{"id":10617,"date":"2024-07-13T20:50:45","date_gmt":"2024-07-13T18:50:45","guid":{"rendered":"https:\/\/geopard.tech\/?p=10617"},"modified":"2024-07-13T20:50:51","modified_gmt":"2024-07-13T18:50:51","slug":"5g-reallaika-macisanas-ilgtspejiga-lauksaimnieciba-petijums-par-cukurbiesu-audzesanu","status":"publish","type":"post","link":"https:\/\/geopard.tech\/lv\/blog\/5g-enabled-real-time-learning-in-sustainable-farming-a-study-on-sugar-beet-production\/","title":{"rendered":"5G-iesp\u0113jama re\u0101llaika m\u0101c\u012b\u0161an\u0101s ilgtsp\u0113j\u012bg\u0101 lauksaimniec\u012bb\u0101: P\u0113t\u012bjums par cukurbiet\u0113m"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Ar prieku pazi\u0146ojam par projekta \u201c5G t\u012bkli k\u0101 re\u0101llaika m\u0101c\u012b\u0161an\u0101s veicin\u0101t\u0101js ilgtsp\u0113j\u012bg\u0101 lauksaimniec\u012bb\u0101\u201d veiksm\u012bgu pabeig\u0161anu, ko da\u013c\u0113ji atbalst\u012bja Zieme\u013creinas-Vestf\u0101lenes Ekonomikas, r\u016bpniec\u012bbas, klimata pas\u0101kumu un ener\u0123\u0113tikas ministrija.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img decoding=\"async\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/08\/image-2.png?w=1620&amp;ssl=1\" alt=\"\"\/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0160\u012b iniciat\u012bva ir noz\u012bm\u012bgs solis uz priek\u0161u, lai izp\u0113t\u012btu 5G tehnolo\u0123iju p\u0101rveides potenci\u0101lu lauksaimniec\u012bb\u0101, jo \u012bpa\u0161i ar m\u0113r\u0137i uzlabot cukurbie\u0161u audz\u0113\u0161anas ekolo\u0123iskos, ekonomiskos un ilgtsp\u0113j\u012bgos aspektus.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">T\u0101 izmantoja 5G zemo latentumu, lai integr\u0113tu modernas inform\u0101cijas tehnolo\u0123iju sist\u0113mas re\u0101llaik\u0101, \u013caujot nekav\u0113joties rea\u0123\u0113t uz sensoru un pozicion\u0113\u0161anas datiem iepriek\u0161 noteiktos termi\u0146os.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" width=\"624\" height=\"386\" data-attachment-id=\"10624\" data-permalink=\"https:\/\/geopard.tech\/lv\/blog\/5g-enabled-real-time-learning-in-sustainable-farming-a-study-on-sugar-beet-production\/picture-from-the-final-event-of-the-project-presentation-at-hochschule-hamm-lippstadt-hshl\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Picture-from-the-final-event-of-the-project-presentation-at-Hochschule-Hamm-Lippstadt-HSHL.png?fit=624%2C386&amp;ssl=1\" data-orig-size=\"624,386\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Picture from the final event of the project presentation at Hochschule Hamm-Lippstadt (HSHL)\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Picture-from-the-final-event-of-the-project-presentation-at-Hochschule-Hamm-Lippstadt-HSHL.png?fit=624%2C386&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Picture-from-the-final-event-of-the-project-presentation-at-Hochschule-Hamm-Lippstadt-HSHL.png?resize=624%2C386&#038;ssl=1\" alt=\"Att\u0113ls no projekta prezent\u0101cijas nosl\u0113guma pas\u0101kuma Hochschule Hamm-Lippstadt (HSHL).\" class=\"wp-image-10624\" style=\"width:836px;height:auto\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Picture-from-the-final-event-of-the-project-presentation-at-Hochschule-Hamm-Lippstadt-HSHL.png?w=624&amp;ssl=1 624w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Picture-from-the-final-event-of-the-project-presentation-at-Hochschule-Hamm-Lippstadt-HSHL.png?resize=300%2C186&amp;ssl=1 300w\" sizes=\"(max-width: 624px) 100vw, 624px\" \/><figcaption class=\"wp-element-caption\">Att\u0113ls no projekta prezent\u0101cijas nosl\u0113guma pas\u0101kuma Hochschule Hamm-Lippstadt (HSHL).