[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-123219-en":3,"doc-seo-123219-105":30,"detail-sidebar-cat-0-en-105":91},{"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":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},123219,1374391975076,"Riley","https://ap-avatar.wpscdn.com/avatar/14000253ca4ec9f6853?x-image-process=image/resize,m_fixed,w_180,h_180&k=1783305029341752051",6,"Technology","Smart Crop Advisor using Machine Learning - Issue 4 - Abstract","A data-driven Smart Crop Advisor is proposed to address crop selection challenges faced by farmers, especially those without expertise. The online decision support system uses a Gradient Boosting algorithm to improve prediction accuracy and provide personalized crop recommendations based on local conditions. Farmers input soil-test parameters such as pH and environmental factors including humidity and temperature, and the system suggests suitable crops for specific regions and situations. Built with Python, HTML, and CSS, it leverages an agricultural database to support sustainable farming by improving yields, reducing chemical inputs, and minimizing resource loss.","International Journal of Innovative Research in Science  \nEngineering and Technology (IJIRSET)  \n(A Monthly, Peer Reviewed, Refereed, Scholarly Indexed, Open Access Journal)  \nImpact Factor: 8.699 Volume 14, Issue 4 , April 2025  \n|[www.ijirset.com](www.ijirset.com |A Monthly)[ |A Monthly](www.ijirset.com |A Monthly), Peer Reviewed & Refereed Journal| e-ISSN: 2319-8753| p-ISSN: 2347-6710|  \nVolume 14, Issue 4, April 2025  \n|DOI: 10.15680/IJIRSET.2025.1404474|  \nSmart Crop Advisor using Machine Learning  \nDr.R.C.Dyana Priyatharsini, Basineedi Venkata Kishore,Cherukuri Lakshmi Kalavathi,  \nChavali Sujatha  \nAssociate Professor, Department of CSE, Bharath Institute of Higher Education and Research, Selaiyur, Chennai,  \nTamil Nadu, India  \nB. Tech Students, Department ofCSE, Bharath Institute of Higher Education and Research, Selaiyur, Chennai,  \nTamil Nadu, India  \nABSTRACT: Now-a-days selection of crop is a significant challenge for farmers it becomes more difficult, if they are having no experience or do not have knowledge to select the best possible viable crop. Introducing the Smart Crop Advisor (SCA) which aids in such recommendations to local conditions. Smart Crop Advisor is an online decision support system that adopts Gradient Boosting algorithm to improve the accuracy of agricultural decisions, and gives low-level farmers a personal crop selection advice. Smart Crop Advisor is Designed using Python, HTML and CSS. Python is used for backend development and machine learning model implementation. The user interface is designed using HTML and CSS, allowing for anyone to just add their conditions easily. This application provides insights based on data by utilizing a large agricultural database. The farmers have to enter the specifications based on their soil test report like PH value, climatic conditions such as humidity, temperature. The system proposes best crops suited for particular region and situations. SCA improves crop yields and minimizes chemical inputs, reduces resource loss by selecting the right crops for a specific region and climate, farmers can improve crop yields and reduce waste. It promotes sustainable farming S which the system promotes sustainable farming practices by recommending crops that are well-suited to the local conditions.  \nIJIRSET©2025 | An ISO 9001:2008 Certified Journal | 9323  \n|[www.ijirset.com](www.ijirset.com |A Monthly)[ |A Monthly](www.ijirset.com |A Monthly), Peer Reviewed & Refereed Journal| e-ISSN: 2319-8753| p-ISSN: 2347-6710|  \nVolume 14, Issue 4, April 2025  \n|DOI: 10.15680/IJIRSET.2025.1404474|  \nI. INTRODUCTION  \nAgriculture is a critical base to address climate change, environmental degradation and population growth in this era; sustainable agriculture has never been greater. At the foundation of global economies, agriculture is a linchpin for enhancing both human health and globally providing food security demands but also confronting interrelated challenges at unprecedented rates. The rising complexity of crop selection criteria has become a fundamental problem in farming, which is compounded by volatile climate patterns and soil fertility degradation along with the scarcity of land. The world's population is projected to reach 9.7 billion by the year 2050, and food demand will be higher than ever before as a result so choosing what crop to plant might just make better decisions on how land gets used still an important thing in decision making process. This traditional way of crop selection, using local knowledge and historical practices have become outdated under changing agricultural scenario. As such, there is an immediate demand for solution in the form of tools that can empower farmers with data-driven insights needed to take decisions on what typeof crops they should be planting which will directly translate into better yields, reducing wastage and moving towards sustainable farming. In this paper, a data-driven Smart Crop Advisor is proposed by using machine learning","cbCaigLAFNwVKg2L","https://ap.wps.com/l/cbCaigLAFNwVKg2L","pdf",1422504,1,7,"English","en",105,"# Abstract\n# I. Introduction\n## Background and motivation\n## Role of machine learning in crop selection\n# II. Literature Review","[{\"question\":\"What problem does the Smart Crop Advisor address?\",\"answer\":\"It addresses the difficulty farmers face in selecting the most viable crops, particularly when they lack experience or knowledge under changing environmental conditions.\"},{\"question\":\"How does the system make crop recommendations?\",\"answer\":\"Farmers enter soil and climate specifications (such as pH, humidity, and temperature). The system then uses a Gradient Boosting machine learning approach and an agricultural database to suggest suitable crops.\"},{\"question\":\"What technologies are used to build Smart Crop Advisor?\",\"answer\":\"The backend and machine learning model implementation use Python, while the user interface is designed with HTML and CSS.\"}]","Smart Crop Advisor using Machine Learning - Issue 4 - Abstract | PDF",1785815292,18,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"smart-crop-advisor-using-machine-learning-issue-4-abstract","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/technology/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/smart-crop-advisor-using-machine-learning-issue-4-abstract/123219/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What problem does the Smart Crop Advisor address?","Question",{"text":75,"@type":76},"It addresses the difficulty farmers face in selecting the most viable crops, particularly when they lack experience or knowledge under changing environmental conditions.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does the system make crop recommendations?",{"text":80,"@type":76},"Farmers enter soil and climate specifications (such as pH, humidity, and temperature). The system then uses a Gradient Boosting machine learning approach and an agricultural database to suggest suitable crops.",{"name":82,"@type":73,"acceptedAnswer":83},"What technologies are used to build Smart Crop Advisor?",{"text":84,"@type":76},"The backend and machine learning model implementation use Python, while the user interface is designed with HTML and CSS.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,113,117,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":111,"slug":112},50,"technology",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":114,"show_sort_weight":115,"slug":116},"Healthcare",40,"healthcare",{"id":118,"doc_module":4,"doc_module_name":46,"category_name":119,"show_sort_weight":120,"slug":121},8,"Research & Report",30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]