Abstract
Sugarcane has become an essential production crop for energy and biofuels. Productive performance, combined with sustainability, was mainly provided by the latest development in mechanization. Over the years, sugarcane harvesting mechanization has been highlighted in scientific research to solve complex factors aiming at technology input in this management stage. The bibliometric analysis verifies more relevant research, citations number, relevant journals, and scientific production trends. This study aims to characterize mechanized sugarcane harvesting evolution and verify future scientific research trends. We adopted RStudio processing and bibliometric maps with VosViewer software to Scopus and Web of Science databases, which identified 325 articles relating to mechanized harvesting of sugarcane. Based on citation number, Brazil, China, USA, and Australia are the leading countries with maximum development and research products related to mechanized sugarcane harvesting. Harvesters, mechanized harvesting optimization, computer simulation, and precision agriculture were the main subjects addressed in experimental research. The investigations exploring precision agriculture and technologies are being applied in mechanized sugarcane harvesting to future research. Therefore, this review provided valuable information for the farmers and researchers on future research trends to optimize mechanized harvesting of sugarcane.
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Andrade, Aline Franciel, Rilner Alves Flores, Derblai Casaroli, Amanda Magalhães Bueno, Marco Aurélio Pessoa-de-Souza, Carlos Cesar Silva. Jardim, Klaus de Oliveira Abdala, Eduardo Parra Marques, and Marcio Mesquita. 2022. Biometric and physiological relationships and yield of sugarcane in relation to soil application of potassium. Sugar Tech 24: 473–484. https://doi.org/10.1007/s12355-021-01032-z.
Andrade-Valbuena, Nelson A., Jose M. Merigo-Lindahl, and Olavarrieta S. Sergio. 2019. Bibliometric analysis of entrepreneurial orientation. World Journal of Entrepreneurship, Management and Sustainable Development 15: 45–69. https://doi.org/10.1108/WJEMSD-08-2017-0048.
Aria, Massimo, and Corrado Cuccurullo. 2017. Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics 11: 959–975. https://doi.org/10.1016/j.joi.2017.08.007.
Awe, Gabriel Ola, J.M. Reichert, and Eracilda Fontanela. 2020. Sugarcane production in the subtropics: Seasonal changes in soil properties and crop yield in no-tillage, inverting and minimum tillage. Soil and Tillage Research 196: 104447.
Bai, Jing, Shaochun Ma, Guangyou Yang, Fenglei Wang, Haiqian Xing, and Wenli Ke. 2020. Testing and analysis of the extractor of a sugarcane chopper harvester. ASABE 63: 251–257. https://doi.org/10.13031/trans.13182.
Bakkalbasi, Nisa, Kathleen Bauer, Janis Glover, and Lei Wang. 2006. Three options for citation tracking: Google scholar, scopus and web of sci-ence. Biomedical Digital Libraries 3: 1–8. https://doi.org/10.1186/1742-5581-3-7.
Banchi, Ângelo. D., Angel P. Garcia, Andrei Grespan, Daniel Albiero, Luis G. A. Favarin, and Cezario B. Galvão. 2019. Operating cost of sugarcane harvester in function of agricultural productivity and harvester age. Revista Brasileira De Engenharia Agrícola e Ambiental 23: 552–557. https://doi.org/10.1590/1807-1929/agriambi.v23n7p552-557.
Banchi, Ângelo. D., Angel P. Garcia, Daniel Albiero, Cezário B. Galvão, and Luis G. A. Favarin. 2020. Importance of crop productivity and equipment lifetime in the strategic and tactical management of sugarcane harvesters. Engenharia Agrícola 40: 601–608. https://doi.org/10.1590/1809-4430-Eng.Agric.v40n5p601-608/2020.
Barbara, K.; Charters, S.; Budgen, D.; Brereton, P.; Mark, T.; Linkman, S.; Jørgensen, M.; Mendes, E.; Visaggio, G. Guidelines for performing Systematic Literature Reviews in Software Engineering. Version 2.3. Durham UK. 2007. Available online: https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.471
Bernardes, Thiago F., and A.C. do Rêgo. 2014. Study on the practices of silage production and utilization on Brazilian dairy farms. Journal of Dairy Science 97: 1852–1861.
Canata, Tatiana Fernanda, Maurício Martello, Leonardo Felipe Maldaner, Jadir de Souza Moreira, and José Paulo. Molin. 2022. 3D Data processing to characterize the spatial variability of sugarcane fields. Sugar Tech 24 (419): 429.
