[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-291236-105":59,"doc-detail-291236-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","potential-coffee-production-hot-spots-using-machine-learning-techniques-nagaland-and-manipur-india-msc-research-project","Potential Coffee Production Hot-spots Using Machine Learning Techniques: Nagaland and Manipur, India - MSc Research Project","","Coffee is a globally consumed and traded beverage whose cultivation depends on specific soil, altitude, and temperature conditions. Rising demand and climate change threaten yields and reduce available land, requiring crops to be relocated and new suitable habitats identified. This MSc research project explores using geographical data and machine learning with cloud computing to find alternative coffee-growing regions, with a focus on Nagaland and Manipur.",{"@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/potential-coffee-production-hot-spots-using-machine-learning-techniques-nagaland-and-manipur-india-msc-research-project/291236/",{"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/potential-coffee-production-hot-spots-using-machine-learning-techniques-nagaland-and-manipur-india-msc-research-project/291236.png","ImageObject",300,407,{"name":92,"@type":93},"Ophelia","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","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 does coffee production require careful geographic and climate conditions?","Question",{"text":112,"@type":113},"Coffee plants are climatically sensitive and need suitable soil quality, altitude ranges, and temperature-related conditions, which strongly influence yields.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What problem does the research address for coffee cultivation in India?",{"text":117,"@type":113},"Climate change reduces land suitable for coffee farming, while coffee demand keeps increasing, so new potential growing regions must be identified.",{"name":119,"@type":110,"acceptedAnswer":120},"How does the proposed study identify alternative coffee habitats?",{"text":121,"@type":113},"The study investigates geographical data combined with machine learning and cloud computing to detect alternative habitats and support scalable model development.","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},291236,1790566785,{"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":41,"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":143,"read_time":144,"preview_page_count":4},7971461741311,"https://ap-avatar.wpscdn.com/avatar/74000253aff267980c6?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779345379180704826","Potential Coffee Production Hot-spots Using Machine Learning Techniques: Nagaland and  \nManipur, India  \nMSc Research Project  \nData Analytics  \nNitish Sharma  \nStudent ID: x21145157  \nSchool of Computing National College of Ireland  \nSupervisor: Dr Catherine Mulwa  \nNational College of Ireland Project Submission Sheet School of Computing  \n| Student Name: | Nitish Sharma |\n| --- | --- |\n| Student ID: | x21145157 |\n| Programme: | Data Analytics |\n| Year: | 2022 |\n| Module: | MSc Research Project |\n| Supervisor: | Dr Catherine Mulwa |\n| Submission Due Date: | 1st February 2023 |\n| Project Title: | Potential Coffee Production Hot-spots Using Machine Learning Techniques: Nagaland and Manipur, India |\n| Word Count: | 7329 |\n| Page Count: | 28 |\n\nI hereby certify that the information contained in this (my submission) is information pertaining to research I conducted for this project. All information other than my own contribution will be fully referenced and listed in the relevant bibliography section at the rear of the project.  \nALL internet material must be referenced in the bibliography section. Students are required to use the Referencing Standard specified in the report template. To use other author’s written or electronic work is illegal (plagiarism) and may result in disciplinary action.  \n\n| Signature: | Nitish Sharma |\n| --- | --- |\n| Date: | 1st February 2023 |\n\nPLEASE READ THE FOLLOWING INSTRUCTIONS AND CHECKLIST:  \n\n| Attach a completed copy of this sheet to each project (including multiple copies) . | □ |\n| --- | --- |\n| Attach a Moodle submission receipt of the online project submission, to each project (including multiple copies) . | □ |\n| You must ensure that you retain a HARD COPY of the project, both foryour own reference and in case a project is lost or mislaid. It is not sufficient to keep a copy on computer. | □ |\n\nAssignments that are submitted to the Programme Coordinator office must be placed into the assignment box located outside the office.  \n\n| Office Use Only |  |\n| --- | --- |\n| Signature: |  |\n| Date: |  |\n| Penalty Applied (if applicable): |  |\n\nPotential Coffee Production Hot-spots Using Machine Learning Techniques: Nagaland and Manipur, India  \nNitish Sharma  \nx21145157  \nAbstract  \nCoffee is arguably one of the most consumed and traded beverages worldwide.  \nThe coffee plant is particularly climatically sensitive, requiring certain soil, altitude, and temperature conditions. The seeds of coffee fruits resembling cherries are roasted and prepared for export. As coffee’s demand has steadily increased over the years, poor yields can disrupt the supply chain. Less area remains suited for coffee plantations due to global warming. Therefore, crops must be relocated to new places to accommodate the rising demand. Only the states of Karnataka, Kerala, and Andhra Pradesh grow coffee in India, making it one of the world’s main coffee producers. The climate of the North East Indian States, Chhattisgarh, and sections of Maharashtra is also conducive to the growth of coffee plantations. On local PCs, classic research has employed GIS software and machine learning on raster data.  \nThis study investigates the use of geographical data and machine learning with cloud computing to identify alternative habitats. This discovery will enable the development of similar models for other crops and, as a result, the research will be scaled up using the cloud computing capability. While this approach largely eliminates the scalability difficulties of conventional geospatial analysis, cloud platforms are still undergoing development and offer fewer algorithms at present.  \n1 Introduction  \n1.1 Background and Motivation :  \nThere is a rapid expansion of coffee culture around the world, with consumption increasing in both coffee-importing and producing countries. Coffee production in the world is led by Brazil, followed by Vietnam. India is also one of the leading producers of coffee. In India, it is grown primarily in three","cbCaiaSQN6A6ZMyj","https://ap.wps.com/l/cbCaiaSQN6A6ZMyj","pdf",5697212,"English","# Introduction\n## Background and Motivation\n## Research Question","[{\"question\":\"Why does coffee production require careful geographic and climate conditions?\",\"answer\":\"Coffee plants are climatically sensitive and need suitable soil quality, altitude ranges, and temperature-related conditions, which strongly influence yields.\"},{\"question\":\"What problem does the research address for coffee cultivation in India?\",\"answer\":\"Climate change reduces land suitable for coffee farming, while coffee demand keeps increasing, so new potential growing regions must be identified.\"},{\"question\":\"How does the proposed study identify alternative coffee habitats?\",\"answer\":\"The study investigates geographical data combined with machine learning and cloud computing to detect alternative habitats and support scalable model development.\"}]","Potential Coffee Production Hot-spots Using Machine Learning Techniques: Nagaland and Manipur, India - MSc Research Project | PDF",1789643835,76]