[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-290552-105":59,"doc-detail-290552-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","the-crop-price-prediction-using-machine-learning-preliminary-stage","The Crop Price Prediction Using Machine Learning - Preliminary Stage","","Research focuses on agriculture by forecasting future crop prices to help farmers make smarter decisions, reducing losses and exposure to price volatility. A predictive system combining machine learning with data collection is employed, using a back-end model built from machine learning algorithms. Model development follows data collecting, data cleaning, data mining, and validation. The objective is to provide an intuitive user interface that accurately predicts crop market value from real-time variables provided by official sources.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/the-crop-price-prediction-using-machine-learning-preliminary-stage/290552/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/the-crop-price-prediction-using-machine-learning-preliminary-stage/290552.png","ImageObject",300,407,{"name":92,"@type":93},"Liam","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-23","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":52},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why is crop price prediction important for farmers?","Question",{"text":112,"@type":113},"Accurate forecasting helps farmers plan marketing and production choices, aiming to maximize revenue and minimize loss despite factors like soil conditions, climate change, and market uncertainty.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What steps are involved in creating the predictive model?",{"text":117,"@type":113},"The workflow includes data collecting, data cleaning, data mining, and validation, followed by generating forecasts from real-time variables.",{"name":119,"@type":110,"acceptedAnswer":120},"Which factors are considered for price and profit prediction?",{"text":121,"@type":113},"Price prediction uses rainfall, maximum trade, minimum support price, and yield, while profit prediction considers crop price, yield, cultivation costs, and seed costs.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},290552,1789642055,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":52,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":39,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":129,"read_time":46,"preview_page_count":4},8796095461564,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","JOURNAL OF DATA SCIENCE | Vol.2024:09  \neISSN:2805-5160  \nThe Crop Price Prediction Using Machine Learning: Preliminary Stage  \nRamya T K 1*, Shreedhara N Hegde 1*, Mohd Norshahriel Abd Rani2  \n1Dayananda Sagar Academy of Technology and Management, Karnataka, India.  \n2 Faculty of Data Science and Information Technology, INTI International University,  \nMalaysia  \n[Emails:](Emails: 1ramyatk196@gmail.com)[ 1](Emails: 1ramyatk196@gmail.com)[ramyatk196@gmail.com](Emails: 1ramyatk196@gmail.com), [1](1shreedhara-mca@dsatm.edu.in)[shreedhara-mca@dsatm.edu.in](1shreedhara-mca@dsatm.edu.in)  \nAbstract  \nThe 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.  \nKeywords  \nCrop Price Prediction, Random Forest Algorithm, Machine Learning Model.  \nIntroduction  \nIndia is regarded as an agrarian nation because around 55% of its people rely on agriculture or closely related industries to make a living. An important component of India's first sector of the economy is agriculture (Ghutake, I.,[et.al](et.al)., 2021). Farmers experience significant losses due to barren soil, global climate change, an abundance of products on the market, and numerous other unknowns. To manage and sell the products at the optimum time to maximize revenue and minimize loss, it is imperative to predict projected prices in the future (Rachana, P. S.,[et.al](et.al)., 2019) .  \nIn the past, farmers' experience with specific crops and fields was used to anticipate prices (Sabu, K. M., & Kumar, T. M., 2020) . Assume that we have access to historical data with  \nSubmission: 19 May 2024; Acceptance: 2 3 June 2024  \nCopyright: © 2024. All the authors listed in this paper. The distribution, reproduction, and any other usage of the content of this paper is permitted, with credit given to all the author(s) and copyright owner(s) in accordance to common academic practice. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, as stated in the website: [https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/)  \nJOURNAL OF DATA SCIENCE | Vol.2024:09  \neISSN:2805-5160  \nvarious matching price forecasts recorded and that we will utilize this data to categorize potential future price projections. Farmers need accurate price forecasting as well since they use it to guide their marketing and production choices, which may have an impact on their finances months down the road. This forecast is based on data from official sources and employs machine learning methods. The price of a crop can also be predicted via data mining. Data mining, in general, is the process of examining data from various angles and condensing it into helpful information (Rohith, R.,[et.al](et.al), 2020). Crop price forecasting is a significant agricultural issue. Every farmer strives to understand how much of his expected price he will receive (Darekar, A., & Reddy, A. A., 2017) . With regard to machine learning/deep learningbased models, updating the models could result in sta","cbCaieNfbmyNpjS6","https://ap.wps.com/l/cbCaieNfbmyNpjS6","pdf",404966,"English","# Introduction\n# Problem Statement and Motivation\n# Proposed Prediction Approach\n## Data Preparation and Model Building\n## Prediction Goals for Price and Profit\n# Algorithms and Models Used\n## Random Forest and Naive Bayes\n## KNN and LSTM\n# Forecasting Scenarios and Evaluation","[{\"question\":\"Why is crop price prediction important for farmers?\",\"answer\":\"Accurate forecasting helps farmers plan marketing and production choices, aiming to maximize revenue and minimize loss despite factors like soil conditions, climate change, and market uncertainty.\"},{\"question\":\"What steps are involved in creating the predictive model?\",\"answer\":\"The workflow includes data collecting, data cleaning, data mining, and validation, followed by generating forecasts from real-time variables.\"},{\"question\":\"Which factors are considered for price and profit prediction?\",\"answer\":\"Price prediction uses rainfall, maximum trade, minimum support price, and yield, while profit prediction considers crop price, yield, cultivation costs, and seed costs.\"}]","The Crop Price Prediction Using Machine Learning - Preliminary Stage | PDF"]