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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Prediction of Agricultural Crop Price and Machinery Rental Price using Machine Learning Algorithms |
| Authors Name: | Pooja D L , Ranganatha S , Namitha S A , Gowthami S M |
| Unique Id: | IJSDR2305366 |
| Published In: | Volume 8 Issue 5, May-2023 |
| Abstract: | Agriculture is a vital sector that contributes significantly to the global economy. However, the agriculture industry faces several challenges, including unpredictable fluctuations in crop prices and the unavailability of farming equipment. Maximum accuracy in predictions of crop prices and equipment rental prices can help farmers and agricultural businesses make informed decisions, improve profitability and productivity, and optimize their decision-making processes. Features like market, location, and variety are used to predict crop prices so that farmers can easily know the corresponding prices according to the market and choose to sell for a better price in a better place. Owning and maintaining machinery for temporary work is risky, and most of the farmers choose a rental business, as a result, demand for machinery rental got raised and holders started to rent their machines to fulfill it. This led to the challenge of finding equivalent profit for both lenders and buyers. The intention of the study is to furnish better price prediction for both crops and machinery rental using machine learning algorithms like Random Forest, Decision Tree Regression, Linear Regression, and Gradient Boosting. The performance computation of the regression models exposed that Decision Tree and Linear Regression perform better for crop price prediction and machinery rental price prediction respectively than the other models considered in this study. Finally, these two algorithms are used to build a user-friendly interface. |
| Keywords: | Agriculture, Machinery rental, Regression model, Machine learning algorithms, Crop price prediction |
| Cite Article: | "Prediction of Agricultural Crop Price and Machinery Rental Price using Machine Learning Algorithms", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.2317 - 2325, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305366.pdf |
| Downloads: | 000337211 |
| Publication Details: | Published Paper ID: IJSDR2305366 Registration ID:206872 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.36200 Page No: 2317 - 2325 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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