{"id":12283,"date":"2026-06-09T16:30:17","date_gmt":"2026-06-09T09:30:17","guid":{"rendered":"https:\/\/www.mtec.or.th\/tiis\/?p=12283"},"modified":"2026-06-09T16:31:56","modified_gmt":"2026-06-09T09:31:56","slug":"optimal-crop-pattern-for-the-maximum-net-income-using-linear-optimization-in-mae-chaem-district-chiang-mai-province","status":"publish","type":"post","link":"https:\/\/www.mtec.or.th\/tiis\/optimal-crop-pattern-for-the-maximum-net-income-using-linear-optimization-in-mae-chaem-district-chiang-mai-province\/","title":{"rendered":"Optimal Crop Pattern for the Maximum Net Income Using Linear Optimization in Mae Chaem District, Chiang Mai Province"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"12283\" class=\"elementor elementor-12283\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-aaaa9a4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"aaaa9a4\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-98e079b\" data-id=\"98e079b\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f0778d8 elementor-widget elementor-widget-spacer\" data-id=\"f0778d8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f2e8af3 elementor-widget elementor-widget-heading\" data-id=\"f2e8af3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">\u0e40\u0e2d\u0e01\u0e2a\u0e32\u0e23\u0e17\u0e32\u0e07\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9a80127 elementor-widget elementor-widget-spacer\" data-id=\"9a80127\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d1b74ad elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d1b74ad\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-8755eeb\" data-id=\"8755eeb\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-d4cb4d0\" data-id=\"d4cb4d0\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f087ef4 elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"f087ef4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"350\" height=\"233\" src=\"https:\/\/www.mtec.or.th\/tiis\/wp-content\/uploads\/2026\/06\/2022Publication.jpg\" class=\"attachment-full size-full wp-image-12285\" alt=\"\" srcset=\"https:\/\/www.mtec.or.th\/tiis\/wp-content\/uploads\/2026\/06\/2022Publication.jpg 350w, https:\/\/www.mtec.or.th\/tiis\/wp-content\/uploads\/2026\/06\/2022Publication-300x200.jpg 300w\" sizes=\"(max-width: 350px) 100vw, 350px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-65af3c8\" data-id=\"65af3c8\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0c4e453 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"0c4e453\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h4>Optimal Crop Pattern for the Maximum Net Income Using Linear Optimization in Mae Chaem District, Chiang Mai Province<\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9c8005e elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"9c8005e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h4>\u0e1b\u0e35 2022\u00a0 |\u00a0 \u0e40\u0e2d\u0e01\u0e2a\u0e32\u0e23\u0e17\u0e32\u0e07\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23<\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-23feea86 elementor-widget elementor-widget-text-editor\" data-id=\"23feea86\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Whilst the world population is increasing, consequently, the demand for food and agricultural products also raised. Farmers turn to monoculture for high the productivity of agricultural products with limited arable land and capital for gaining better income; however, farmers still have low incomes. Therefore, evaluating the potential of agricultural spatial is one of the significant factors influencing agricultural productivity also the income of farmers such as crop pattern, agricultural practice, and material used for the cultivation with the most efficient use of limited resources. This research is to propose an appropriate crop pattern based on plant spacing for allocating plantation areas through Linear Optimization technique in agroforestry, which five plant groups are composed of soil-improving crops, fruit crops, vegetables and herbs, cash crops and forests, for the optimization of farm productivity in 1 rai (1 rai = 0.16 hectares) of the arable area by determining the net income. The results have shown that the optimal agricultural pattern (Pattern 1) for planting the soil-improving crops, fruit crops and cash crops throughout the area, while forest, vegetables and herbs are around area. This pattern provides the numbers of crop tress for each type with maximum farmer&#8217;s income.<\/p><p>For further information, please download <a href=\"https:\/\/doi.org\/10.14456\/tjst.2021.39\">[Click]<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-b710e58\" data-id=\"b710e58\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5102bb16 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5102bb16\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-58ebff7\" data-id=\"58ebff7\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fd26909 elementor-widget elementor-widget-spacer\" data-id=\"fd26909\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The purpose of this study was to investigate the best ratio of waste foundry sand (WFS), fly ash (FA), and electric arc furnace slag (EAF slag) for the production of geopolymer bricks. In this research study, WFS, FA, and EAF slag were mixed at the ratio of 70:30:0, 60:30:10, 50:30:20, and 40:30:30 with 8M sodium hydroxide (NaOH) and 98% purity sodium silicate (Na2SiO3) with a ratio of Na2SiO3\/8M NaOH = 2.5. The mixtures were compacted in 5 cm \u00d7 5 cm x 5 cm molds and cured at an ambient temperature for 28 days. Then, their compressive strength was analyzed. The results showed that the geopolymer bricks with the highest compressive strength were those mixed at the 40:30:30 ratio, with a compressive strength of 25.76 MPa.<\/p>\n","protected":false},"author":3,"featured_media":12285,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[236],"tags":[],"class_list":["post-12283","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-academic-paper"],"_links":{"self":[{"href":"https:\/\/www.mtec.or.th\/tiis\/wp-json\/wp\/v2\/posts\/12283","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mtec.or.th\/tiis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mtec.or.th\/tiis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mtec.or.th\/tiis\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mtec.or.th\/tiis\/wp-json\/wp\/v2\/comments?post=12283"}],"version-history":[{"count":5,"href":"https:\/\/www.mtec.or.th\/tiis\/wp-json\/wp\/v2\/posts\/12283\/revisions"}],"predecessor-version":[{"id":12289,"href":"https:\/\/www.mtec.or.th\/tiis\/wp-json\/wp\/v2\/posts\/12283\/revisions\/12289"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.mtec.or.th\/tiis\/wp-json\/wp\/v2\/media\/12285"}],"wp:attachment":[{"href":"https:\/\/www.mtec.or.th\/tiis\/wp-json\/wp\/v2\/media?parent=12283"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mtec.or.th\/tiis\/wp-json\/wp\/v2\/categories?post=12283"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mtec.or.th\/tiis\/wp-json\/wp\/v2\/tags?post=12283"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}