ShellCollect: A Framework for Smart Precision Shellfish Harvesting Using Data Collection Path Planning

Shellfish aquaculture significantly contributes to the coastal economy of the United States. However, the current primary and most productive harvesting method for on-bottom shellfish farming—dredging with tow dredges —is highly inefficient, as farmers typically tow the dredges...

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Main Authors: Chiao-Yi Wang, Guru Nandhan Appiya Dilipkumar Peethambari, Yi-Ting Shen, Wei-Yu Chen, Sandip Sharan Senthil Kumar, Alexander Long, Alan Williams, Gudjon Magnusson, Allen Pattillo, Don Webster, Matthew Gray, Miao Yu, Yang Tao
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10766580/
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author Chiao-Yi Wang
Guru Nandhan Appiya Dilipkumar Peethambari
Yi-Ting Shen
Wei-Yu Chen
Sandip Sharan Senthil Kumar
Alexander Long
Alan Williams
Gudjon Magnusson
Allen Pattillo
Don Webster
Matthew Gray
Miao Yu
Yang Tao
author_facet Chiao-Yi Wang
Guru Nandhan Appiya Dilipkumar Peethambari
Yi-Ting Shen
Wei-Yu Chen
Sandip Sharan Senthil Kumar
Alexander Long
Alan Williams
Gudjon Magnusson
Allen Pattillo
Don Webster
Matthew Gray
Miao Yu
Yang Tao
author_sort Chiao-Yi Wang
collection DOAJ
description Shellfish aquaculture significantly contributes to the coastal economy of the United States. However, the current primary and most productive harvesting method for on-bottom shellfish farming—dredging with tow dredges —is highly inefficient, as farmers typically tow the dredges blindly and randomly in their fields. To enhance efficiency, we propose ShellCollect, a smart precision shellfish harvesting framework that generates harvesting paths based on underwater oyster distributions. We formulate this problem as data collection path planning and solve it by a Variable Neighborhood Search (VNS) based approach with a novel simplification scheme called merge-and-filtering. Additionally, we introduce ShellMapSim, a dedicated simulator for designing and evaluating harvesting path-planning methods. Through simulations in ShellMapSim, we demonstrate the effectiveness of our method across diverse oyster distributions. Moreover, we conducted field tests to validate the viability of our ShellCollect framework for real-world applications. To the best of our knowledge, this work is the first to address smart precision harvesting in shellfish.
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spelling doaj.art-812b0c86909143eb82cf65db80d685a32024-12-11T00:05:06ZengIEEEIEEE Access2169-35362024-01-011217782917784310.1109/ACCESS.2024.350584910766580ShellCollect: A Framework for Smart Precision Shellfish Harvesting Using Data Collection Path PlanningChiao-Yi Wang0https://orcid.org/0000-0002-5481-8911Guru Nandhan Appiya Dilipkumar Peethambari1Yi-Ting Shen2https://orcid.org/0000-0002-1167-5535Wei-Yu Chen3Sandip Sharan Senthil Kumar4Alexander Long5Alan Williams6https://orcid.org/0000-0002-6590-2182Gudjon Magnusson7Allen Pattillo8Don Webster9Matthew Gray10Miao Yu11https://orcid.org/0000-0003-4180-5094Yang Tao12https://orcid.org/0000-0002-8080-1849Department of Bioengineering, University of Maryland, College Park, MD, USAA. James Clark, School of Engineering, Maryland Applied Graduate Engineering, University of Maryland, College Park, MD, USADepartment of Electrical and Computer Engineering, University of Maryland, College Park, MD, USADepartment of Bioengineering, University of Maryland, College Park, MD, USAA. James Clark, School of Engineering, Maryland Applied Graduate Engineering, University of Maryland, College Park, MD, USADepartment of Bioengineering, University of Maryland, College Park, MD, USAHorn Point Laboratory, University of Maryland Center for Environmental Science, Cambridge, MD, USAFraunhofer USA Center Mid-Atlantic, Riverdale, MD, USAResearch and Education Center, University of Maryland Extension, Queenstown, MD, USAResearch and Education Center, University of Maryland Extension, Queenstown, MD, USAHorn Point Laboratory, University of Maryland Center for Environmental Science, Cambridge, MD, USADepartment of Mechanical Engineering, University of Maryland, College Park, MD, USADepartment of Bioengineering, University of Maryland, College Park, MD, USAShellfish aquaculture significantly contributes to the coastal economy of the United States. However, the current primary and most productive harvesting method for on-bottom shellfish farming—dredging with tow dredges —is highly inefficient, as farmers typically tow the dredges blindly and randomly in their fields. To enhance efficiency, we propose ShellCollect, a smart precision shellfish harvesting framework that generates harvesting paths based on underwater oyster distributions. We formulate this problem as data collection path planning and solve it by a Variable Neighborhood Search (VNS) based approach with a novel simplification scheme called merge-and-filtering. Additionally, we introduce ShellMapSim, a dedicated simulator for designing and evaluating harvesting path-planning methods. Through simulations in ShellMapSim, we demonstrate the effectiveness of our method across diverse oyster distributions. Moreover, we conducted field tests to validate the viability of our ShellCollect framework for real-world applications. To the best of our knowledge, this work is the first to address smart precision harvesting in shellfish.https://ieeexplore.ieee.org/document/10766580/Shellfish aquaculturesmart precision harvestingdata collection path-planningsimulator
spellingShingle Chiao-Yi Wang
Guru Nandhan Appiya Dilipkumar Peethambari
Yi-Ting Shen
Wei-Yu Chen
Sandip Sharan Senthil Kumar
Alexander Long
Alan Williams
Gudjon Magnusson
Allen Pattillo
Don Webster
Matthew Gray
Miao Yu
Yang Tao
ShellCollect: A Framework for Smart Precision Shellfish Harvesting Using Data Collection Path Planning
IEEE Access
Shellfish aquaculture
smart precision harvesting
data collection path-planning
simulator
title ShellCollect: A Framework for Smart Precision Shellfish Harvesting Using Data Collection Path Planning
title_full ShellCollect: A Framework for Smart Precision Shellfish Harvesting Using Data Collection Path Planning
title_fullStr ShellCollect: A Framework for Smart Precision Shellfish Harvesting Using Data Collection Path Planning
title_full_unstemmed ShellCollect: A Framework for Smart Precision Shellfish Harvesting Using Data Collection Path Planning
title_short ShellCollect: A Framework for Smart Precision Shellfish Harvesting Using Data Collection Path Planning
title_sort shellcollect a framework for smart precision shellfish harvesting using data collection path planning
topic Shellfish aquaculture
smart precision harvesting
data collection path-planning
simulator
url https://ieeexplore.ieee.org/document/10766580/
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