Hasil Pencarian - Sambandh Bhusan 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.

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

    Diterbitkan 2022-01-01
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  2. 2
    Nutrient optimization for plant growth in Aquaponic irrigation using Machine Learning for small training datasets

    Nutrient optimization for plant growth in Aquaponic irrigation using Machine Learning for small training datasets oleh Sambandh Bhusan Dhal, Muthukumar Bagavathiannan, Ulisses Braga-Neto, Stavros Kalafatis

    Diterbitkan 2022-01-01
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  3. 3
    Machine learning-based analysis of nutrient and water uptake in hydroponically grown soybeans

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

    Diterbitkan 2024-10-01
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  4. 4
    Modeling Sea Level Rise Using Ensemble Techniques: Impacts on Coastal Adaptation, Freshwater Ecosystems, Agriculture and Infrastructure

    Modeling Sea Level Rise Using Ensemble Techniques: Impacts on Coastal Adaptation, Freshwater Ecosystems, Agriculture and Infrastructure oleh Sambandh Bhusan Dhal, Rishabh Singh, Tushar Pandey, Sheelabhadra Dey, Stavros Kalafatis, Vivekvardhan Kesireddy

    Diterbitkan 2024-07-01
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  5. 5
    A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations

    A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations oleh Sambandh Bhusan Dhal, Kyle Jungbluth, Raymond Lin, Seyed Pouyan Sabahi, Muthukumar Bagavathiannan, Ulisses Braga-Neto, Stavros Kalafatis

    Diterbitkan 2022-05-01
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  6. 6
    An IoT-Based Data-Driven Real-Time Monitoring System for Control of Heavy Metals to Ensure Optimal Lettuce Growth in Hydroponic Set-Ups

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

    Diterbitkan 2023-01-01
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  7. 7
    Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops

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

    Diterbitkan 2024-05-01
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