Chagas, Mateus F., Ricardo O. Bordonal, Otávio. Cavalett, N. João Luis, Antonio Bonomi Carvalho, and Newton La Jr Scala. 2016. Environmental and economic impacts of different sugarcane production systems in the ethanol biorefinery. Biofuels Bioproducts & Biorefining 10: 89–106. https://doi.org/10.1002/bbb.1623.
Chain, Caio Peixoto, Antônio Carlos, Luiz dos Santos, Gonzaga de Castro, and José Willer. Prado. 2018. Bibliometric analysis of the quantitative methods applied to the measurement of industrial clusters. Journal of Economic Surveys 33: 60–84. https://doi.org/10.1111/joes.12267.
Coman, Madalina Adina, Andreea Marcu, Razvan Mircea Chereches, Jarkko Leppälä, and Stephan Van Den Broucke. 2020. Educational interventions to improve safety and health literacy among agricultural workers: A systematic review. International Journal of Environmental Research and Public Health 17: 1–15. https://doi.org/10.3390/ijerph17031114.
Crowe, Jennifer, Catharina Wesseling, Bryan Román Solano, Manfred Pinto Umaña, Andrés Robles. Ramírez, Tord Kjellstrom, David Morales, and Maria Nilsson. 2013. Heat exposure in sugarcane harvesters in Costa Rica. American Journal of Industrial Medicine. https://doi.org/10.1002/ajim.22204.
Crowe, Jennifer, Maria Nilsson, Tord Kjellstrom, and Catharina Wesseling. 2015. Heat-related symptoms in sugarcane harvesters. American Journal of Industrial Medicine. https://doi.org/10.1002/ajim.22450.
Damann, Kenneth E. 1992. Effect of sugarcane cultivar susceptibility on spread of ratoon stunting disease by the mechanical harvester. Plant Disease 76: 1148–1149.
de Lima, Jeovano Jesus Alves., Leonardo Felipe Maldaner, and José Paulo. Molin. 2021. Sensor fusion with NARX neural network to predict the mass flow in a sugarcane harvester. Sensors. https://doi.org/10.3390/s21134530.
Ding, Zhengliang, Shaochun Ma, Fenglei Wang, Haonan Xing, Jing Bai, and Hu. Jiwei. 2022. Development and testing of an electric-hydraulic system for height control of sugarcane harvester basecutter. Journal of the ASABE 65: 305–312. https://doi.org/10.13031/ja.14728.
Eck, Van, Nees Jan, and Ludo Waltman. 2010. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84: 523–538. https://doi.org/10.1007/s11192-009-0146-3.
Filho, Marques, Aldir Carpes, Joao Vitor Paulo. Testa, S. Moura. dos Michel, Murilo B. Martins, and Kléber Pereira. Lanças. 2022a. Continuous and impact cutting systems for sugarcane harvester. Engenharia Agrícola. https://doi.org/10.1590/1809-4430-Eng.Agric.v42n2e20210167/2022.
Filho, Marques, Aldir Carpes, Simone Daniela Sartório, Murilo de Medeiros, Battistuzzi Martins, Michel Moura dos Santos, and Kléber Pereira. Lanças. 2022b. Can the straw remaining on the ground reduce the wheelsets impact on sugarcane crop? Sugar Tech 24: 1814–1820. https://doi.org/10.1007/s12355-022-01128-0.
Garcia, Angel Pontin, Claudio Kiyoshi Umezu, Edna Carolina Moriones. Polania, Américo Ferraz Dias. Neto, Raffaella Rossetto, and Daniel Albiero. 2022. Sensor-based technologies in sugarcane agriculture. Sugar Tech 24: 679–698. https://doi.org/10.1007/s12355-022-01115-5.
Garfield, Eugene. 2006. Citation indexes for science. A new dimension in documentation through association of ideas. International Journal of Epidemiology 35: 1123–1127. https://doi.org/10.1093/ije/dyl189.
Gírio, Lucas Augusto, Rouverson da Silva, Pereira da Silva, Patricia Candida, Fanciele de Menezes, Morlin Carneiro, Cristiano Zerbato, and Antonio Tassio Santana. Ormond. 2019. Quality of multi-row harvesting in sugarcane plantations established from pre-sprouted seedlings and billets. Industrial Crops and Products. https://doi.org/10.1016/j.indcrop.2019.111831.
