A Survey on Different Uses of Sugarcane in Different States of India

Jagandeep Singh; Sandeep Kumar Diwakar

doi:10.55524/ijirem.2021.8.6.120

Abstract

Sugarcane is a perennial grass that is planted in various regions of the country. Each state has a unique Sugarcane need, and each state requires a comparatively large quantity of Sugarcane for that particular industrial application. However, it is a question of study to determine which state in India requires more sugarcane for a certain industrial requirement. It will be easier to enhance crop output according to the industrial demand in that state by evaluating the relative demand of sugarcane for industrial production of certain items. Thus, the current study sheds light on the demand for sugarcane for various purposes in the states of Uttar Pradesh, Gujarat, Maharashtra, and Tamil Nadu, and it pave the way for future research into the relationship between different varieties of cereals and pulses and average consumption of that variety in a given state.

Keywords

Alcohol, Bio-Plastic, Cane, Fertilizer, Skin Care.

References

[1] Bordonal R de O, Carvalho JLN, Lal R, de Figueiredo EB, de Oliveira BG, La Scala N. Sustainability of sugarcane production in Brazil. A review. Agronomy for Sustainable Development. 2018.

[2] Thirugnanasambandam PP, Hoang N V., Henry RJ. The challenge of analyzing the sugarcane genome. Frontiers in Plant Science. 2018.

[3] Cheavegatti-Gianotto A, de Abreu HMC, Arruda P, Bespalhok Filho JC, Burnquist WL, Creste S, et al. Sugarcane (Saccharum X officinarum): A Reference Study for the Regulation of Genetically Modified Cultivars in Brazil. Tropical Plant Biology. 2011.

[4] Misra V, Shrivastava AK, Shukla SP, Solomon S, Ansari MI. Sugarcane: A boon for enhancing women’s beauty. Agrica. 2016;

[5] Mokhena TC, Mochane MJ, Motaung TE, Linganiso LZ, Thekisoe OM, Songca SP. Sugarcane Bagasse and Cellulose Polymer Composites. In: Sugarcane - Technology and Research. 2018.

[6] Docksai R. Market for Bioplastics. Futurist. 2012;

[7] Keating BA, Robertson MJ, Muchow RC, Huth NI. Modelling sugarcane production systems I. Development and performance of the sugarcane module. F Crop Res. 1999;

[8] Dotaniya ML, Datta SC, Biswas DR, Dotaniya CK, Meena BL, Rajendiran S, et al. Use of sugarcane industrial by-products for improving sugarcane productivity and soil health. International Journal of Recycling of Organic Waste in Agriculture. 2016.

[9] Sefeedpari P, Shokoohi Z, Behzadifar Y. Energy use and carbon dioxide emission analysis in sugarcane farms: A survey on Haft-Tappeh Sugarcane Agro-Industrial Company in Iran. J Clean Prod. 2014;

[10] Solomon S. Sugarcane By-Products Based Industries in India. Sugar Tech. 2011;

[11] Samnani AK, Boekhorst JA, Harrison JA. Acculturation strategy and individual outcomes: Cultural diversity implications for human resource management. Hum Resour Manag Rev. 2012;

[12] Cox T, Blake S. Managing Cultural Diversity: implications for organisational effectiveness. Acad Manag Exec. 1991;5(3):45–56.

[13] Amaram DI. Cultural Diversity: Implications For Workplace Management. J Divers Manag. 2007;

[14] Van der Spoel E, Rozing MP, Houwing-Duistermaat JJ, Eline Slagboom P, Beekman M, de Craen AJM, et al. Workforce 2000: Work and Workers for the 21st century. Vol. 7, Aging. 1987. 956–963 p.

[15] Bergmann BR, Krause WR. Evaluating and Forecasting Progress in Racial Integration of Employment. Ind Labor Relations Rev. 1972;25(3):399.

[16] Kumar S, Jain A, Shukla AP, Singh S, Raja R, Rani S, et al. A Comparative Analysis of Machine Learning Algorithms for Detection of Organic and Nonorganic Cotton Diseases. Math Probl Eng. 2021;

[17] Rajput GK, Kumar A, Kundu S. A comparative study on sentiment analysis approaches and methods. In: Proceedings of the 2020 9th International Conference on System Modeling and Advancement in Research Trends, SMART 2020. 2020.

[18] Srivastava R, Mishra RP, Kumar V, Shukla HK, Goyal N, Singh C. Android malware detection amid COVID-19. In: Proceedings of the 2020 9th International Conference on System Modeling and Advancement in Research Trends, SMART 2020. 2020.

[19] Goswami PK, Goswami G. Wideband sensing antenna for smart cognitive radio applications. In: Proceedings of the 2020 9th International Conference on System Modeling and Advancement in Research Trends, SMART 2020. 2020.

[20] Goel S, Dwivedi RK, Sharma A. Analysis of social network using data mining techniques. In: Proceedings of the 2020 9th International Conference on System Modeling and Advancement in Research Trends, SMART 2020. 2020.

[21] Gupta A, Pant V, Kumar S, Bansal PK. Bank loan prediction system using machine learning. In: Proceedings of the 2020 9th International Conference on System Modeling and Advancement in Research Trends, SMART 2020. 2020.

[22] Rai J, Tripathi RC, Gulati N. A comparative study of implementing innovation in education sector due to COVID-19. In: Proceedings of the 2020 9th International Conference on System Modeling and Advancement in Research Trends, SMART 2020. 2020.

[23] Dhingra M, Mudgal RK. Applications of Perceived Usefulness and Perceived Ease of Use: A Review. In: Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, SMART 2019. 2020.

[24] Tripathi S, Verma PK, Goswami G. A review on SMART GRID power system network. In: Proceedings of the 2020 9th International Conference on System Modeling and Advancement in Research Trends, SMART 2020. 2020.

[25] Doloi H. Assessing stakeholders’ influence on social performance of infrastructure projects. Facilities. 2012;30(11):531–50.

Cites this article as

J. Singh, S. K. Diwakar, "A Survey on Different Uses of Sugarcane in Different States of India", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-8, Issue-6, Page No-550-554, 2021. Available from: https://doi.org/10.55524/ijirem.2021.8.6.120