Running a virtual prototype experiment to test precision feeding systems\u00a0can achieve\u00a0instant results for low costs. An agent based model makes it possible to evaluate, design and test a precision feeding system\u00a0while avoiding investment in\u00a0physical construction. Each component of a virtual feeding system is made into its own software that has parameters,\u00a0each piece of\u00a0software is considered an agent. Each agent has its own limitations and can communicate and make requests from other agents by a high-level agent communication language. All the agents\u00a0are combined in a multi-unit system which simulates the\u00a0presision feeding system as a whole. The multiple agents collaborating and communicating together make up the operational capacity of the\u00a0virtual prototype. Understanding\u00a0parameters and workload capacity of the simulation model helps understand the\u00a0workload\u00a0capabilities of the real system and can help design the new\u00a0feeding system. Agent based model allows for design\u00a0alterations\u00a0to be preformed\u00a0and potentially\u00a0put into practice in the real mechanism if proven to work. It is possible to evaluate testing immediately after a system has been built avoiding lag and time investment involved with physical testing, this is an advantage of the virtual system.<\/p>\n
<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Running a virtual prototype experiment to test precision feeding systems\u00a0can achieve\u00a0instant results for low costs. An agent based model makes it possible to evaluate, design and test a precision feeding system\u00a0while avoiding investment in\u00a0physical construction. Each component of a virtual feeding system is made into its own software that has parameters,\u00a0each piece of\u00a0software is considered […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[19,14948],"tags":[17756,2854,2858,6784,17135,583,17170,46,108,7863,17140,20007,19507,2574,17171,17134,20911,18011,2481],"class_list":["post-12831","post","type-post","status-publish","format-standard","hentry","category-pork-insight-articles","category-swine-innovation-pork-insight-articles","tag-agent-based-simulation-framework-for-virtual-prototyping-of-advanced-livestock-precision-feeding-systems","tag-bin","tag-capacity","tag-cos","tag-cost-of-preweaning-piglets","tag-costs","tag-development-of-sustainable-precision-farming-systems-for-swine","tag-feed","tag-feeding","tag-feeding-system","tag-french-translation","tag-gh","tag-lang","tag-precision","tag-precision-feeding","tag-preweaning-piglets","tag-t","tag-tot","tag-work"],"_links":{"self":[{"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/posts\/12831","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/comments?post=12831"}],"version-history":[{"count":9,"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/posts\/12831\/revisions"}],"predecessor-version":[{"id":12837,"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/posts\/12831\/revisions\/12837"}],"wp:attachment":[{"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/media?parent=12831"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/categories?post=12831"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/tags?post=12831"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}