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Development of Ground Surface Detection System using Microwave Radar Technology for use with Mechanical Wild Blueberry Harvesting
Authors: Muhammad Saad, Qamar Zaman, Travis Esau, Aitazaz Farooque, Arnold Schumann
Identifier: CSBE21458
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Published in: CSBE-SCGAB Technical Conferences » 5th CIGR and AGM Quebec City 2021 » Regular Sessions
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Description: Wild blueberries (Vaccinium angustifolium Ait.) is a low shrub fruit crop native to northeastern North America. Mechanical harvesting has been proven as the most cost-effective method for picking wild blueberries. Harvest efficiency for wild blueberry mechanical harvesters depends on the operator?s skill and full automation of picking heads relies on the accurate and precise determination of berry picking height. Spatial variation in wild blueberry fields creates a serious challenge for the operators to maintain the optimum head height for harvester operation. Variation in plant density throughout the crop fields requires a non-destructive foliage penetration ground detection technique to automate the harvester head height for optimum berry picking operation and to reduce operator stress. The aim of this research is to develop a ground surface detection system using microwave radar technology. Three radar sensors operating at different frequency range selected for this study were; i) Walabot Developer Model (3.3-10 GHz), ii) Acconeer A111 (60 GHz), and iii) Terrahawk HT5230 (1.5-6.5 GHz). Radar sensors coupled with a laptop featuring customized software will be mounted on a specialized farm motorized vehicle and evaluated in both lab and field conditions. Statistical analysis will be performed to correlate the output of sensors with manually measured ground surface height. The expected outcome of this research is the ability to remotely detect the ground surface in wild blueberry fields, which will be the basis for automation of the mechanical picking head for the wild blueberry harvester.
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Date: 2021-06-11
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Conference name: 5th CIGR International Conference and CSBE-SCGAB AGM 2021, Quebec City,QC, 11-14 May 2021.
Session name: Machinery and Robotic Systems 3
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Type: Text.Abstract
Format:
Publication type: Presentation
Source:
Relation:
Coverage: Canada
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
Notes:
Other files:
DOI:
Description: Wild blueberries (Vaccinium angustifolium Ait.) is a low shrub fruit crop native to northeastern North America. Mechanical harvesting has been proven as the most cost-effective method for picking wild blueberries. Harvest efficiency for wild blueberry mechanical harvesters depends on the operator?s skill and full automation of picking heads relies on the accurate and precise determination of berry picking height. Spatial variation in wild blueberry fields creates a serious challenge for the operators to maintain the optimum head height for harvester operation. Variation in plant density throughout the crop fields requires a non-destructive foliage penetration ground detection technique to automate the harvester head height for optimum berry picking operation and to reduce operator stress. The aim of this research is to develop a ground surface detection system using microwave radar technology. Three radar sensors operating at different frequency range selected for this study were; i) Walabot Developer Model (3.3-10 GHz), ii) Acconeer A111 (60 GHz), and iii) Terrahawk HT5230 (1.5-6.5 GHz). Radar sensors coupled with a laptop featuring customized software will be mounted on a specialized farm motorized vehicle and evaluated in both lab and field conditions. Statistical analysis will be performed to correlate the output of sensors with manually measured ground surface height. The expected outcome of this research is the ability to remotely detect the ground surface in wild blueberry fields, which will be the basis for automation of the mechanical picking head for the wild blueberry harvester.
Keywords:
Résumé:
Mots-clés:
Citation:
Volume:
Issue:
Pages -
Contributor:
Date: 2021-06-11
Technical field:
Conference name: 5th CIGR International Conference and CSBE-SCGAB AGM 2021, Quebec City,QC, 11-14 May 2021.
Session name: Machinery and Robotic Systems 3
Other information:
Type: Text.Abstract
Format:
Publication type: Presentation
Source:
Relation:
Coverage: Canada
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
Notes:
Other files:
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