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All Journal International Journal of Applied Sciences and Smart Technologies
Madhuri Rao
Thadomal Shahani Engineering College , Mumbai, India
Computer Science & IT Energy Engineering Industrial & Manufacturing Engineering

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Sugarcane Production Modeling Using Machine Learning in Western Maharashtra Chhaya Gunaji Narvekar; Madhuri Rao
International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 02, December 2022
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v4i2.4636

Abstract

Agriculture is the most important sector in the Indian economy. India is the world's second-largest producer of sugarcane. Study is undertaken at Shirol tehsil. Kolhapur district, Maharashtra state, India with the aim of modeling sugarcane production forecasting using supervised machine learning algorithms. Sugarcane is mostly cultivated crop in this area. We applied supervised machine learning for forecasting the productivity of sugarcane village wise based on the ten year’s data about sugarcane production from the year 2010 to 2020. Productivity prediction accuracy for all algorithm  is greater than 92%. Whereas sugarcane yield prediction accuracy is around 65% , which is only based on features provided by sugar factory.
Co-Authors Chhaya Gunaji Narvekar