<\/figcaption><\/figure>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-project-focus-and-partnership\">Projekta fokuss un partner\u012bba<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Sadarb\u012bb\u0101 ar HSHL partneriem un ar Pfeifer &amp; Langen atbalstu projekta m\u0113r\u0137is bija izp\u0113t\u012bt visu cukurbie\u0161u audz\u0113\u0161anas dz\u012bves ciklu partneriem piedero\u0161ajos laukos. T\u0101 m\u0113r\u0137is bija par\u0101d\u012bt, k\u0101 5G var kalpot k\u0101 galvenais tehnolo\u0123iju katalizators Zieme\u013creinas-Vestf\u0101lenes lauksaimniec\u012bbas nozar\u0113, demonstr\u0113jot t\u0101s potenci\u0101lu k\u0101 inov\u0101ciju un efektivit\u0101tes veicin\u0101t\u0101ju.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-role-of-geopard-agriculture\">GeoPard loma lauksaimniec\u012bb\u0101<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Uz\u0146\u0113mumam GeoPard Agriculture bija iz\u0161\u0137iro\u0161a loma projekta galveno aspektu defin\u0113\u0161an\u0101 un \u012bsteno\u0161an\u0101, tostarp augu noteik\u0161anas, uzraudz\u012bbas un ra\u017eo\u0161anas prognoz\u0113\u0161anas scen\u0101riju izstr\u0101d\u0113. M\u0113s izstr\u0101d\u0101j\u0101m m\u0101ksl\u012bg\u0101 intelekta sist\u0113mas prototipu, kas piel\u0101gots 5G lauksaimniec\u012bbas videi, izpild\u012bj\u0101m mode\u013cus m\u0101ko\u0146a infrastrukt\u016br\u0101 un izveidoj\u0101m mobilo lietojumprogrammu re\u0101llaika mijiedarb\u012bbai ar m\u0101ko\u0146a mode\u013ciem.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-technological-integration\">Tehnolo\u0123isk\u0101 integr\u0101cija<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">M\u0101ksl\u012bg\u0101 intelekta (AI) metodes tika izv\u0113rstas, izmantojot sp\u0113c\u012bgu m\u0101ko\u0146a infrastrukt\u016bru ar liel\u0101m skait\u013co\u0161anas iesp\u0113j\u0101m. M\u0101ksl\u012bg\u0101 intelekta algoritmi re\u0101llaik\u0101 klasific\u0113ja augus katr\u0101 krusto\u0161anas reiz\u0113 un uzraudz\u012bja to aug\u0161anu vis\u0101 to dz\u012bves cikl\u0101, nov\u0113r\u0161ot nevajadz\u012bgu lauka apmekl\u0113jumu nepiecie\u0161am\u012bbu tikai datu v\u0101k\u0161anas nol\u016bk\u0101.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0160is uzlabojums \u013c\u0101va prec\u012bzi lietot m\u0113slo\u0161anas un augu aizsardz\u012bbas l\u012bdzek\u013cus, dinamiski piel\u0101gojot lieto\u0161anas devas \u0161\u0137\u0113rso\u0161anas laik\u0101, izmantojot ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s algoritmus.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-deployment-of-unmanned-vehicles\">Bezpilota transportl\u012bdzek\u013cu izvieto\u0161ana<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Turkl\u0101t projekt\u0101 tika izmantots 5G samazin\u0101tais latentums, lai izvietotu bezpilota transportl\u012bdzek\u013cus iek\u0101rtu uzraudz\u012bbai un datu v\u0101k\u0161anai. \u0160iem transportl\u012bdzek\u013ciem bija iz\u0161\u0137iro\u0161a noz\u012bme re\u0101llaika ieskatu apkopo\u0161an\u0101 un lauksaimniec\u012bbas prakses turpm\u0101kaj\u0101 optimiz\u0101cij\u0101.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-project-outcomes-enhancing-sugar-beet-production-with-5g-technology\">Projekta rezult\u0101ti: Cukurbie\u0161u ra\u017eo\u0161anas uzlabo\u0161ana ar 5G tehnolo\u0123iju<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Projekt\u0101 tika demonstr\u0113ts, k\u0101 5G tehnolo\u0123ija var kalpot k\u0101 p\u0101rveidojo\u0161s faktors Zieme\u013creinas-Vestf\u0101lenes lauksaimniec\u012bbas nozar\u0113, analiz\u0113jot visu cukurbie\u0161u audz\u0113\u0161anas dz\u012bves ciklu un izce\u013cot b\u016btiskus uzlabojumus, ko veicina 5G tehnolo\u0123ija. Tom\u0113r, lai efekt\u012bvi demonstr\u0113tu projekta rezult\u0101tus, p\u0113tnieki izmantoja darba paketes, kas ietv\u0113ra da\u017e\u0101dus scen\u0101rijus un infrastrukt\u016bras.