The Crop Price Prediction Using Machine Learning: Preliminary Stage
The objective of our research is mostly concerned with agriculture. Farmers are the key players in agriculture. Knowing how much a crop will cost will enable you to make smarter judgments, which will reduce the losses and lower the risk of price changes. An ML model that forecasts agricultural...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
INTI International University
2024
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/1925/ http://eprints.intimal.edu.my/1925/1/jods2024_09.pdf |
| _version_ | 1848766873196298240 |
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| author | Ramya, T.K. Shreedhara N, Hegde Mohd Norshahriel, Abd Rani |
| author_facet | Ramya, T.K. Shreedhara N, Hegde Mohd Norshahriel, Abd Rani |
| author_sort | Ramya, T.K. |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | The objective of our research is mostly concerned with agriculture. Farmers are the key players
in agriculture. Knowing how much a crop will cost will enable you to make smarter judgments,
which will reduce the losses and lower the risk of price changes. An ML model that forecasts
agricultural prices in advance while accurately analyzing the crop may be able to solve this
issue. A predictive system, a statistical method combining machine learning and data collecting,
is used in many applications, including healthcare, retail, education, and government sectors.
Its usage in the agriculture sector has comparable relevance. The back-end predictive model
for this project is created utilizing machine learning algorithms. The steps involved in creating
a predictive model are data collecting, data cleaning, data mining, and validation. The goal is
to give farmers an intuitive user interface, and this model should correctly forecast crop market
value given the real-time variables provided. |
| first_indexed | 2025-11-14T11:58:03Z |
| format | Article |
| id | intimal-1925 |
| institution | INTI International University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:58:03Z |
| publishDate | 2024 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-19252024-08-06T06:20:46Z http://eprints.intimal.edu.my/1925/ The Crop Price Prediction Using Machine Learning: Preliminary Stage Ramya, T.K. Shreedhara N, Hegde Mohd Norshahriel, Abd Rani Q Science (General) QA75 Electronic computers. Computer science QA76 Computer software The objective of our research is mostly concerned with agriculture. Farmers are the key players in agriculture. Knowing how much a crop will cost will enable you to make smarter judgments, which will reduce the losses and lower the risk of price changes. An ML model that forecasts agricultural prices in advance while accurately analyzing the crop may be able to solve this issue. A predictive system, a statistical method combining machine learning and data collecting, is used in many applications, including healthcare, retail, education, and government sectors. Its usage in the agriculture sector has comparable relevance. The back-end predictive model for this project is created utilizing machine learning algorithms. The steps involved in creating a predictive model are data collecting, data cleaning, data mining, and validation. The goal is to give farmers an intuitive user interface, and this model should correctly forecast crop market value given the real-time variables provided. INTI International University 2024-06 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1925/1/jods2024_09.pdf Ramya, T.K. and Shreedhara N, Hegde and Mohd Norshahriel, Abd Rani (2024) The Crop Price Prediction Using Machine Learning: Preliminary Stage. Journal of Data Science, 2024 (09). pp. 1-8. ISSN 2805-5160 http://ipublishing.intimal.edu.my/jods.html |
| spellingShingle | Q Science (General) QA75 Electronic computers. Computer science QA76 Computer software Ramya, T.K. Shreedhara N, Hegde Mohd Norshahriel, Abd Rani The Crop Price Prediction Using Machine Learning: Preliminary Stage |
| title | The Crop Price Prediction Using Machine Learning: Preliminary Stage |
| title_full | The Crop Price Prediction Using Machine Learning: Preliminary Stage |
| title_fullStr | The Crop Price Prediction Using Machine Learning: Preliminary Stage |
| title_full_unstemmed | The Crop Price Prediction Using Machine Learning: Preliminary Stage |
| title_short | The Crop Price Prediction Using Machine Learning: Preliminary Stage |
| title_sort | crop price prediction using machine learning: preliminary stage |
| topic | Q Science (General) QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://eprints.intimal.edu.my/1925/ http://eprints.intimal.edu.my/1925/ http://eprints.intimal.edu.my/1925/1/jods2024_09.pdf |