[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117779-en":3,"doc-seo-117779-105":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},117779,1099513958762,"Logic","https://ap-avatar.wpscdn.com/avatar/1000023916a998db790?x-image-process=image/resize,m_fixed,w_180,h_180&k=1784791008015729253",8,"Research & Report","Machine Learning Based Crop Prediction on Region Wise Weather Data","Agriculture remains a core human activity, and sustainable farming is essential for national well-being, supporting food security and economic growth. Crop growth and yield are strongly shaped by local climate conditions such as wind speed, temperature, rainfall, and humidity, making early weather forecasting valuable for farmers. This work applies machine learning, including deep learning techniques, to model crop production from regional climate data, aiming to improve yield while reducing water use and environmental impact. The studies focus on LSTM-based crop yield prediction using predicted weather data.","Machine Learning Based Crop Prediction on Region  \nWise Weather Data  \nSaikat Banerjee1, Shubha Chakraborty2, Dr. Abhoy Chand Mondal3  \n1Research scholar, The department of Computer science,  \nThe University of Burdwan, West Bengal, India  \n[saikat.banerjee56@gmail.com](saikat.banerjee56@gmail.com)  \n2Research scholar, The department of Computer science,  \nThe University of Burdwan, Golapbag, West Bengal, India  \n[shubhac13@gmail.com](shubhac13@gmail.com)  \n3HOD & Professor, The Department of Computer Science  \nThe University of Burdwan, West Bengal, India  \n[abhoy_mondal@yahoo.co.in](abhoy_mondal@yahoo.co.in)  \nAbstract—Agriculture is a primordial occupation for human civilization, whereby farmers cultivate domesticated species of food. It refers to farming in general, which is an art and science that attempts to reform a component of the Earth's exterior through the cultivation of plants and other crops, as well as raising livestock for sustenance or other necessities for the soul and economic gain. As a result of the vital role that sustainable agriculture plays in the overall health of the nation, this sector of the economy has been the incubator for some of the most cuttingedge technological advances in recent history. Scientists and farmers have been working together to discover new methods that will allow them to increase crop production while simultaneously decreasing their water consumption and lessening their negative effects on the environment. Machine learning, deep learning, and a number of other methodologies are some examples of these approaches. A crop's expansion and maturation are both heavily influenced by the climate in which it is grown. The local climate, namely its wind speed, temperature, rainfall, and humidity, is the most exigent factor in determining the advancement or failure of crop production. If the weather is predicted prior to crop cultivation, it will be beneficial to the farmer. Machine learning is a new innovation that can solve people’s real-life problems. It is a technique where a machine can act like a human and learn through experiences and the use of different types of data. Now a day, Agriculture is one of the fields of machine learning where we use different types of machine learning algorithms to predict crop production based on climate data which can benefited farmers to increase the production of the crop. In these studies, we are going to predict crop yield using LSTM based on predicted weather data.  \nKeywords-Machine Learning; Multiple Linear Regression; Long Short Term Memory (LSTM); Crop.  \nI. INTRODUCTION  \nThe phrase \"agriculture\" has origins in the Latin phrase agricultra, from ager, \"area,\" and cultra, \"cultivation\" or\"developing.\" It is defined in its broadest sense, in the broadest sense of the use of natural resources \"to produce life-sustaining substances, including food, fibre, forest products, horticultural plants, and their related services.\" Agriculture was the initial step in the evolution of mankind, and despite the enormous advancements that have taken place throughout human history, agriculture is still one of the most important human activities. Although the importance of agriculture may not be as readily apparent in certain nations as it is in others, the truth remains that every nation on the planet is dependent on agriculture in some form or another. Agriculture is the source of a significant portion of the world's raw resources, including cotton, sugar, timber, and palm oil, amongst other things [18] . These items are vital in large sectors in ways that the majority of people are completely unaware of, such as medications, diesel fuel, plastics, and a variety of other industries. Raw resources are essential to the  \nmanufacturing process; as a result, the economic well-being of a nation is heavily dependent on the quantity of raw materials available within its borders. Because of its significance to worldwide business: The majority of agriculturally produc","cbCaitT8PH1mppP5","https://ap.wps.com/l/cbCaitT8PH1mppP5","pdf",615548,1,9,"English","en",105,"# Abstract\n# Introduction","[{\"question\":\"Why is weather forecasting important for crop cultivation?\",\"answer\":\"Crop expansion and maturation depend heavily on climate factors like wind speed, temperature, rainfall, and humidity. Predicting weather before cultivation helps farmers make beneficial decisions.\"},{\"question\":\"Which machine learning approach is highlighted for crop yield prediction?\",\"answer\":\"The document focuses on predicting crop yield using an LSTM model based on predicted weather data.\"},{\"question\":\"What climate features are used to influence crop production in the study?\",\"answer\":\"The key local climate factors mentioned are wind speed, temperature, rainfall, and humidity, which are treated as drivers of crop advancement or failure.\"}]","Machine Learning Based Crop Prediction on Region Wise Weather Data | PDF",1785679501,23,{"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},"machine-learning-based-crop-prediction-on-region-wise-weather-data","",{"@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/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/machine-learning-based-crop-prediction-on-region-wise-weather-data/117779/",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","2026-08-02",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},"Why is weather forecasting important for crop cultivation?","Question",{"text":75,"@type":76},"Crop expansion and maturation depend heavily on climate factors like wind speed, temperature, rainfall, and humidity. Predicting weather before cultivation helps farmers make beneficial decisions.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which machine learning approach is highlighted for crop yield prediction?",{"text":80,"@type":76},"The document focuses on predicting crop yield using an LSTM model based on predicted weather data.",{"name":82,"@type":73,"acceptedAnswer":83},"What climate features are used to influence crop production in the study?",{"text":84,"@type":76},"The key local climate factors mentioned are wind speed, temperature, rainfall, and humidity, which are treated as drivers of crop advancement or failure.","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},[93,97,101,105,110,115,120,123,127,130,134],{"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":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},"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"]