[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-121163-en":3,"doc-seo-121163-105":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":20,"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},121163,687197207639,"Asher","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",8,"Research & Report","Forecasting livestock feed sales using machine learning techniques: an analysis of the Moroccan market - Research report","Agriculture, especially cereal production, underpins food security and national economies, making reliable demand planning essential for feed producers and supply-chain performance. This study examines Moroccan livestock feed sales by combining market sales records (dates and locations) with climate variables, then training multiple regression models. The gradient boosting regression (GBR) approach delivers high predictive accuracy, with MAE 0.0203 and RMSE 0.0281. Results demonstrate that weather conditions, production context, and livestock-related factors jointly improve sales forecasting, supporting efficient decision-making in agribusiness.","Indonesian Journal of Electrical Engineering and Computer Science  \nVol. 35, No. 2, August 2024, pp. 1139~ 1150  \nISSN: 2502-4752, DOI: 10. 11591/ijeecs.v35 . i2 .pp1139-1150 􀂈 1139  \n\n| Forecasting livestock feed sales using machine learning techniques: an analysis of the Moroccan market\u003Cbr>Mohamed Amine Nebri1, Abdellatif Moussaid2, Belaid Bouikhalene1\u003Cbr>1LIMATI Laboratory, Polydisciplinary Faculty, Sultan Moulay Slimane University, Beni Mellal, Morocco 2ENSIAS, Mohammed V University in Rabat, Rabat, Morocco |  |\n| --- | --- |\n| Article Info\u003Cbr>Article history:\u003Cbr>Received Feb 25, 2024 Revised Mar 22, 2024 Accepted Apr 6, 2024\u003Cbr>Keywords:\u003Cbr>Climate\u003Cbr>Fodder Livestock Machine learning Sales prediction\u003Cbr>Corresponding Author: | ABSTRACT\u003Cbr>Agriculture, especially cereals, is important in sustaining economies and food security globally. This study delves into the Moroccan agricultural landscape, specifically focusing on predicting livestock feed sales to assist cereal company producers in optimizing production, streamlining supply chain operations, and enhancing customer satisfaction. Data collected from various markets across Morocco, including sales dates and locations, was combined with climate data and analyzed using advanced machine learning techniques, particularly the gradient boosting regression (GBR) algorithm, which achieved high accuracy with a mean absolute error (MAE) of 0.0203 and a root mean square error (RMSE) of 0.0281. The evaluation of multiple regression models revealed promising results, demonstrating the effectiveness of predictive models in accurately forecasting sales. These findings contribute valuable insights to sales forecasting in the cereal industry by considering weather conditions, production methods, and livestock-related variables, highlighting the importance of leveraging advanced machine learning techniques for optimizing production processes and meeting market demands efficiently in the agribusiness sector.\u003Cbr>This is an open access article under the CC BY-SA license.\u003Cbr> |\n| Mohamed Amine Nebri\u003Cbr>LIMATI Laboratory, Polydisciplinary Faculty, Sultan Moulay Slimane University Beni Mellal, Morocc\u003Cbr>[Email: mohamedamine.nebrifpb@usms.ac.ma](Email: mohamedamine.nebrifpb@usms.ac.ma) |  |\n\n1. INTRODUCTION  \nAgriculture, encompasses the cultivation of crops, the husbandry of livestock, and the production of sustenance for human consumption [1] . It not only guarantees food security but also fosters the development of rural areas and mitigates socioeconomic disparity. Fodder is one of the key products within agricultural systems, playing an essential role in global animal food [2] . However, the dynamics of livestock feed sales are closely related to a variety offactors with significant influence.  \nCereal sales are subject to many interconnected variables [3], among which livestock consumption patterns play an important role [4] . Livestock serves not only as a source of meat but also as a consumer of cereals, with consumption patterns varying based on factors such as the size and quantity of livestock [5] . For instance, larger animals like cows typically consume more cereals compared to smaller ones like goats or sheep [6] . Additionally, the demand for specific types of fodder fluctuates based on factors like livestock size and age, further influencing the supply-demand dynamics within the agricultural market [7] .  \nMoreover, fodder sales are influenced by climate conditions [8] . In regions that endure extended periods of drought or inadequate rainfall, there is typically a reduction in pasture growth and availability of forage, as highlighted by Ouédraogo et al. [9] in West Africa, typically observed. As elucidated by Abdi et al. [10], the scarcity of natural feed prompts farmers to explore supplementary feed options for their  \nlivestock, necessitating the adoption of enhanced forage technologies and feed conservation techniques. Consequently, the demand for commercially produced feed ","cbCaiboaxSRKIuIZ","https://ap.wps.com/l/cbCaiboaxSRKIuIZ","pdf",662007,1,12,"English","en",105,"# Introduction\n## Role of agriculture and fodder in food security\n## Drivers of fodder and cereal demand\n## Climate impact on feed sales dynamics\n## Imports and market supply effects\n## Use of AI and regression models in agricultural forecasting","[{\"question\":\"What data sources are used to forecast livestock feed sales in Morocco?\",\"answer\":\"The study combines market sales records across Morocco, including sales dates and locations, with climate data.\"},{\"question\":\"Which machine learning model performs best and how is it evaluated?\",\"answer\":\"Gradient boosting regression (GBR) achieves strong accuracy, evaluated using MAE (0.0203) and RMSE (0.0281).\"},{\"question\":\"Why do climate conditions matter for feed sales forecasting?\",\"answer\":\"Climate affects pasture growth and forage availability, altering reliance on purchased feed and causing corresponding fluctuations in sales volumes.\"}]","Forecasting livestock feed sales using machine learning techniques: an analysis of the Moroccan market - Research report | PDF",1785734162,30,{"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},"forecasting-livestock-feed-sales-using-machine-learning-techniques-an-analysis-of-the-moroccan-market-research-report","",{"@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/forecasting-livestock-feed-sales-using-machine-learning-techniques-an-analysis-of-the-moroccan-market-research-report/121163/",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","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What data sources are used to forecast livestock feed sales in Morocco?","Question",{"text":75,"@type":76},"The study combines market sales records across Morocco, including sales dates and locations, with climate data.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which machine learning model performs best and how is it evaluated?",{"text":80,"@type":76},"Gradient boosting regression (GBR) achieves strong accuracy, evaluated using MAE (0.0203) and RMSE (0.0281).",{"name":82,"@type":73,"acceptedAnswer":83},"Why do climate conditions matter for feed sales forecasting?",{"text":84,"@type":76},"Climate affects pasture growth and forage availability, altering reliance on purchased feed and causing corresponding fluctuations in sales volumes.","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},[93,97,101,105,110,115,120,122,127,130,134],{"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":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":29,"slug":121},"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"]