Performance and Economic Analysis of a Selective Asparagus Harvester

Clary, Carter D.; Ball, Trent; Ward, E. W. B.; Fuchs, Sam J.; Durfey, J. E.; Cavalieri, Ralph P.; Folwell, Raymond J.

doi:10.13031/2013.23665

Cited by 12 publications

(5 citation statements)

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“…He concluded that a robotic harvester could be economically feasible for crops with a long harvest season, such as controlled environment tomatoes. Arndt et al (1997) and Clary et al (2007) concentrated on identifying the percentage of potentially harvestable asparagus spears that must be harvested with automation to breakeven with manual harvest. Arndt et al (1997) showed that even with grade No.…”

Section: Automated But Not Autonomousmentioning

confidence: 99%

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Economics of robots and automation in field crop production

et al. 2019

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This study reviewed research published after 1990 on the economics of agricultural mechatronic automation and robotics, and identified research gaps. A systematic search was conducted from the following databases: ScienceDirect, Business Source Complete, Wiley, Emerald, CAB Abstract, Greenfile, Food Science Source and AgEcon Search. This identified 4817 documents. The screening of abstracts narrowed the range to a dataset of 119 full text documents. After eligibility assessment, 18 studies were subjected to a qualitative analysis, with ten focused on automation of specific horticultural operations and eight related to autonomous agricultural equipment. All of the studies found some scenarios in which automation and robotic technologies were profitable. Most studies employed partial budgeting considering only costs and revenues directly changed by the introduction of automation or robotics and assuming everything else constant. None examined cropping system changes, or regional and national impacts on markets, trade and labour demand. The review identified a need for in-depth research on the economic implications of the technology. Most of the studies reviewed estimated economic implications assuming that technology design parameters were achieved and/or based on data from prototypes. Data are needed on the benefits and problems with using automation and robotics on farm. All of the studies reviewed were in the context of agriculture in developed countries, but many of the world's most pressing agricultural problems are in the developing world. Economic and social research is needed to understand those developing country problems, and guide the engineers and scientists creating automation and robotic solutions.

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Section: Automated But Not Autonomousmentioning

confidence: 99%

“…2 at 15%, the harvester provided a return over harvest costs. Clary et al (2007) found that harvester would be economically successful if the harvest percentage were 70-80% of hand harvest. Cembali et al (2008) focused on changes in the harvest interval with automation.…”

Section: Automated But Not Autonomousmentioning

confidence: 99%

Economics of robots and automation in field crop production

et al. 2019

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“…The approach would ensure that long spears would be cut while crown damage would be minimized. Regardless of the production systems (green or white asparagus), harvesting robots need to be fast, inexpensive, produce little losses, and be gentle with the spears being handled ( Clary et al., 2007 ).…”

Section: Future Needs For Asparagus—challenges and Changesmentioning

confidence: 99%

Asparagus breeding: Future research needs for sustainable production

Drost

2023

Front. Plant Sci.

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Productivity in asparagus (Asparagus officinalis L.) is determined in part by (1) the selection of superior, adaptive genetics, (2) matching the selected genetics to the production environment, and (3) managing the crop production system in ways to maximize harvest potential that are sustainable, profitable, and efficient. Over the last 100 years, a considerable effort by asparagus researchers has gone into breeding superior genetic lines, testing those in numerous locations, and studying how asparagus responds to a multitude of inputs (fertilizers, irrigation, fungicides, herbicides, insecticides). Farmers worldwide have benefited from all of these improvements. However, as we look to the future, we need to change our research approaches to deal with widely accepted limitations to asparagus growth that if left unanswered will further erode the long-term sustainability and profitability of the crop. In addition, there is a growing need for increased mechanization to offset labor needs. To effectively harvest asparagus, new plant types with more predictable spear emergence patterns need to be bred. This paper will briefly review the historic content of asparagus research and open a discussion on how to refocus international research efforts to breed superior plant materials to meet the challenges of the future.

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“…In the spring of 2006, the Geiger-Lund harvester underwent field trials in the USA. Clary et al [10] performed an economic analysis of the harvester based on the results of these trials . The researchers reported that the Geiger-Lund harvester was able to harvest up to 70% of the harvestable spears per row.…”

Section: Tactile and Photoelectric Sensorsmentioning

confidence: 99%

Overview of Sensor Technologies Used for 3D Localization of Asparagus Spears for Robotic Harvesting

Peebles

Lim

Duke

et al. 2018

AMM

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Advances in agricultural automation, coupled with a general decline of available labour hasgenerated interest in automated harvesting of various crops. Paramount to the success of such systemsis the development of accurate, robust detection technologies and localization strategies. This paperpresents an overview of sensor technologies used in the detection and localization of green aspara-gus spears for robotic harvesting. Tactile, photoelectric, machine vision and time-of-flight sensors areinvestigated and their applicability for use in robotic asparagus harvesting is evaluated. Investigationof previous asparagus harvesting devices has revealed that no such device has yet achieved commer-cial viability. It was identified that this is likely due to weaknesses in currently employed detectiontechnologies, namely slow response times, high sensitivity to changes in ambient lighting conditionsand requirement for frequent manual calibration. Of the sensor technologies investigated it was foundthat time-of-flight cameras, such as the Microsoft Kinect V2 are the most feasible for the detectionof asparagus spears for robotic harvesting. It was concluded that further research would be conductedinto the application of such sensors into a commercially viable harvester.

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Performance and Economic Analysis of a Selective Asparagus Harvester

Cited by 12 publications

References 0 publications

Economics of robots and automation in field crop production

Economics of robots and automation in field crop production

Asparagus breeding: Future research needs for sustainable production

Overview of Sensor Technologies Used for 3D Localization of Asparagus Spears for Robotic Harvesting

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