{"id":2566,"date":"2020-06-27T04:55:13","date_gmt":"2020-06-27T04:55:13","guid":{"rendered":"http:\/\/agri-research-journal.net\/SjarEn\/?p=2566"},"modified":"2020-06-27T04:55:13","modified_gmt":"2020-06-27T04:55:13","slug":"predicting-the-quantity-of-agricultural-wastes-using-weka-%e2%80%8eapplication","status":"publish","type":"post","link":"https:\/\/agri-research-journal.net\/SjarEn\/?p=2566","title":{"rendered":"Predicting the Quantity of Agricultural Wastes Using WEKA \u200eApplication"},"content":{"rendered":"\n<p class=\"has-text-align-center\"><strong>Abdulwahed M<\/strong><strong>.<\/strong><strong> <\/strong><strong>Aboukarima<sup>*(1,2)<\/sup>\nSamy G. Hemeda<sup>(2) <\/sup>Mohamed<\/strong><strong> S. El<\/strong><strong>&#8211;<\/strong><strong> Marazky<sup>(2)<\/sup><\/strong><strong> Riham El<\/strong><strong>_Oliemy<sup>(2)<\/sup><\/strong><strong><sup> <\/sup><\/strong><strong>and\nIbrahim S. Tabash<sup>(1)<\/sup><\/strong><\/p>\n\n\n\n<p>(1).\nDepartment of Agricultural Engineering, Faculty of Food Sciences, King Saud\nUniversity, Riyadh, Saudi Arabia.<\/p>\n\n\n\n<p>(2). Agricultural Engineering Research\nInstitute, Agricultural Research Centre, Giza, Egypt<\/p>\n\n\n\n<p>(*Corresponding author: Dr. Abdulwahed M. Aboukarima. E-Mail: <a href=\"mailto:aboukarima@gmail.com\">aboukarima@gmail.com<\/a>)<\/p>\n\n\n\n<p class=\"has-text-align-center\">Received: 29\/03\/2020&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Accepted: 06\/06\/2020<\/p>\n\n\n\n<p class=\"has-text-align-center\"><strong>Abstract<\/strong><\/p>\n\n\n\n<p>In this study, a comparison was made between data mining tools\nin WEKA open source computer application to predict the amount of agricultural\nwastes in Egypt from the year 2006 to 2016. The amount of wastes was calculated\naccording to the method presented in the Arab Organization for Agricultural\nDevelopment (AOAD). The results showed that the lowest amount of wastes was\n13.57 million tons\/year and the largest amount was 17.90 million tons\/year. The\nresults revealed that the data mining tool called Decision Table was the best\ntool for predicting the amount of agricultural wastes. The predicted lowest and\nthe largest means were 2502.17 and 3579.66 thousand tons\/year, respectively,\nwhile the mean actual value in the test data set was 3300.06 thousand\ntons\/year. The study recommended that adequate attention was directed to\nforecast agricultural wastes amounts, as these wastes can be managed and\nutilized in the production of energy, compost or animal feed.<\/p>\n\n\n\n<p><strong>Key words:<\/strong> Machine learning, Agricultural wastes, Modeling, Environment.<\/p>\n\n\n\n<p>Full paper in Arabic: <a href=\"http:\/\/agri-research-journal.net\/sjar\/wp-content\/uploads\/2020\/06\/v7n3p13.pdf\">PDF<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Abdulwahed M. Aboukarima*(1,2) Samy G. Hemeda(2) Mohamed S. El&#8211; Marazky(2) Riham El_Oliemy(2) and Ibrahim S. Tabash(1) (1). Department of Agricultural Engineering, Faculty of Food Sciences, King Saud University, Riyadh, Saudi Arabia. (2). Agricultural Engineering Research Institute, Agricultural Research Centre, Giza, &hellip; <a href=\"https:\/\/agri-research-journal.net\/SjarEn\/?p=2566\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,1137],"tags":[1188,1187,1189],"class_list":["post-2566","post","type-post","status-publish","format-standard","hentry","category-crops","category-v7n3june-2020","tag-agricultural-wastes","tag-machine-learning","tag-modeling"],"_links":{"self":[{"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/posts\/2566","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2566"}],"version-history":[{"count":1,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/posts\/2566\/revisions"}],"predecessor-version":[{"id":2567,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/posts\/2566\/revisions\/2567"}],"wp:attachment":[{"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2566"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2566"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2566"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}