Graham, M.H., and R.J. Haynes. 2006. Organic matter status and the size, activity and metabolic diversity of the soil microbial community in the row and inter-row of sugarcane under burning and trash retention. Soil Biology and Biochemistry 38: 21–31. https://doi.org/10.1016/j.soilbio.2005.04.011.
Higgins, Andrew. 2006. Scheduling of road vehicles in sugarcane transport: A case study at an Australian sugar mil. European Journal of Operational Research 170: 987–1000. https://doi.org/10.1016/j.ejor.2004.07.055.
Higgins, Andrew, George Antony, Gary Sandell, Ian Davies, Di. Prestwidge, and Bill Andrew. 2004. A framework for integrating a complex harvesting and transport system for sugar production. Agricultural Systems 82: 99–115. https://doi.org/10.1016/j.agsy.2003.12.004.
Johnson, Richard M., and Edward P. Richard. 2005. Sugarcane yield, sugarcane quality, and soil variability in Louisiana. Agronomy Journal. https://doi.org/10.2134/agronj2004.0184.
Kosum, Kanya, and Samart Bun-art. 2020. The losses of sugarcane harvested from a sugarcane harvester. Suranaree Journal of Science & Technology 27: 1–9.
Li, Zhi, Zhaoli Lin, Shiyan Li, and Hua Zhang. 2022. Optimization research on the working parameters of sugarcane harvester on the cutting time of stalks using virtual prototype technology. Sugar Tech 25: 41–56. https://doi.org/10.1007/s12355-022-01195-3.
Luz, Felipe Bonini, Guilherme Adalberto Ferreira. Castioni, Cássio Antonio. Tormena, Rafael dos Santos, João Luís. Freitas, Nunes Carvalho, and Maurício Roberto. Cherubin. 2022. Soil tillage and machinery traffic influence soil water availability and air fluxes in sugarcane fields. Soil & Tillage Research. https://doi.org/10.1016/j.still.2022.105459.
Ma, Shaochun, Manoj Karkee, Patrick A.. Scharf, and Qin Zhang. 2014. Sugarcane harvester technology: A critical overview. American Society of Agricultural and Biological Engineers 30: 727–739. https://doi.org/10.13031/aea.30.10696.
Maldaner, Leonardo Felipe, Tatiana Fernanda Canata, and José Paulo. Molin. 2022. An approach to sugarcane yield estimation using sensors in the harvester and ZigBee technology. Sugar Tech 24: 813–821. https://doi.org/10.1007/s12355-021-01050-x.
Martins, Murilo Battistuzzi, and Daniel Ruiz. 2020. Influence of operational conditions of mechanized harvesting on sugarcane losses and impurities. Engenharia Agrícola 40: 352–355. https://doi.org/10.1590/1809-4430-Eng.Agric.v40n3p352-355/2020.
Martins, Murilo Battistuzzi, João Vitor Paulo. Testa, Fernanda Scaranello Drudi, Jefferson Sandi, Carlos Renato Guedes. Ramos, and Kléber Pereira. Lanças. 2019. Interference of speed at cutting height and damage to rootstock in mechanical harvesting of sugarcane. Australian Journal of Crop Science 13: 1305–1308. https://doi.org/10.21475/ajcs.19.13.08.p1713.
Martins, Murilo Battistuzzi, Aldir Carpes Marques. Filho, Fernanda Scaranello Drudi, Fernanda Pacheco, Almeida Prado de Bortolheiro, Eduardo Pradi Vendruscolo, and Maura Seiko Tsutsui. Esperancini. 2021. Economic efficiency of mechanized harvesting of sugarcane at different operating speeds. Sugar Tech 23: 428–432. https://doi.org/10.1007/s12355-020-00910-2.
Martins, Murilo Battistuzzi, Carlos Renato Guedes. Ramos, Fábio Lopes. Souza, Maria Márcia Pereira. Sartori, and Kléber Pereira. Lanças. 2017. Relação entre velocidade de deslocamento, rendimento da cana-de-açúcar e o consumo de combustível da colhedora. Revista De Agricultura Neotropical 4: 88–91. https://doi.org/10.32404/rean.v4i1.1264.
Merton, Robert King. 1977. The sociology of science: An episodic memoir. In The Sociology of Science in Europe.
