Research Article

AI tools and Technologies for Productivity Enhancement in Sugar Industry

by  Amol Chavan, Majharoddin Kazi, Santosh Parakh
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Issue 43
Published: September 2025
Authors: Amol Chavan, Majharoddin Kazi, Santosh Parakh
10.5120/ijca2025925750
PDF

Amol Chavan, Majharoddin Kazi, Santosh Parakh . AI tools and Technologies for Productivity Enhancement in Sugar Industry. International Journal of Computer Applications. 187, 43 (September 2025), 47-52. DOI=10.5120/ijca2025925750

                        @article{ 10.5120/ijca2025925750,
                        author  = { Amol Chavan,Majharoddin Kazi,Santosh Parakh },
                        title   = { AI tools and Technologies for Productivity Enhancement in Sugar Industry },
                        journal = { International Journal of Computer Applications },
                        year    = { 2025 },
                        volume  = { 187 },
                        number  = { 43 },
                        pages   = { 47-52 },
                        doi     = { 10.5120/ijca2025925750 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2025
                        %A Amol Chavan
                        %A Majharoddin Kazi
                        %A Santosh Parakh
                        %T AI tools and Technologies for Productivity Enhancement in Sugar Industry%T 
                        %J International Journal of Computer Applications
                        %V 187
                        %N 43
                        %P 47-52
                        %R 10.5120/ijca2025925750
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

The South Asian region, especially India, is a key player in global sugar production. India ranks among the top sugar producers. Over the years, India has improved its sugarcane farming with advanced technologies, making the industry productive, sustainable, and self-reliant. This independence, supported by industry connections and partnerships, helped it overcome challenges, including those caused by the COVID-19 pandemic. Furthermore, the industry engages in social responsibility activities that benefit stakeholders and align with the 2030 Sustainable Development Goals. This paper explores ways to improve sugarcane farming and productivity using new technologies in the sugarcane industry. The adoption of ICT and IoT has ushered in a new era for India’s sugarcane industry, transforming it into a tech-enabled, self-reliant sector. These innovations have not only modernized traditional farming and processing methods but also laid the groundwork for a more resilient, eco-friendly, and profitable future. As technology continues to evolve, the industry is poised to reach new heights - benefiting millions of farmers and stakeholders across the country.

