[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-126461-en":3,"doc-seo-126461-105":31,"detail-sidebar-cat-0-en-105":85},{"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},126461,962084925290,"Ophelia","https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45",8,"Research & Report","Classification of Pumpkin Seeds Using Machine Learning Techniques - Random Forest Model Results","Accurate and efficient seed classification supports seed quality control and improves crop production optimization as demand for healthy, high-quality agricultural inputs continues to grow. Pumpkin seeds, valued for high oil content and rich nutrition, include key Turkish varieties such as “ÜrgüpSivrisi” and “Çerçevelik.” This study uses morphological measurements from 2500 seeds and evaluates six machine learning classifiers—Logistic Regression, SVM, Random Forest, k-NN, Decision Tree, and Naive Bayes—to determine the most effective approach.","International Journal of Computer Science & Communications  \nVol. 9, No. 1, 2024, pp. 1-13  \n[http://ijcsc.ielas.org/index.php/ijcsc](http://ijcsc.ielas.org/index.php/ijcsc)  \nISSN: 2545-4153  \n\n| CLASSIFICATION OF PUMPKIN SEEDS USING MACHINE\u003Cbr>LEARNING TECHNIQUES\u003Cbr>Mehr Ali Qasimi\u003Cbr>Selçuk University Institute of Science and Technology, BilişimTechnologjılerıMühendisliği, Konya, Türkiye\u003Cbr>E-mail: [q.mehrali@yahoo.com](q.mehrali@yahoo.com)\u003Cbr>Received: 2024-05-13 Accepted: 2024-06-10 Published online: 2024-06-13 |\n| --- |\n| Abstract\u003Cbr>Accurate and effective seed classification techniques are crucial for seed quality control and crop production optimization, as the need for healthy, high-quality seeds in agriculture continues to rise. With their high oil content and excellent nutritional value, pumpkin seeds are one of the main oil crops. A key component of precision breeding and variety enhancement is the identification and gathering of various pumpkin germplasm resources. Due to its sufficient amounts of protein, fat, carbohydrates, and minerals, pumpkin seeds are eaten raw, roasted, marinated, and sweetened as a dessert around the world. Thus, \"UrğüpSivrisi\" and \"Çerçevelik,\" the two most significant and highquality varieties of pumpkin seeds, which are often grown in Turkey's Ügrüp and Karacaören region, were the subject of this study. Nevertheless, measurements of 2500 morphological seeds of both types were achievable through the use of threshold approaches in their gray and binary forms. In order to identify the most effective technique for categorizing pumpkin seed varieties, all the data were modeled using six different machine learning techniques that took morphological features into account: Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), kNearest Neighbor (k-NN), Decision Tree Classifier (DT), and Naive Bayes Algorithm (NV) . A total of 87.06 percent for LR, 88 percent for SVM, 88.2 percent for RF, 87 percent for k-NN, 87 percent for DT and 86 for NV were the classifiers’ accuracy rates. The results have demonstrated that the proposed Random Forest classification Algorithm achieved a satisfactory overall accuracy of 88.2.\u003Cbr>Keywords: Machine Learning, Pumpkin seeds, Support Vector Machine Classification, Logistic Regression, Random Forest Classification and other Classification Algorithms. |\n\nI. INTRODUCTION  \nOur work is in the Pumpkin Seeds Dataset, where we classified pumpkin seeds using several machine learning classification algorithms. Cucurbit crops, such as pumpkins, can be planted in a multitude of ways and using a diverse range of resources. It will significantly boost the edible oil industry and raise the added value of pumpkin if highyielding pumpkin germplasm resources are unearthed. Furthermore, the great nutritional value and significant research value of pumpkin seeds can be attributed to their abundance in proteins, amino acids, and trace elements [1] . The Cucurbitaceae family includes pumpkin. Many cultivars are grown all over the world, but Cucurbitamoschata, C. maxima, C. pepo, and C. mixta are the most commercially significant species [2] .  \nInternational Journal of Computer Science & Communications  \nVol. 9, No. 1, 2024, pp. 1-13  \n[http://ijcsc.ielas.org/index.php/ijcsc](http://ijcsc.ielas.org/index.php/ijcsc)  \nISSN: 2545-4153  \nThe most significant cultivar in Tropical America, namely in Mexico and Central America, is C. moschata. Conversely, C. maxima is thought to be one of the oldest varieties, having been grown in South America from pre-Columbian times [3] . C. pepo, which produces 41612 tons of pumpkin annually, is the most popular species of pumpkin farmed in Turkey [4] . Turkey is a nation located in the Mediterranean region's northern shore. In the Mediterranean region, agriculture is the main user of freshwater. Given its location in the Middle East, Turkey possesses vital and scarce water resources[5] . Even though pumpkin is grown all across the ","cbCair00LpeIBHtK","https://ap.wps.com/l/cbCair00LpeIBHtK","pdf",789664,6,1,13,"English","en",105,"# Abstract\n# Introduction\n## Pumpkin seeds and their agricultural value\n## Machine learning for agricultural classification","[{\"question\":\"Which machine learning algorithm achieves the best overall accuracy?\",\"answer\":\"Random Forest achieves the highest reported overall accuracy, with 88.2% in the study results.\"}]","Classification of Pumpkin Seeds Using Machine Learning Techniques - Random Forest Model Results | PDF",1785905184,33,{"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":80,"head_meta":82,"extra_data":84,"updated_unix":29},"classification-of-pumpkin-seeds-using-machine-learning-techniques-random-forest-model-results","",{"@graph":37,"@context":79},[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/classification-of-pumpkin-seeds-using-machine-learning-techniques-random-forest-model-results/126461/",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],{"name":74,"@type":75,"acceptedAnswer":76},"Which machine learning algorithm achieves the best overall accuracy?","Question",{"text":77,"@type":78},"Random Forest achieves the highest reported overall accuracy, with 88.2% in the study results.","Answer","https://schema.org",{"og:url":53,"og:type":81,"og:title":13,"og:site_name":60,"og:description":14},"article",{"robots":83,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":86},[87,91,95,99,104,108,113,116,121,124,128],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":88,"show_sort_weight":89,"slug":90},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":92,"show_sort_weight":93,"slug":94},"Literature",80,"literature",{"id":54,"doc_module":4,"doc_module_name":47,"category_name":96,"show_sort_weight":97,"slug":98},"Exam",70,"exam",{"id":100,"doc_module":4,"doc_module_name":47,"category_name":101,"show_sort_weight":102,"slug":103},5,"Comic",60,"comic",{"id":20,"doc_module":4,"doc_module_name":47,"category_name":105,"show_sort_weight":106,"slug":107},"Technology",50,"technology",{"id":109,"doc_module":4,"doc_module_name":47,"category_name":110,"show_sort_weight":111,"slug":112},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":114,"slug":115},30,"research-report",{"id":117,"doc_module":4,"doc_module_name":47,"category_name":118,"show_sort_weight":119,"slug":120},9,"Religion & Spirituality",20,"religion-spirituality",{"id":119,"doc_module":4,"doc_module_name":47,"category_name":122,"show_sort_weight":119,"slug":123},"World Cup","world-cup",{"id":125,"doc_module":4,"doc_module_name":47,"category_name":126,"show_sort_weight":125,"slug":127},10,"Lifestyle","lifestyle",{"id":129,"doc_module":4,"doc_module_name":47,"category_name":130,"show_sort_weight":100,"slug":131},19,"General","general"]