Mo, Hanning, Shangping Li, Jinghui Zhou, Bang Zeng, Guiqing He, and Chen Qiu. 2022. Simulation and experimental investigations on the sugarcane cutting mechanism and effects of influence factors on the cutting quality of small sugarcane harvesters under vibration excitations. Mathematical Problems in Engineering. https://doi.org/10.1155/2022/6929776.
Nardi, Pierfrancesco, Giovanni di Matteo, Marc Palahi, and Giuseppe Scarascia Mugnozza. 2016. Structure and evolution of mediterranean forest research: A science mapping approach. PLoS ONE 11: 1–20. https://doi.org/10.1371/journal.pone.0155016.
Neto, Dias, Américo. Ferraz, Daniel Albiero, Raffaella Rossetto, and João. D. Biagi. 2022. Modeling of mechanized sugarcane harvesting to support decision-making on asset management. Sugar Tech 24: 798–812. https://doi.org/10.1007/s12355-022-01126-2.
Paixão, Carla S.S.., Murilo A. Voltarelli, Rouverson P. da Silva, A. de Mateus, P. Borba, and Luma S. Torres. 2020. Statistical process control applied to monitor losses in the mechanized sugarcane harvesting. Engenharia Agrícola 40: 473–480. https://doi.org/10.1590/1809-4430-Eng.Agric.v40n4p473-480/2020.
Paixão, Carla S.S.., Murilo A. Voltarelli, Adão. F. dos Santos, and Rouverson P. da Silva. 2021. Sugarcane base cutting quality using rectangular and circular blades. Engenharia Agrícola 41: 56–61. https://doi.org/10.1590/1809-4430-Eng.Agric.v41n1p56-61/2021.
Pelloso, Murilo Fuentes, Bruno Fuentes Pelloso, Adriano Aparecido de Lima, and Alex Henrique Tiene. Ortiz. 2021. Influence of harvester and rotation of the primary extractor speed in the agroindustrial performance of sugarcane. Sugar Tech 23: 692–696. https://doi.org/10.1007/s12355-020-00944-6.
Pizzi, Simone, Andrea Caputo, Antonio Corvino, and Andrea Venturelli. 2020. Management research and the UN sustainable development goals (SDGs): A bibliometric investigation and systematic review. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2020.124033.
Ramos, Carlos R Guedes., Kléber. P. Lanças, Gabriel A.. de Lyra, and Jefferson Sandi. 2016. Fuel consumption of a sugarcane harvester in different operational settings. Revista Brasileira De Engenharia Agrícola e Ambiental 20: 588–592. https://doi.org/10.1590/1807-1929/agriambi.v20n6p588-592.
Ren, Weibo, Wu. Kezhong, Gu. Qiusheng, and Hu. Yaoguang. 2020. Intelligent decision making for servisse providers selection in maintenance service network: An adaptive fuzzy-neuro approach. Knowledge-Based Systems 190: 105263. https://doi.org/10.1016/j.knosys.2019.105263.
Richard Jr, Edward P., John W. Dunckelman, and Cade E. Carter. 1991. Productivity of sugarcane on narrow rows, as affected by mechanical harvesting. Field Crops Research 26: 375–386. https://doi.org/10.1016/0378-4290(91)90012-K.
Santana, Lucas Santos, Gabriel Araujo E Silva. Ferraz, Alberdan Jose da Silva. Teodoro, Mozarte Santos Santana, Rossi Giuseppe, and Enrico Palchetti. 2021. Advances in precision coffee growing research: A bibliometric review. Agronomy 11: 1557. https://doi.org/10.3390/agronomy11081557.
Sethanan, Kanchana, and Woraya Neungmatcha. 2016. Multi-objective particle swarm optimization for mechanical harvester route planning of sugarcane field operations. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2016.01.043.
Severiano, Eduardo C., Geraldo C. de Oliveira, S. de Moacir, Dias Júnior, Matheus B. de Castro, Luiz F. C. de Oliveira, A. de Katia, and P. Costa. 2010. Compactação de solos cultivados com cana-de-açúcar: I - modelagem e quantificação da compactação adicional após as operações de colheita. Engenharia Agrícola 30: 404–413. https://doi.org/10.1590/S0100-69162010000300005.
Shal, El., Ahmed Mohamed, Yasser Sayed Mazrou, and Mohamed Ibrahim El. Didamony. 2022. Engineering and economic evaluation of a prototype fabricated for harvesting sugarcane. Designs 6: 40. https://doi.org/10.3390/designs6030040.