References
  • "Artificial Intelligence – Achyut Godbole", Madhushree Publication, Marathi, ISBN-13‏: ‎ 978-8195377275
  • K Asha, Mamatha K, Ashwini S Patil. “Providing Smart Agricultural Solutions to Farmers for Better Yielding using IoT”. ICACT - 2016 (VOLUME 4 - ISSUE 22)
  • Hukwunonso Franklyn and Aisha Tukur. “Problems And Prospects Of Adopting Ict In Agriculture”. African Journal of Agricultural Research and Development", Volume 5, Number 3, 2012 ISSN: 2141-0097
  • S S Hasan, P K Bajpai, Rajesh Kumar, S N Singh and A K Sah “Information and Communication Technologies tools for effective management of data in sugar mill zone” (Indian Journal of Sugarcane Technology 2011 26(1): 55-59)
  • R. Kumar and V. Nath", Int. J. Logistics Systems and Management, Vol. 35, No. 1,2020
  • Mrs.Varsha P.Desai, Dr. R.D. Kumbhar. “Impact of ERP Implementation on Performance of Private Sugar Factories in Sangli District”. IRJMS Vol. 4, Special Issue 8, February, 2018 ISSN (Online): 2454-8499,,,
  • Mr. Ghule Kshitij Narendra and Dr. J.R Bhor. “E-HRM in Indian Sugar Industry: Differentiating Tool in Competitive Market”. IBMRD's Journal of Management and Research", Print ISSN: 2277-7830, Online ISSN: 2348-5922
  • Patrick Lukokoa, Charles Mundiab. ""GIS Based Site Suitability Analysis for Location of a Sugar Factory in Trans Mara District"". International Journal of Sciences: Basic and Applied Research (IJSBAR) ISSN 2307-4531
  • Ngozi Clara Eli-Chukwu. "Applications of Artificial Intelligence in Agriculture: A Review"". Engineering", Technology & Applied Science Research Vol. 9, No. 4,2019, 4377-4383
  • O.O. Obe and D.K. Shangodoyin. "Artificial Neural Network Based Model for Forecasting Sugar Cane Production"". Journal of Computer Science 6 (4): 439-445", 2010 ISSN 1549-3636
  • Dr. H K Shivanand, Puneeth P, MeghaShree K A. “Analysis on Application of GIS and GPS in Sugarcane Agriculture."" Online ISSN: 2395-602X (www.ijsrst.com) doi: https://doi.org/10.32628/IJSRST207661.
  • Muhammad Shoaib Farooq, Shamyla Riaz, Adnan Abid, Tariq Umer and Yousaf Bin Zikria. "Role of IoT Technology in Agriculture: A Systematic Literature Review”.
  • N.N. Misra, Yash Dixit, Ahmad Al-Mallahi, Manreet Singh Bhullar, Rohit Upadhyay, Alex Martynenko. “IoT, big data and artificial intelligence in agriculture and food industry”. DOI 10.1109/JIOT.2020.2998584, IEEE Internet of Things Journal.
  • Anil Kumar", Hari Chand and D N Kamat. Artificial intelligence applications in sugarcane. Indian Farming 69(08): 03–04; August 2019. https://www.researchgate.net/publication/344643834_Indian_Farming_Artificial_intelligence_applications_in_sugacane
  • Venkatesh J, Sekar, Aarthy C, Balasubramanian M, Thenmozhi S and Balasubramanie P (2012). Role of ICT in Distribution of Knowledge in Agriculture Sector - Its Efficacy and Scope. The International Journal of Computer Science and Applications (TIJCSA) 1(5) 1-8.
  • Pratibha M. Deshmukh, Dr. Pallavi P. Jamsandekar. “Transformation through Communication System the Step in Sugar Industries Domain”. IJARCCE - Vol. 8, Issue 5, May 2019
  • Suresh Pal, Mruthyunjaya, Joshi PK and Raka Saxena (2003). Institutional Change in Indian Agriculture” National Centre for Agricultural Economics and Policy Research (Indian Council of Agricultural Research), New Delhi 1-445. Available: http://www.icar.org.in/ncap/index.htm
  • Sukhpal Singh (2004). Leveraging ICT for Agricultural Development: A case study of e-Choupals of ITC. Paradigm", Journal of IMT, Ghaziabad VIII(1) 1-6
  • Arundhathi, Suchit Nanda and Subbiah Arunachalam (2007). Transformative Impact of ICT Change Stories from Rural India. Jamsetji Tata National Virtual Academy (NVA) M S Swaminathan Research Foundation, Chennai 1-31. Available: www.mssrf-nva.org
  • Dr. B. S. Sawant, Uma Jalindar Yadav “A Case Study: Problems and Prospects of IT Implementation in Sugar Factory”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 8, August 2012 ISSN: 2277 128X.
  • Modern Trends in Technology and relevant issues in cogeneration plants of Sugar Industry; https://cdm.unfccc.int/Projects/DB/SGS- UKL1200599187.35/ReviewInitial Comments/ 0E HRT I99IZO2F5EQWTHOTGXDFEKW14 as retrieved on 16 th March",2017
  • K Asha, Mamatha K, Ashwini S Patil. "Providing Smart Agricultural Solutions to Farmers for Better Yielding using IoT". International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Special Issue – 2016
  • Ritika Srivastava, Vandana Sharma, Vishal Jaiswal, Sumit Raj. "A RESEARCH PAPER ON SMART AGRICULTURE USING IOT". International Research Journal of Engineering and Technology (IRJET) Volume: 07 Issue: 07 | July 2020
  • Surabhi Singh, Santosh Ahlawat and Sarita Sanwal. "Role of ICT in Agriculture: Policy Implications" ISSN: 0974-6471, Vol. 10, No. (3) 2017, Pg. 691-697 www.computerscijournal.org
  • Haridas B. Jogdankar and Minakshi V. Waykole. "Impact of Information Technology and Management on Sugar Industries". International Multidisciplinary Research Journal, ISSN No2231-5063, (Vol.4 Issue 6 Dec 2014)
  • Tanha Talaviya, Dhara Shaha, Nivedita Patel, Hiteshri Yagnik, Manan Shah. “Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides”. Artificial Intelligence in Agriculture Volume 4, 2020. https://doi.org/10.1016/j.aiia.2020.04.002.
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

AI Sugar production GIS Sugarcane Productivity Enhancement Data Analysis

Powered by PhDFocusTM