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"810\" height=\"610\" data-attachment-id=\"10625\" data-permalink=\"https:\/\/geopard.tech\/lv\/blog\/5g-enabled-real-time-learning-in-sustainable-farming-a-study-on-sugar-beet-production\/sugar-beet-test-field\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-test-field.png?fit=2048%2C1542&amp;ssl=1\" data-orig-size=\"2048,1542\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Sugar beet test field\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-test-field.png?fit=1024%2C771&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-test-field.png?resize=810%2C610&#038;ssl=1\" alt=\"Cukurbie\u0161u izm\u0113\u0123in\u0101jumu lauks \" class=\"wp-image-10625\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-test-field.png?w=2048&amp;ssl=1 2048w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-test-field.png?resize=300%2C226&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-test-field.png?resize=1024%2C771&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-test-field.png?resize=768%2C578&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-test-field.png?resize=1536%2C1157&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-test-field.png?resize=400%2C300&amp;ssl=1 400w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-test-field.png?resize=200%2C150&amp;ssl=1 200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-test-field.png?resize=1200%2C904&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-test-field.png?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><figcaption class=\"wp-element-caption\">Cukurbie\u0161u izm\u0113\u0123in\u0101jumu lauks<\/figcaption><\/figure>\n<\/div>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-scenario-definition-considering-existing-geodata-and-ml-infrastructure\">Scen\u0101rija defin\u012bcija, \u0146emot v\u0113r\u0101 eso\u0161os \u0123eodatus un ML infrastrukt\u016bru<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Projekt\u0101 tika demonstr\u0113ts, k\u0101, integr\u0113jot 5G tehnolo\u0123iju, var uzlabot tradicion\u0101los cukurbie\u0161u ra\u017eo\u0161anas procesus. Galvenie m\u0113r\u0137i ietv\u0113ra:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Izstr\u0101d\u0101ti gatavi ievie\u0161anas scen\u0101riji iek\u0101rtu atpaz\u012b\u0161anai, uzraudz\u012bbai un ra\u017eo\u0161anas prognoz\u0113\u0161anai.<\/li>\n\n\n\n<li>Izstr\u0101d\u0101tas tehnisk\u0101s pras\u012bbas, kas nepiecie\u0161amas \u0161o scen\u0101riju sekm\u012bgai ievie\u0161anai.<\/li>\n\n\n\n<li>Identific\u0113ti un nov\u0113rt\u0113ti attiec\u012bgie ekolo\u0123iskie un ekonomiskie r\u0101d\u012bt\u0101ji, lai nov\u0113rt\u0113tu 5G t\u012bkla rad\u012bto pievienoto v\u0113rt\u012bbu.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u0160aj\u0101 posm\u0101 tika uzsv\u0113rta projekta ap\u0146em\u0161an\u0101s integr\u0113t modern\u0101k\u0101s tehnolo\u0123ijas ar eso\u0161o lauksaimniec\u012bbas praksi. \u0160\u012b arhitekt\u016bra izmantoja 5G t\u012bkla \u0101trgaitas savienojam\u012bbu, lai atvieglotu re\u0101llaika datu v\u0101k\u0161anu un apstr\u0101di starp malas ier\u012bc\u0113m un m\u0101koni. M\u0101ko\u0146a infrastrukt\u016bra nodro\u0161in\u0101ja b\u016btiskus resursus liela m\u0113roga m\u0101ksl\u012bg\u0101 intelekta mode\u013cu apm\u0101c\u012bbai un izv\u0113r\u0161anai, savuk\u0101rt m\u0101ksl\u012bg\u0101 intelekta platforma pied\u0101v\u0101ja sp\u0113c\u012bgus r\u012bkus mode\u013cu izstr\u0101dei un izv\u0113r\u0161anai. Lietojumprogrammu sl\u0101nis galalietot\u0101jiem sniedza no AI mode\u013ciem ieg\u016btas praktiskas atzi\u0146as, uzlabojot l\u0113mumu pie\u0146em\u0161anas iesp\u0113jas.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-machine-learning-and-ai-in-the-context-of-5g\">Ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s un m\u0101ksl\u012bgais intelekts 5G kontekst\u0101<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u0160aj\u0101 da\u013c\u0101 galven\u0101 uzman\u012bba tika piev\u0113rsta eso\u0161o ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s un m\u0101ksl\u012bg\u0101 intelekta sist\u0113mu piel\u0101go\u0161anai, lai t\u0101s atbilstu iepriek\u0161 izkl\u0101st\u012btajiem scen\u0101rijiem un attiec\u012bgi optimiz\u0113tu. Galvenie m\u0113r\u0137i ietv\u0113ra:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Defin\u0113t sist\u0113mas m\u0113r\u0137us un izstr\u0101d\u0101t sist\u0113mas arhitekt\u016bru.<\/li>\n\n\n\n<li>Apkopotie pamatdati m\u0101ksl\u012bg\u0101 intelekta mode\u013cu apm\u0101c\u012bbai un valid\u0113\u0161anai.<\/li>\n\n\n\n<li>Izveidota un anot\u0113ta piem\u0113rota datu b\u0101ze, kas piel\u0101gota augu identific\u0113\u0161anai un monitoringam.<\/li>\n\n\n\n<li>Integr\u0113ti m\u0101ksl\u012bg\u0101 intelekta mode\u013ci 5G t\u012bkla infrastrukt\u016br\u0101.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u0160aj\u0101 posm\u0101 iz\u0161\u0137iro\u0161a noz\u012bme bija malas ier\u012bc\u0113m, kas apr\u012bkotas ar mobilo t\u0101lru\u0146u SIM kart\u0113m, izmantojot 5G tehnolo\u0123iju. Tika r\u016bp\u012bgi uzraudz\u012bti galvenie veiktsp\u0113jas r\u0101d\u012bt\u0101ji (KPI), piem\u0113ram, latence vai end-to-end (E2E) latence. M\u0113r\u012bjumi ietv\u0113ra prec\u012bzi sa\u0146emto datu pake\u0161u uzticam\u012bbas un pieejam\u012bbas nov\u0113rt\u0113\u0161anu, k\u0101 ar\u012b lietot\u0101ju datu p\u0101rraides \u0101truma un maksim\u0101l\u0101 datu p\u0101rraides \u0101truma anal\u012bzi.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Turkl\u0101t pie\u0146\u0113mumi tika izdar\u012bti, pamatojoties uz UHD iz\u0161\u0137irtsp\u0113jas video straum\u0113\u0161anu MP4 form\u0101t\u0101, kas p\u0101rraid\u012bti, izmantojot p\u0101rraides vad\u012bbas protokolu (TCP). Izp\u0113t\u012btie iesp\u0113jamie risin\u0101jumi ietv\u0113ra optimiz\u0101ciju ar atsevi\u0161\u0137iem att\u0113liem, nevis nep\u0101rtraukt\u0101m video pl\u016bsm\u0101m, b\u0101zes optimiz\u0101cijas veik\u0161anu tie\u0161i galiek\u0101rt\u0101s un mode\u013ca kvantiz\u0101cijas meto\u017eu ievie\u0161anu, lai uzlabotu efektivit\u0101ti.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-cloud-infrastructure-and-aws-services\">M\u0101ko\u0146u infrastrukt\u016bra un AWS pakalpojumi<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Projekts liel\u0101 m\u0113r\u0101 balst\u012bj\u0101s uz m\u0101ko\u0146infrastrukt\u016bru, izmantojot AWS pakalpojumus, piem\u0113ram, Lambda, SageMaker, S3, CloudWatch un RDS, kam bija iz\u0161\u0137iro\u0161a noz\u012bme, nodro\u0161inot nepiecie\u0161amos resursus m\u0101ksl\u012bg\u0101 intelekta mode\u013cu apm\u0101c\u012bbai un izv\u0113r\u0161anai.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AWS Lambda tika izmantota efekt\u012bvai instan\u010du p\u0101rvald\u012bbai un lietojumprogrammu apkalpo\u0161anai, savuk\u0101rt AWS SageMaker atviegloja stabilu ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s cauru\u013cvadu izveidi. T\u0101di glab\u0101\u0161anas risin\u0101jumi k\u0101 S3, CloudWatch un RDS bija b\u016btiski ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s mode\u013cu un neironu t\u012bklu darb\u012bbai svar\u012bgo datu kopu un \u017eurn\u0101lu glab\u0101\u0161anai.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"800\" height=\"490\" data-attachment-id=\"10627\" data-permalink=\"https:\/\/geopard.tech\/lv\/blog\/5g-enabled-real-time-learning-in-sustainable-farming-a-study-on-sugar-beet-production\/aws-cloud-infrastructure\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/AWS-cloud-infrastructure.png?fit=800%2C490&amp;ssl=1\" data-orig-size=\"800,490\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"AWS cloud infrastructure\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/AWS-cloud-infrastructure.png?fit=800%2C490&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/AWS-cloud-infrastructure.png?resize=800%2C490&#038;ssl=1\" alt=\"AWS m\u0101ko\u0146a infrastrukt\u016bra\" class=\"wp-image-10627\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/AWS-cloud-infrastructure.png?w=800&amp;ssl=1 800w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/AWS-cloud-infrastructure.png?resize=300%2C184&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/AWS-cloud-infrastructure.png?resize=768%2C470&amp;ssl=1 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><figcaption class=\"wp-element-caption\">AWS m\u0101ko\u0146a infrastrukt\u016bra<\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">T\u0101d\u0113j\u0101di \u0161\u012b infrastrukt\u016bra atbalst\u012bja re\u0101llaika datu apstr\u0101des iesp\u0113jas, ko nodro\u0161ina 5G t\u012bkls.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-5g-network-latency\">5G t\u012bkla aizture<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">5G t\u012bkli tika izstr\u0101d\u0101ti, lai pan\u0101ktu \u012bpa\u0161i zemu latentumu, kas parasti ir no 1 l\u012bdz 10 milisekund\u0113m. \u0160\u012b latence atspogu\u013co laiku, kas nepiecie\u0161ams datu p\u0101rve\u0161anai starp mobilaj\u0101m ier\u012bc\u0113m un AWS serveriem, izmantojot 5G t\u012bklu. Kav\u0113\u0161anos ietekm\u0113ja ar\u012b ier\u012b\u010du specifisk\u0101s apstr\u0101des iesp\u0113jas, piem\u0113ram, fotogr\u0101fiju uz\u0146em\u0161anas un apstr\u0101des \u0101trums viedt\u0101lru\u0146os ar augstas veiktsp\u0113jas procesoriem.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Datu nos\u016bt\u012b\u0161anas \u0101trumu 5G t\u012bkl\u0101 un fotoatt\u0113la lielumu ietekm\u0113ja datu p\u0101rs\u016bt\u012b\u0161anas laiks uz AWS. AWS papildus veicin\u0101ja kav\u0113\u0161anos ar apstr\u0101des laikiem t\u0101diem uzdevumiem k\u0101 uz neironu t\u012bklu balst\u012bta noteik\u0161ana un segment\u0113\u0161ana, kas at\u0161\u0137\u012br\u0101s atkar\u012bb\u0101 no algoritma sare\u017e\u0123\u012bt\u012bbas un AWS pakalpojumu efektivit\u0101tes. P\u0113c apstr\u0101des rezult\u0101ti tika lejupiel\u0101d\u0113ti atpaka\u013c mobilaj\u0101s ier\u012bc\u0113s, ko ietekm\u0113ja 5G lejupiel\u0101des \u0101trums un rezult\u0101tu datu lielums.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-plant-recognition-using-ai\">Augu atpaz\u012b\u0161ana, izmantojot m\u0101ksl\u012bgo intelektu<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Augu atpaz\u012b\u0161anas jom\u0101 m\u0101ksl\u012bg\u0101 intelekta vad\u012btie procesi ietv\u0113ra visaptvero\u0161as augu att\u0113lu datub\u0101zes izveidi, lai apm\u0101c\u012btu algoritmus, kas balst\u012bti uz neironu t\u012bkliem. \u0160ie algoritmi tika apm\u0101c\u012bti at\u0161\u0137irt cukurbie\u0161u sugas no citiem augiem, atpaz\u012bstot konkr\u0113tajai augu sugai rakstur\u012bg\u0101s paz\u012bmes, piem\u0113ram, lapu formas, ziedu kr\u0101sas utt.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"810\" height=\"264\" data-attachment-id=\"10628\" data-permalink=\"https:\/\/geopard.tech\/lv\/blog\/5g-enabled-real-time-learning-in-sustainable-farming-a-study-on-sugar-beet-production\/phenological-development-of-sugar-beet-plants\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Phenological-development-of-sugar-beet-plants.jpg?fit=2048%2C667&amp;ssl=1\" data-orig-size=\"2048,667\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Phenological development of sugar beet plants\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Phenological-development-of-sugar-beet-plants.jpg?fit=1024%2C334&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Phenological-development-of-sugar-beet-plants.jpg?resize=810%2C264&#038;ssl=1\" alt=\"Cukurbie\u0161u augu fenolo\u0123isk\u0101 att\u012bst\u012bba\" class=\"wp-image-10628\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Phenological-development-of-sugar-beet-plants.jpg?w=2048&amp;ssl=1 2048w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Phenological-development-of-sugar-beet-plants.jpg?resize=300%2C98&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Phenological-development-of-sugar-beet-plants.jpg?resize=1024%2C334&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Phenological-development-of-sugar-beet-plants.jpg?resize=768%2C250&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Phenological-development-of-sugar-beet-plants.jpg?resize=1536%2C500&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Phenological-development-of-sugar-beet-plants.jpg?resize=1200%2C391&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Phenological-development-of-sugar-beet-plants.jpg?