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Artificial Intelligence (AI) is revolutionizing the sugar industry by enhancing various aspects like sugarcane cultivation and harvesting, processing andensuring quality production, sustainability in business and policy contexts.The integration of AI technologies, such as machine learning and computer vision, offers significant improvements in crop management and operational efficiency and economic sustainability
AI technology have ability to analyze vast amounts of data from weather patterns, soil quality and disease incidence allows for the creation of predictive models that optimize technology can be used mitigate risks associated with unpredictable weather events, pest invasions, and disease outbreaks. Moreover, AI facilitates early disease detection by identifying symptoms before they become visible to the human eye, thus enabling timely interventions.
AI technology can be used to improve quality of sugar by monitoring production process, detecting impurities through automatic visual inspection and optimizing process parameter at every stage by proper automation
AI technology also supports decision-making in sugar mills by providing predictive insights, which enhance operational efficiency and productivity.AI technology helps Government for fixing FRP of cane minimum price of sugar.
Keywords:
Use of Artificial Intelligence in Indian Sugar Industry
Cite Article:
"Use of Artificial Intelligence in Indian Sugar Industry", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b660-b664, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604226.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator