journal Article
  8. 8

    An IoT-Based Data-Driven Real-Time Monitoring System for Control of Heavy Metals to Ensure Optimal Lettuce Growth in Hydroponic Set-Ups by Dhal, Sambandh Bhusan, Mahanta, Shikhadri, Gumero, Jonathan, O'Sullivan, Nick, Soetan, Morayo, Louis, Julia, Gadepally, Krishna Chaitanya, Mahanta, Snehadri, Lusher, John, Kalafatis, Stavros

    Published in Sensors (Basel, Switzerland) (01-01-2023)
    “…Heavy metal concentrations that must be maintained in aquaponic environments for plant growth have been a source of concern for many decades, as they cannot be…”
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    Journal Article
  9. 9

    Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops by Dhal, Sambandh Bhusan, Kalafatis, Stavros, Braga-Neto, Ulisses, Gadepally, Krishna Chaitanya, Landivar-Scott, Jose Luis, Zhao, Lei, Nowka, Kevin, Landivar, Juan, Pal, Pankaj, Bhandari, Mahendra

    Published in Remote sensing (Basel, Switzerland) (01-06-2024)
    “…Cotton (Gossypium spp.), a crucial cash crop in the United States, requires the constant monitoring of growth parameters for informed decision-making…”
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    Journal Article
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    Modeling Sea Level Rise Using Ensemble Techniques: Impacts on Coastal Adaptation, Freshwater Ecosystems, Agriculture and Infrastructure by Dhal, Sambandh Bhusan, Singh, Rishabh, Pandey, Tushar, Dey, Sheelabhadra, Kalafatis, Stavros, Kesireddy, Vivekvardhan

    Published in Analytics (Basel) (05-07-2024)
    “…Sea level rise (SLR) is a crucial indicator of climate change, primarily driven by greenhouse gas emissions and the subsequent increase in global temperatures…”
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    Journal Article
  13. 13

    Realistic Predictors for Regression and Semantic Segmentation by Gadepally, Krishna Chaitanya, Bhusan Dhal, Sambandh, Kalafatis, Stavros, Nowka, Kevin J.

    “…Computer vision and image processing algorithms work well under strong assumptions. Computer vision algorithms are not expected to do well on all kinds of…”
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    Conference Proceeding
  14. 14

    Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Dhal, Sambandh Bhusan, Kar, Debashish

    Published in Forecasting (19-10-2024)
    “…Global food security is under significant threat from climate change, population growth, and resource scarcity. This review examines how advanced AI-driven…”
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    Journal Article
  15. 15

    Internet of Things (IoT) in digital agriculture: An overview by Dhal, Sambandh, Wyatt, Briana M., Mahanta, Shikhadri, Bhattarai, Nishan, Sharma, Sadikshya, Rout, Tapas, Saud, Pradip, Acharya, Bharat Sharma

    Published in Agronomy journal (01-05-2024)
    “…Climate change, land degradation, and limited land and water resources have challenged our ability to meet the food demand of a rapidly growing population. To…”
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    Journal Article
  16. 16

    Drones and machine learning for estimating forest carbon storage by Sharma, Sadikshya, Dhal, Sambandh, Rout, Tapas, Acharya, Bharat Sharma

    Published in Carbon Research (14-10-2022)
    “…Estimating forest carbon storage is crucial for understanding sink capacities to facilitate carbon crediting and mitigate climate change. Images captured with…”
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    Journal Article
  17. 17

    CNN-based real-time prediction of growth stage in soybeans cultivated in hydroponic set-ups by Dhal, Sambandh Bhusan, Mahanta, Shikhadri, Gadepally, Krishna Chaitanya, He, Samuel, Hughes, Mary, Moore, Janie, Nowka, Kevin J., Kalafatis, Stavros

    Published in SoutheastCon 2023 (01-04-2023)
    “…The purpose of this research is to create a deep learning model capable of predicting the day of harvest for soybeans growing in hydroponic conditions. The…”
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    Conference Proceeding
  18. 18

    A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops by Gadepally, Krishna Chaitanya, Dhal, Sambandh Bhusan, Bhandari, Mahendra, Landivar, Juan, Kalafatis, Stavros, Nowka, Kevin

    “…Cotton is an important economic crop farmed in the United States. Monitoring cotton crop growth metrics during in-season growth, from early season growth to…”
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    Conference Proceeding