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><figcaption class=\"wp-element-caption\">Cukurbie\u0161u augu fenolo\u0123isk\u0101 att\u012bst\u012bba. Avots: <a href=\"https:\/\/www.mdpi.com\/2073-4395\/11\/7\/1277\" rel=\"nofollow\">https:\/\/www.mdpi.com\/2073-4395\/11\/7\/1277<\/a><\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">\u0160eit ar augu atpaz\u012b\u0161anu m\u0113s saprotam nez\u0101\u013cu noteik\u0161anas un cukurbie\u0161u augu segment\u0101cijas uzdevumu.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Nez\u0101\u013cu atkl\u0101\u0161ana<\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Nez\u0101\u013cu noteik\u0161anai projekt\u0101 tika izmantots MobileNet-v3, kas tika apm\u0101c\u012bts, izmantojot pla\u0161u datu papildin\u0101\u0161anu un sv\u0113rto paraugu \u0146em\u0161anu. \u0160is modelis sasniedza iespaid\u012bgu precizit\u0101ti 0,984 un AUC 0,998.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Cukurbie\u0161u segment\u0101cija<\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Segment\u0113\u0161anas uzdevumiem tika izmantoti t\u0101di mode\u013ci k\u0101 YOLACT, ResNeSt, SOLO un U-net, lai prec\u012bzi norobe\u017eotu atsevi\u0161\u0137us cukurbie\u0161u paraugus att\u0113los. P\u0113c tam tika izv\u0113l\u0113ts visefekt\u012bv\u0101kais modelis, pamatojoties uz da\u017e\u0101diem krit\u0113rijiem: \u0101trumu, secin\u0101jumu izdar\u012b\u0161anas laiku utt. Dati segment\u0113\u0161anai tika ieg\u016bti no dronu uz\u0146emtiem RGB att\u0113liem, kuru izm\u0113rs tika main\u012bts un kuri tika anot\u0113ti apm\u0101c\u012bbas un valid\u0101cijas vajadz\u012bb\u0101m.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Segment\u0113\u0161anas uzdevumos bija j\u0101izveido maskas, kas prec\u012bzi norobe\u017eo augu robe\u017eas. \u0160\u012b metode samazin\u0101ja cilv\u0113ka veikto anot\u0101ciju, vienlaikus optimiz\u0113jot efektivit\u0101ti. Pie\u0161\u0137irot priorit\u0101ti sare\u017e\u0123\u012btu paraugu mar\u0137\u0113\u0161anai, mode\u013ca veiktsp\u0113ja tika iev\u0113rojami uzlabota. Iterat\u012bv\u0101s p\u0101rkvalific\u0113\u0161anas un nenoteikt\u012bbas paraugu \u0146em\u0161anas strat\u0113\u0123ijas izr\u0101d\u012bj\u0101s efekt\u012bvas, pan\u0101kot segment\u0113\u0161anas precizit\u0101tes r\u0101d\u012bt\u0101jus, kas da\u017e\u0101dos aug\u0161anas posmos p\u0101rsniedza 98%.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"355\" height=\"146\" data-attachment-id=\"10629\" data-permalink=\"https:\/\/geopard.tech\/lv\/blog\/5g-enabled-real-time-learning-in-sustainable-farming-a-study-on-sugar-beet-production\/example-of-input-output-of-segmentation\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Example-of-input-output-of-segmentation.png?fit=355%2C146&amp;ssl=1\" data-orig-size=\"355,146\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Example of input-output of segmentation\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Example-of-input-output-of-segmentation.png?fit=355%2C146&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Example-of-input-output-of-segmentation.png?resize=355%2C146&#038;ssl=1\" alt=\"Segment\u0101cijas ievades-izvades piem\u0113rs\" class=\"wp-image-10629\" style=\"width:767px;height:auto\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Example-of-input-output-of-segmentation.png?w=355&amp;ssl=1 355w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Example-of-input-output-of-segmentation.png?resize=300%2C123&amp;ssl=1 300w\" sizes=\"(max-width: 355px) 100vw, 355px\" \/><figcaption class=\"wp-element-caption\">Segment\u0101cijas ievades-izvades piem\u0113rs<\/figcaption><\/figure>\n<\/div>\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Mode\u013ca nov\u0113rt\u0113jums<\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Modelis tika apm\u0101c\u012bts, izmantojot stingrus datu papildin\u0101jumus. Modelis tika nov\u0113rt\u0113ts, izmantojot da\u017e\u0101das metrikas, tostarp Intersection over Union (IoU). Izveidot\u0101 mode\u013ca secin\u0101jumu anal\u012bze, kas tika veikta ar datu kopas \u2018augu st\u0101di v2\u2019 datu kopas apak\u0161kopu, uzr\u0101d\u012bja precizit\u0101ti 81%. secin\u0101jumu apr\u0113\u0137in\u0101\u0161anai p\u0113c 7 sekun\u017eu inicializ\u0101cijas perioda, kas nepiecie\u0161ams tikai vienu reizi sesij\u0101, bija nepiecie\u0161amas aptuveni 320 milisekundes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ar m\u0101ksl\u012bgo intelektu (AI) darbin\u0101m\u0101 r\u016bpn\u012bcu uzraudz\u012bb\u0101 kameras un sensori fiks\u0113 svar\u012bgus r\u016bpn\u012bcas datus, kurus analiz\u0113 ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s un AI algoritmi. \u0160ai anal\u012bzei bija iz\u0161\u0137iro\u0161a noz\u012bme augu vesel\u012bbas nov\u0113rt\u0113\u0161an\u0101, nosakot stresu, slim\u012bbas vai citus aug\u0161anu ietekm\u0113jo\u0161us faktorus.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Pielietojums ir \u013coti pla\u0161s - no lauksaimniec\u012bbas ra\u017e\u012bguma optimiz\u0113\u0161anas l\u012bdz dabisko ekosist\u0113mu, piem\u0113ram, me\u017eu, uzraudz\u012bbai, pal\u012bdz\u012bbai saglab\u0101\u0161anas pas\u0101kumos un izpratnes uzlabo\u0161anai par ietekmi uz vidi.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-object-detection-in-plant-monitoring\">Objektu noteik\u0161ana augu uzraudz\u012bb\u0101<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">N\u0101kamais posms p\u0113c cukurbie\u0161u augu segment\u0113\u0161anas ir objektu noteik\u0161ana, kuras m\u0113r\u0137is ir izprast katra auga specifiku attiec\u012bb\u0101 uz vesel\u012bbu, aug\u0161anu un citiem faktoriem. Objektu noteik\u0161anai augu uzraudz\u012bb\u0101 tika izmantoti t\u0101di progres\u012bvi mode\u013ci k\u0101 YOLOv4, MobileNetV2 un VGG-19 ar uzman\u012bbas meh\u0101nismiem. \u0160ie mode\u013ci analiz\u0113ja segment\u0113tus cukurbie\u0161u att\u0113lus, lai atkl\u0101tu konkr\u0113tas stresa un slim\u012bbu zonas, \u013caujot veikt prec\u012bzus un m\u0113r\u0137tiec\u012bgus pas\u0101kumus.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Projekt\u0101 tika sasniegti noz\u012bm\u012bgi sasniegumi slim\u012bbu noteik\u0161an\u0101, apm\u0101cot ResNet-18 un ResNet-34 mode\u013cus, kas iepriek\u0161 apm\u0101c\u012bti ar ImageNet. \u0160ie mode\u013ci uzr\u0101d\u012bja iespaid\u012bgu precizit\u0101ti 0,88, identific\u0113jot cukurbie\u0161u augus skart\u0101s slim\u012bbas, un to laukums zem ROC l\u012bknes (AUC) bija 0,898. Mode\u013ci uzr\u0101d\u012bja augstu prognoz\u0113\u0161anas ticam\u012bbu, prec\u012bzi no\u0161\u0137irot slimos augus no veseliem.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"414\" height=\"194\" data-attachment-id=\"10630\" data-permalink=\"https:\/\/geopard.tech\/lv\/blog\/5g-enabled-real-time-learning-in-sustainable-farming-a-study-on-sugar-beet-production\/example-of-input-output-of-object-detection\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Example-of-input-output-of-object-detection.png?fit=414%2C194&amp;ssl=1\" data-orig-size=\"414,194\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Example of input-output of object detection\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Example-of-input-output-of-object-detection.png?fit=414%2C194&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Example-of-input-output-of-object-detection.png?resize=414%2C194&#038;ssl=1\" alt=\"Objekta noteik\u0161anas ievades-izvades piem\u0113rs\" class=\"wp-image-10630\" style=\"width:750px;height:auto\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Example-of-input-output-of-object-detection.png?w=414&amp;ssl=1 414w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Example-of-input-output-of-object-detection.png?resize=300%2C141&amp;ssl=1 300w\" sizes=\"(max-width: 