9th International Conference on ICT for Sustainable Development

Authors - Ashwani Kumar, Prathamesh Kusalkar, Sanket Naitam, Harsh Pande, S. N. Ghotkar, S. S. Kumbhar, Shanu Kumar, Sanket Jiwane
Abstract - The goal of this paper is to create a machine learning based system for seasonal pricing patterns and dynamic pricing [1] of vegetables in wholesale markets across the country. Using machine learning algorithms, the system optimizes prices by taking advantage of quantity, seasonal, and regional aspects. Regression analysis and tree based machine learning techniques are used by the system to create customized predictions for various crops, analyze historical data, and use models for price forecasting [2]. Planning and profit-maximizing techniques work together to maximize resources, cut waste, and promote sustainable farming methods