Economic evaluation of apple harvest and in-filed sorting technology

Article


Zhang, Z., Pothula, A. K. and Lu, R.. 2017. "Economic evaluation of apple harvest and in-filed sorting technology." Transactions of the ASABE. 60 (5), pp. 1537-1550. https://doi.org/10.13031/trans.12226
Article Title

Economic evaluation of apple harvest and in-filed sorting technology

ERA Journal ID3442
Article CategoryArticle
AuthorsZhang, Z. (Author), Pothula, A. K. (Author) and Lu, R. (Author)
Journal TitleTransactions of the ASABE
Journal Citation60 (5), pp. 1537-1550
Number of Pages14
Year2017
Place of PublicationUnited States
ISSN2151-0032
2151-0040
Digital Object Identifier (DOI)https://doi.org/10.13031/trans.12226
Web Address (URL)https://elibrary.asabe.org/abstract.asp?aid=48467
Abstract

The U.S. apple industry, which generated more than $2.7 billion in revenue at the farm gate in 2013, is facing
critical challenges with decreased availability of labor and increased labor and production costs. To address these challenges, a self-propelled apple harvest and in-field sorting machine is being developed in our laboratory. This article reports on the economic evaluation of this prototype machine by considering machine cost (annual ownership and operating costs), harvest productivity increase (including that due to decreased occupational injuries), and cost savings in postharvest storage and packing resulting from in-field sorting of fresh market quality apples from processing apples for both fresh apple growers and processing apple growers. The economic evaluation was conducted based on the assumptions that the machine increases harvest productivity by 43% to 63% and operates for 360 h during the harvest season. For fresh apple orchards with processing apple incidences of 5% to 15%, the net annual benefits that would accrue from owning one machine range from $13,500 to $78,400 when the machine price is between $100,000 and $160,000. For processing apple orchards with processing apple incidences of 80% to 90% and the same machine price range, the net annual benefits that would accrue from owning one machine range from $23,900 to $81,700. Overall, the benefits gained from in-field sorting outweigh those from the harvest productivity increase, and integration of the harvest-assist and in-field sorting functions is more beneficial to apple growers. This technology will help the U.S. apple industry improve labor productivity and reduce production costs, and thus it looks promising for commercialization.

Keywordsapples, economic evaluation, harvest-assist, in-field sorting, machinery system, occupational injuries
ANZSRC Field of Research 2020409901. Agricultural engineering
Public Notes

File reproduced in accordance with the copyright policy of the publisher/author.

Byline AffiliationsMichigan State University, United States
Institution of OriginUniversity of Southern Queensland
Permalink -

https://research.usq.edu.au/item/q5125/economic-evaluation-of-apple-harvest-and-in-filed-sorting-technology

  • 413
    total views
  • 568
    total downloads
  • 0
    views this month
  • 3
    downloads this month

Export as

Related outputs

Evaluation of a new apple in-field sorting system for fruit singulation, rotation and imaging
Pothula, Anand Kumar, Zhang, Zhao and Lu, Renfu. 2023. "Evaluation of a new apple in-field sorting system for fruit singulation, rotation and imaging." Computers and Electronics in Agriculture. 208. https://doi.org/10.1016/j.compag.2023.107789
Milled industrial beet color kinetics and total soluble solid contents by image analysis
Pothula, Anand Kumar, Igathinathane, C., Shen, Jiacheng, Nichols, K. and Archer, David. 2015. "Milled industrial beet color kinetics and total soluble solid contents by image analysis." Industrial Crops and Products. 65, pp. 159-169. https://doi.org/10.1016/j.indcrop.2014.12.001
Profile based image analysis for identification of chopped biomass stem nodes and internodes
Pothula, Anand Kumar, Igathinathane, C. and Kronberg, S.. 2015. "Profile based image analysis for identification of chopped biomass stem nodes and internodes." Industrial Crops and Products. 70 (1), pp. 374-382. https://doi.org/10.1016/j.indcrop.2015.03.048
Innovative technology for apple harvest and in-field sorting
Lu, Renfu, Zhang, Zhao and Pothula, Anand Kumar. 2017. "Innovative technology for apple harvest and in-field sorting." Fruit Quaterly. 25 (2), pp. 11-14.
Automatic unhulled rice grain crack detection by X-ray imaging
Pothula, Anand Kumar and Bal, Satish. 2007. "Automatic unhulled rice grain crack detection by X-ray imaging." Transactions of the ASABE. 50 (5), pp. 1907-1911.
Biomass pyrolysis and combustion integral and differential reaction heats with temperatures using thermogravimetric analysis/differential scanning calorimetry
Shen, Jiacheng, Igathinathane, C., Yu, Manlu and Pothula, Anand Kumar. 2015. "Biomass pyrolysis and combustion integral and differential reaction heats with temperatures using thermogravimetric analysis/differential scanning calorimetry." Bioresource Technology. 185, pp. 89-98. https://doi.org/10.1016/j.biortech.2015.02.079
Development and preliminary evaluation of a new bin filler for apple harvesting and in-filed sorting machine
Zhang, Z., Pothula, A. K. and Lu, R.. 2017. "Development and preliminary evaluation of a new bin filler for apple harvesting and in-filed sorting machine." Transactions of the ASABE. 60 (6), pp. 1839-1849. https://doi.org/10.13031/trans.12488
Design features and bruise evaluation of an apple harvest and in-filed presorting machine
Pothula, Anand Kumar, Zhang, Zhao and Lu, Renfu. 2018. "Design features and bruise evaluation of an apple harvest and in-filed presorting machine." Transactions of the ASABE. 61 (3), pp. 1135-1144. https://doi.org/10.13031/trans.12327
A review of bin filling technologies for apple harvest and postharvest handling
Zhang, Z., Pothula, A. K. and Lu, R.. 2018. "A review of bin filling technologies for apple harvest and postharvest handling." Applied Engineering in Agriculture. 34 (4), pp. 687-703. https://doi.org/10.13031/aea.12827
System for sorting fruit
Lu, Renfu, Pothula, Anand Kumar, Mizushima, Akira, Vandyke, Mario and Zhang, Zhao. 2018. System for sorting fruit. US 9919345 B1
Digital image processing based identification of nodes and internodes of chopped biomass stems
Pothula, Anand Kumar, Igathinathane, C., Kronberg, S. and Hendrickson, J.. 2014. "Digital image processing based identification of nodes and internodes of chopped biomass stems." Computers and Electronics in Agriculture. 105, pp. 54-65. https://doi.org/10.1016/j.compag.2014.04.006
Novel front end processing method of industrial beet juice extraction for biofuels and bioproducts industries
Pothula, Anand Kumar, Igathinathane, C., Faller, T. and Whittaker, R.. 2014. "Novel front end processing method of industrial beet juice extraction for biofuels and bioproducts industries." Biomass and Bioenergy. 68, pp. 161-174. https://doi.org/10.1016/j.biombioe.2014.06.017
Postharvest processing of large cardamom in the Eastern Himalaya: a review and recommendations for increasing the sustainability of a niche crop
Singh, Angom Ingocha and Pothula, Anand Kumar. 2013. "Postharvest processing of large cardamom in the Eastern Himalaya: a review and recommendations for increasing the sustainability of a niche crop." Mountain Research and Development. 33 (4), pp. 453-462. https://doi.org/10.1659/MRD-JOURNAL-D-12-00069.1