Sharifi, Ayyoob, Dahlia Simangan, and Shinji Kaneko. 2021. Three decades of research on climate change and peace: A bibliometrics analysis. Sustainability Science 16: 1079–1095. https://doi.org/10.1007/s11625-020-00853-3.
Silva, Almeida, Lucas Almeida Marcelo, Maria de Holanda, Márcia Pereira. Sartori, Gabriel Henrique Germino, Alexandrius de Moraes Barbosa, and Leandro Bianchi. 2020. Base cut quality and productivity of mechanically harvested sugarcane. Sugar Tech 22: 284–290. https://doi.org/10.1007/s12355-019-00768-z.
Silva, Marcelo J., O. Nevas. de Lucas, Murilo H. F. Correa, and Carlos H. W. de Souza. 2021. Quality Indexes and Performance in Mechanized Harvesting of Sugarcane at a Burnt Cane and Green Cane. Sugar Tech 23: 499–507.
Silva, Itallo Dirceu, Zigomar Menezes Costa, Ana de Souza, Paula Guimarães Santos, Camila Viana Vieira. Farhate, Ingrid Nehmi Oliveira, and José Luiz Rodrigues. Torres. 2022. Removal of different quantities of straw on the soil surface: Effects on the physical attributes of the soil and the productivity of sugarcane yield in southeast Brazil. Sugar Tech 24: 1404–1419. https://doi.org/10.1007/s12355-021-01082-3.
Silva, Reginaldo Barboza, Piero Iori, Zigomar Menezes de Souza, Danilo Moraes Gomes. de Pereira, Oswaldo Julio Vischi Filho, and Francisca Alcivania Melo Silva. 2016. Contact pressures and the impact of farm equipment on Latosol with the presence and absence of sugarcane straw. Ciência e Agrotecnologia. 40: 265–278.
Smithers, Jeff. 2014. Review of sugarcane trash recovery systems for energy cogeneration in South Africa. Renewable and Sustainable Energy Reviews 32: 915–925. https://doi.org/10.1016/j.rser.2014.01.042.
Todd, James, and Richard Johnson. 2021. Prediction of ratoon sugarcane family yield and selection using remote imagery. Agronomy. https://doi.org/10.3390/agronomy11071273.
Valeiro, A., and C. Biaggi. 2019. Critical review of the technological evolution of the sugarcane harvest in Argentina. RIA, Revista De Investigaciones Agropecuarias 45: 31–43.
Wang, Feng-lei, Shao-chun Ma, Hao-nan Xing, Jing Bai, Jin-zhi Ma, and Meng-long Wang. 2021. Effect of contra-rotating basecutter parameters on basecutting losses. Sugar Tech 23: 278–285. https://doi.org/10.1007/s12355-020-00856-5.
Wang, Weiwei, Cheng Li, Kui Wang, Lingling Tang, Pedro Final Ndiluau, and Yuhe Cao. 2022. Sugarcane stem node detection and localization for cutting using deep learning. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2022.1089961.
Xu, Hai, Wu. Tao, Qingting Liu, Zengxue Zhang, Xiangtian Gan, and Xiaoling Liang. 2020. Investigation of the trajectory of expelled billets from the chopping rollers of a sugarcane harvester. Sugar Tech 22: 896–910. https://doi.org/10.1007/s12355-020-00814-1.
Zhao, Peifang, Jiawen Guo, Xinxin Gao, Gaoyuan Liu, Yangrui Li, David M. Burner, and Litao Yang. 2019. Small-scale mechanical harvesting and tractor-caused soil compaction reduce early growth in sugarcane. Agronomy. https://doi.org/10.3390/agronomy9120830.
Zhao, Liang, Shengjie Jiao, Chao Wang, and Jun Zhang. 2022. Research on terrain sensing method and model prediction for height adjustment of sugarcane harvester base cutter. Wireless Communications and Mobile Computing. https://doi.org/10.1155/2022/7344498.
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MBM and ACMF were involved in idealization; MBM, ACMF, and LSS were involved in investigation; MBM, ACMF, LSS, FPAPB, and KGPS were involved in writing; MBM, ACMF, and FPAPB were involved in writing—review and editing; and MBM was involved in supervision.
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Martins, M.B., Filho, A.C.M., Santana, L.S. et al. Sugarcane Harvester: A Bibliometric Review. Sugar Tech 25, 1316–1327 (2023). https://doi.org/10.1007/s12355-023-01286-9
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DOI: https://doi.org/10.1007/s12355-023-01286-9