Automated Asparagus Harvester Feasibility Study

The Tendertips Company (TTC) is an asparagus growing a packing business which has a problem. Not enough New Zealanders are willing to manually harvest asparagus. Samoan workers are being employed through the recognised seasonal employer (RSE) scheme which incurs a large cost to TTC. This scheme is a...

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Main Author: Lewis, Andrew Geoffrey
Language:en
Published: University of Canterbury. Engineering Management 2013
Subjects:
Online Access:http://hdl.handle.net/10092/7442
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spelling ndltd-canterbury.ac.nz-oai-ir.canterbury.ac.nz-10092-74422015-03-30T15:29:30ZAutomated Asparagus Harvester Feasibility StudyLewis, Andrew Geoffreyasparagusfeasibilityproject managementautomationimage processingThe Tendertips Company (TTC) is an asparagus growing a packing business which has a problem. Not enough New Zealanders are willing to manually harvest asparagus. Samoan workers are being employed through the recognised seasonal employer (RSE) scheme which incurs a large cost to TTC. This scheme is also susceptible to a change in government policy at any time. Automated asparagus harvesters have been designed in the past however they inflict too much damage to asparagus plants and the paddocks in which they grow. Several research projects have also been undertaken to minimise this damage while robotically harvesting asparagus however no solutions currently exist. In this project a low-cost system was designed and constructed to determine the feasibility of selectively harvesting asparagus without inflicting damage to asparagus plants or the paddock. The most technical component in this system was identified, accurately identifying and locating asparagus spears to be harvested. A camera and lighting system, along with an asparagus data logging system was designed and tested, with the assumption that if this system succeeded, the development of an automated asparagus harvester would have a very high chance of success. The system proved that individual asparagus spears can be located accurately enough so as not to inflict damage on other spears during the harvesting process: • 96.8% of asparagus spears were located. • Average location error of 3.0mm. The measurement of the size and height of asparagus spears was not very accurate due to the lighting system, however this is expected to be fixed with a design change. A global positioning system (GPS) successfully saved the calculated size of the asparagus spear with its global location to allow for analysis of the asparagus paddocks using the Google Earth application. The cost of robotically harvesting asparagus is forecast to be much less than manual harvesting: • Manual harvesting cost $1.40 per kilogram • Forecast robotic harvesting cost $0.41 per kilogram. If one other investor was obtained to create a new business, which developed an automated asparagus harvester before harvesting asparagus in New Zealand and California, the forecast financials are: • Net present value (NPV) of $1.613 million after ten years. • Internal rate of return (IRR) of 33% after ten years. • Maximum accumulated investment from TTC of $449,000 four years after development first begins. The forecast income is through harvesting asparagus only as selling the machines or leasing the intellectual property is not viable. A guiding document was created to guide TTC with the development of an automated asparagus harvester if it aligns with their business model. The development of an automated harvester: • Is technically viable. • Will lower harvesting costs. • Will ensure all of TTC’s asparagus is harvested when required. • Will return sustainable profits to the child business that TTC should create. The project management techniques adopted in this project ensured the project was completed on the planned day of completion, while remaining on budget: • Budgeted cost of work scheduled $24,478.21 • Budgeted cost of work performed $24,027.54University of Canterbury. Engineering Management2013-02-26T03:23:28Z2013-02-26T03:23:28Z2013Electronic thesis or dissertationTexthttp://hdl.handle.net/10092/7442enNZCUCopyright Andrew Geoffrey Lewishttp://library.canterbury.ac.nz/thesis/etheses_copyright.shtml
collection NDLTD
language en
sources NDLTD
topic asparagus
feasibility
project management
automation
image processing
spellingShingle asparagus
feasibility
project management
automation
image processing
Lewis, Andrew Geoffrey
Automated Asparagus Harvester Feasibility Study
description The Tendertips Company (TTC) is an asparagus growing a packing business which has a problem. Not enough New Zealanders are willing to manually harvest asparagus. Samoan workers are being employed through the recognised seasonal employer (RSE) scheme which incurs a large cost to TTC. This scheme is also susceptible to a change in government policy at any time. Automated asparagus harvesters have been designed in the past however they inflict too much damage to asparagus plants and the paddocks in which they grow. Several research projects have also been undertaken to minimise this damage while robotically harvesting asparagus however no solutions currently exist. In this project a low-cost system was designed and constructed to determine the feasibility of selectively harvesting asparagus without inflicting damage to asparagus plants or the paddock. The most technical component in this system was identified, accurately identifying and locating asparagus spears to be harvested. A camera and lighting system, along with an asparagus data logging system was designed and tested, with the assumption that if this system succeeded, the development of an automated asparagus harvester would have a very high chance of success. The system proved that individual asparagus spears can be located accurately enough so as not to inflict damage on other spears during the harvesting process: • 96.8% of asparagus spears were located. • Average location error of 3.0mm. The measurement of the size and height of asparagus spears was not very accurate due to the lighting system, however this is expected to be fixed with a design change. A global positioning system (GPS) successfully saved the calculated size of the asparagus spear with its global location to allow for analysis of the asparagus paddocks using the Google Earth application. The cost of robotically harvesting asparagus is forecast to be much less than manual harvesting: • Manual harvesting cost $1.40 per kilogram • Forecast robotic harvesting cost $0.41 per kilogram. If one other investor was obtained to create a new business, which developed an automated asparagus harvester before harvesting asparagus in New Zealand and California, the forecast financials are: • Net present value (NPV) of $1.613 million after ten years. • Internal rate of return (IRR) of 33% after ten years. • Maximum accumulated investment from TTC of $449,000 four years after development first begins. The forecast income is through harvesting asparagus only as selling the machines or leasing the intellectual property is not viable. A guiding document was created to guide TTC with the development of an automated asparagus harvester if it aligns with their business model. The development of an automated harvester: • Is technically viable. • Will lower harvesting costs. • Will ensure all of TTC’s asparagus is harvested when required. • Will return sustainable profits to the child business that TTC should create. The project management techniques adopted in this project ensured the project was completed on the planned day of completion, while remaining on budget: • Budgeted cost of work scheduled $24,478.21 • Budgeted cost of work performed $24,027.54
author Lewis, Andrew Geoffrey
author_facet Lewis, Andrew Geoffrey
author_sort Lewis, Andrew Geoffrey
title Automated Asparagus Harvester Feasibility Study
title_short Automated Asparagus Harvester Feasibility Study
title_full Automated Asparagus Harvester Feasibility Study
title_fullStr Automated Asparagus Harvester Feasibility Study
title_full_unstemmed Automated Asparagus Harvester Feasibility Study
title_sort automated asparagus harvester feasibility study
publisher University of Canterbury. Engineering Management
publishDate 2013
url http://hdl.handle.net/10092/7442
work_keys_str_mv AT lewisandrewgeoffrey automatedasparagusharvesterfeasibilitystudy
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