[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-127737-en":3,"doc-seo-127737-105":31,"detail-sidebar-cat-0-en-105":93},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},127737,962084926284,"Aurora","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","A Machine Learning Approach for Tomato Crop Yield and Price Prediction","Agricultural product costs strongly influence the horticultural market. In India, tomatoes exhibit large supply and price variations across outdoor and indoor cultivation, and yields shift due to multiple environmental and agronomic factors, making inventory and cost stabilization difficult. Continuous meteorological changes further drive unstable vegetable supply and price fluctuations. This study applies a machine learning approach to analyze tomato yield and cost, enabling more accurate forecasting for farmers and government planning and supporting strategies to reduce future price pressures.","Journal of Advanced Zoology  \nISSN: 0253-7214  \nVolume 44 IssueS-6 Year 2023 Page 517:523  \nA Machine Learning Approach for Tomato Crop Yield and Price  \nPrediction  \nVarsha Manohar Pujari*1, Vishwanath Y*2  \n1,2 School of CSE, REVA University  \n[2](2vishwanath.y@reva.edu.in)[vishwanath.y@reva.edu.in](2vishwanath.y@reva.edu.in)  \n*Corresponding author’[s E-mail:](s E-mail: manoharvarsha96@gmail.com)[ manoharvarsha96@gmail.com](s E-mail: manoharvarsha96@gmail.com)  \n\n| Article History\u003Cbr>Received: 06 June 2023\u003Cbr>Revised: 05 Sept 2023\u003Cbr>Accepted: 29 Nov 2023\u003Cbr>CC License\u003Cbr>CC-BY-NC-SA 4.0 | Abstract\u003Cbr>Agricultural product costs play a significant part in the horticultural market. In India, vegetables, for example, tomatoes have the biggest supply and price variances among farming items. As tomatoes are grown around the year, outdoor and indoor, their yields change because of various factors, it is hard to settle tomatoes' inventory and costs. Although the Government puts numerous efforts to balance out the supply and costs of vegetables, continuous meteorological changes have prompted unstable supply and price fluctuations of vegetables. Accordingly, the right anticipating of vegetable costs is a significant issue. To oblige these, in this paper, an attempt has been made to dissect the costs and yield of tomatoes in India by utilizing a Machine Learning approach. This will unquestionably help the farmers and the Government if the anticipated costs are getting higher in the forthcoming months, then appropriate strategies can be made to diminish the costs of tomatoes.\u003Cbr>Keywords: Ensemble Model, Naïve Bayes, Decision Trees, Regression, Yield Prediction, Price Prediction. |\n| --- | --- |\n\n1. Introduction  \nAgriculture is the essential wellspring of jobs for about 58% of India's population [4] . The Indian economy is transcendently subject to the agribusiness area, which plays an important role and contributes about 17% to the absolute Gross Domestic Product, and tomato crop is one of the most significant harvests under the Indian government \"TOP\" need a rundown of green yields alongside Potatoes and Onions. These three TOP crops found the nation over-represents the Government of India's drive called 'Operation Greens' to improve farmers living conditions.  \nTomato crop began in the Peru region of South America. India is probably the biggest producer of fresh tomatoes. It is the 2nd most significant harvest of the world after potato. In India, the tomato is cultivated in two seasons, from June-September (monsoon season) and from October to February (spring season), although in certain areas, tomatoes are developed consistently. It is utilized in, powder, puree, juice, soup, and ketchup. The significant tomato-cultivating states are Madhya Pradesh, Andhra Pradesh, Karnataka, West Bengal, Bihar, Maharashtra, Orissa, and UP. In Punjab state, Hoshiarpur, Jalandhar, Amritsar, and Ropar are tomato developing locales. It tends to be cultivated in varied soil such as sand, clay, black soil, and red soil having legitimate drainage [3] .  \nBecause of their decayable nature, tomatoes cannot be stored in their fresh state. Subsequently, tomatoes are processed to lessen their dropping rate. In India, immense post-reap losses of the harvested tomatoes happen because of deficient storage facilities, which carry generous losses to the cultivators, and henceforth it affects the country’s economy. An administration statement appraises that 12.4% of tomatoes are lost [6] .  \nThe tomato preservation in a semi-processing framework deals with the attractive excess as well as guarantees the inventory of crude materials for processed items like sauce, ketchup, drink, and other handled items. Without an appropriate handling assortment, Indian processors will in general import mass tomato glue for the most part from China tomato cultivators sell their produce normally via a nearby dealer at the neighborhood or provincial market (the commercial center) ","cbCaidZj7RuJjTP3","https://ap.wps.com/l/cbCaidZj7RuJjTP3","pdf",375341,5,1,7,"English","en",105,"# Introduction\n## Tomato cultivation context and production factors\n## Post-harvest losses and processing need\n## Motivation for forecasting using ML\n# Literature Review\n## STL-LSTM for vegetable value prediction\n## Seasonal ARIMA for price forecasting\n## Crop recommendation with ANN","[{\"question\":\"Why is predicting tomato yield and price important?\",\"answer\":\"Tomato costs significantly affect the horticultural market, and weather-driven supply changes create unstable price fluctuations. Accurate forecasting supports planning and decision-making to stabilize outcomes for farmers and government.\"},{\"question\":\"What problem does the paper address?\",\"answer\":\"The paper addresses the difficulty of settling tomato inventory and costs due to varying yields and continuous meteorological changes. It targets unstable supply and price fluctuations of vegetables.\"},{\"question\":\"What machine learning approach is used for the analysis?\",\"answer\":\"The study proposes a machine learning approach and discusses using modeling techniques such as ensemble methods and regression-based prediction for both yield and price.\"}]","A Machine Learning Approach for Tomato Crop Yield and Price Prediction | PDF",1785941333,18,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":88,"head_meta":90,"extra_data":92,"updated_unix":29},"a-machine-learning-approach-for-tomato-crop-yield-and-price-prediction","",{"@graph":37,"@context":87},[38,55,70],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/document/research-report/",3,{"item":53,"name":13,"@type":44,"position":54},"https://docshare.wps.com/document/a-machine-learning-approach-for-tomato-crop-yield-and-price-prediction/127737/",4,{"url":53,"name":13,"@type":56,"author":57,"headline":13,"publisher":59,"fileFormat":62,"inLanguage":24,"description":14,"dateModified":63,"datePublished":64,"encodingFormat":62,"isAccessibleForFree":65,"interactionStatistic":66},"DigitalDocument",{"name":9,"@type":58},"Person",{"url":42,"name":60,"@type":61},"DocShare","Organization","application/pdf","2026-08-23","2026-08-05",true,{"@type":67,"interactionType":68,"userInteractionCount":20},"InteractionCounter",{"@type":69},"ViewAction",{"@type":71,"mainEntity":72},"FAQPage",[73,79,83],{"name":74,"@type":75,"acceptedAnswer":76},"Why is predicting tomato yield and price important?","Question",{"text":77,"@type":78},"Tomato costs significantly affect the horticultural market, and weather-driven supply changes create unstable price fluctuations. Accurate forecasting supports planning and decision-making to stabilize outcomes for farmers and government.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"What problem does the paper address?",{"text":82,"@type":78},"The paper addresses the difficulty of settling tomato inventory and costs due to varying yields and continuous meteorological changes. It targets unstable supply and price fluctuations of vegetables.",{"name":84,"@type":75,"acceptedAnswer":85},"What machine learning approach is used for the analysis?",{"text":86,"@type":78},"The study proposes a machine learning approach and discusses using modeling techniques such as ensemble methods and regression-based prediction for both yield and price.","https://schema.org",{"og:url":53,"og:type":89,"og:title":13,"og:site_name":60,"og:description":14},"article",{"robots":91,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":94},[95,99,103,107,111,116,120,123,128,131,135],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":96,"show_sort_weight":97,"slug":98},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":100,"show_sort_weight":101,"slug":102},"Literature",80,"literature",{"id":54,"doc_module":4,"doc_module_name":47,"category_name":104,"show_sort_weight":105,"slug":106},"Exam",70,"exam",{"id":20,"doc_module":4,"doc_module_name":47,"category_name":108,"show_sort_weight":109,"slug":110},"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":22,"doc_module":4,"doc_module_name":47,"category_name":117,"show_sort_weight":118,"slug":119},"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":47,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":47,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":47,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":47,"category_name":137,"show_sort_weight":20,"slug":138},19,"General","general"]