Evaluation of an intelligent device for identifying cane losses from sugarcane harvester primary extractor

  • Mahmoud Shomeili Sugarcane and its by-products research and training inistitute
  • Sasan Ahmadi Former M.Sc. Student of Mechanization, Shoushtar Islamic Azad University, Shoushtar, Iran
  • Mohammad Amin Asodar Department of Agronomy, Ramin Agriculture and Natural Resources University, Ahvaz, Iran
  • Amin Reza Jamshidi Department of Mechanization Shoushtar Islamic Azad University, branch, Shoushtar, Iran
Keywords: Acoustic sensor, Closed circuit camera, Harvest losses, Sugarcane primary extractor

Abstract

Among the factors that affect the amount of crop losses are the methods and tools used to perform harvesting operations. Machine harvesting of sugarcane is done in two ways: green and burnt, and usually burnt harvest has fewer losses. When harvesting sugarcane, you can clearly hear the sound of sugarcane pieces hitting the wall of the primary extractor hood. Accordingly, it was decided to use the audio system to determine the relationship between these sounds and the losses of the primary extractor. To record sounds in the basic extractor, two models of full-directional and one-way capacitive microphone (cardioid) and cool record edit deluxe and AudaCity software were used. To detect the wavelength of the sounds caused by the collision of different parts of sugarcane with the hood cap and extractor blades by throwing a large volume of straw along with 25 cm pieces of sugarcane billets, a sound record was set. A camera was also installed there to record video of what was happening under the extractor compartment. The results showed that the one-way capacitive microphone installed in the upper part of the primary extractor housing received clearer sounds. Analyظing the recorded sounds and comparing them with the images obtained from the camera under the primary extractor revealed that the audio loss detection system detects the losses in the primary extractor with an accuracy of about 75 to 80%. The loss rate at 1200 rpm was about 1.5 times higher than at 1100 rpm.

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References

Anonymous, Amir Kabir agro-industry Internal Correspondence - Sugarcane Booklet, 2008.

Anonymous. Internal reports of Khuzestan Sugarcane and By-product Research and Training Institute, 1991-2013.

Carmen MCM, Francisco MAF, Rafael AA, Danilo GO, Helenilson de OF, Mirian PSS, Aline da SS. and Maurício DMJ. Visible Losses to the Mechanical Harvesting of Ratoon Sugarcane Using the Harvester John Deere 3520. American Journal of Analytical Chemistry, 2018; 9:580-590 http://www.scirp.org/journal/ajac,DOI:10.4236/ajac.2018.911042

Ehsani, R. The position of food industry in rural development. At: http://food4life.blogfa.com/post-34.aspx, 2010

Ghasemnejad Maleki HM. and Jamshidi AR. Forecast Model of Sugar Loss Due to Mechanical Harvesting of the sugarcane crop. Australian Journal of Basic and Applied Sciences, 2011; 5(12): 1190-1194.

Group of Industry, Trade and Agriculture. 2019. Report No. 7121698. Club of Khabarnegarane Javan news, website at : http://www.yjc.ir/00Tsg6

Keshavarz A, Shariatmadar MH, Khosravi A, Sheikh Mehrabadi AA, Biki Khoshk A, Shabani M, Bakhshayesh M, Kiyan Pour R. and Fakari B. Estimating the economic value of the lost water due to wastes of agricultural products (irrigated crop and garden, from the harvest to before taking). Journal of Water and Sustainable Development, 2016; 3(1): 73-82.

Kosum K. and Bun-art S. The losses of sugarcane harvested from a sugarcane harvester. Suranaree Journal of Science & Technology, 2020; 27(1):1-9.

Martins MB, Testa JVP, Drudi FS, Sandi J. and Lanças KP. Losses in the mechanized harvest of sugarcane as a function of working speed and rotation of the primary extractor. Científica, 2017; 45(3):218-222. DOI: http://dx.doi.org/10.15361/1984-5529.

McCarthy SG, Billingsley J. and Harris H. Development of an advanced cane loss monitoring system, Proceedings of the Australian Society of Sugar Cane Technologists, Cairns Queensland, 2002.

Ramos CRG, Lanças KP, Lyra GA, and Millani TM. Qualidade da colheita mecanizada de cana-de-açúcar em função da velocidade de deslocamento e rotação do motor da colhedora. Energia na Agricultura, 2014; 29(2):87-94.

Santos NB, Fernandes HC. and Gadanha Júnior CD. Economic impact of sugarcane (Saccharum spp.) loss in mechanical harvesting. Científica, 2015; 43(1):16–21.

Saxena P, Srivastava RP. and Sharma ML. Impact of cut to crush delay and bio-chemical changes in sugarcane. Australian Journal Crop Science, 2010; 4(9): 692-699.

13- SCHMIDT JUNIOR, J. C. Avaliação de desempenho efetivo de colhedora de cana-de-açúcar (Sacchaurum spp.), 2011; 110p.

Sedaghat Hosseini SM, Korang Beheshti AM. and Farzaneh Y. Comparison of losses in different methods of harvesting irrigated wheat in Miandoab city. The first national conference on mechanization and new technologies in agriculture. At : Ahvaz, Iran, 2010.

Shomeili M. Reviewed the various aspects of sugarcane loss resources in Iran. 5th conference of Iranian Society of Sugarcane Technologists: at: Ahvaz, Iran, 2013.

Viator RP, Richard EP, Viator BJ, Jackson W, Waguespack HL. and Birkett HS. Sugarcane chopper harvester extractor fan and ground speed effects on yield and quality. Applied engineering in Agriculture, 2007; 23(1): 31-34.

Whiteing C, Norris CP. and Paton DC. Extraneous matter versus cane loss: Finding a balance in chopper harvested green cane. Proceedings International Society Sugar Cane Technologists, 2001; 24: 276-282.

Published
2022-04-19
How to Cite
Shomeili, M., Ahmadi, S., Amin Asodar, M., & Jamshidi, A. R. (2022). Evaluation of an intelligent device for identifying cane losses from sugarcane harvester primary extractor. Journal of Environmental Treatment Techniques, 10(2), 143-148. https://doi.org/10.47277/JETT/10(2)159
Section
Regular publication process