414px) 100vw, 414px\" \/><figcaption class=\"wp-element-caption\">Objekta noteik\u0161anas ievades-izvades piem\u0113rs<\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">Projekt\u0101 tika izmantota sistem\u0101tiska pieeja slim\u012bbu noteik\u0161anai, segment\u0113jot att\u0113lus standartiz\u0113tos plankumos. \u0160iem plankumiem tika veikta r\u016bp\u012bga anot\u0101cija, izmantojot interakt\u012bvus r\u012bkus, lai prec\u012bzi noteiktu slim\u012bbas skart\u0101s zonas. Objektu noteik\u0161ana v\u0113l vair\u0101k palielin\u0101ja precizit\u0101ti, iez\u012bm\u0113jot ap augiem norobe\u017eojo\u0161us laukumus, kas atviegloja prec\u012bzu augu vesel\u012bbas st\u0101vok\u013ca uzraudz\u012bbu.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-plant-production-prediction\">Augu produkcijas prognoz\u0113\u0161ana<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Augkop\u012bbas ra\u017eo\u0161anas prognoz\u0113\u0161anas jom\u0101 m\u0101ksl\u012bg\u0101 intelekta mode\u013ci izmanto vides datus, piem\u0113ram, laika apst\u0101k\u013cus un augsnes parametrus, lai prognoz\u0113tu ra\u017eas. Tika izmantoti t\u0101di regresijas mode\u013ci k\u0101 izol\u0101cijas me\u017es, line\u0101r\u0101 regresija un Ridge regresija.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0160ajos mode\u013cos tika integr\u0113ti skaitliskie raksturlielumi, kas ieg\u016bti no ierobe\u017eojo\u0161iem apgabaliem kop\u0101 ar augsnes datiem, lai optimiz\u0113tu m\u0113slo\u0161anas l\u012bdzek\u013cu lieto\u0161anu.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"810\" height=\"1076\" data-attachment-id=\"10632\" data-permalink=\"https:\/\/geopard.tech\/lv\/blog\/5g-enabled-real-time-learning-in-sustainable-farming-a-study-on-sugar-beet-production\/sugar-beet-on-test-field\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-on-test-field.png?fit=1542%2C2048&amp;ssl=1\" data-orig-size=\"1542,2048\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Sugar beet on test field\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-on-test-field.png?fit=771%2C1024&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-on-test-field.png?resize=810%2C1076&#038;ssl=1\" alt=\"Cukurbie\u0161u audz\u0113\u0161ana izm\u0113\u0123in\u0101jumu lauk\u0101\" class=\"wp-image-10632\" style=\"width:700px;height:auto\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-on-test-field.png?w=1542&amp;ssl=1 1542w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-on-test-field.png?resize=226%2C300&amp;ssl=1 226w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-on-test-field.png?resize=771%2C1024&amp;ssl=1 771w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-on-test-field.png?resize=768%2C1020&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-on-test-field.png?resize=1157%2C1536&amp;ssl=1 1157w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-on-test-field.png?resize=150%2C200&amp;ssl=1 150w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Sugar-beet-on-test-field.png?resize=1200%2C1594&amp;ssl=1 1200w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><figcaption class=\"wp-element-caption\">Cukurbie\u0161u audz\u0113\u0161ana izm\u0113\u0123in\u0101jumu lauk\u0101<\/figcaption><\/figure>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-model-deployment-considerations\">Mode\u013ca izvieto\u0161anas apsv\u0113rumi<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Izstr\u0101d\u0101to mode\u013cu izvieto\u0161anas strat\u0113\u0123ijas tika nov\u0113rt\u0113tas gan malas ier\u012bc\u0113m, gan m\u0101ko\u0146a platform\u0101m. Mode\u013cu izvieto\u0161ana malas ier\u012bc\u0113s nodro\u0161in\u0101ja t\u0101das priek\u0161roc\u012bbas k\u0101 zem\u0101kas izmaksas un zem\u0101ka latentuma pak\u0101pe.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tom\u0113r, izmantojot \u0161o pieeju, aparat\u016bras ierobe\u017eojumu d\u0113\u013c var tikt samazin\u0101ta iesp\u0113jam\u0101 precizit\u0101te. No otras puses, m\u0101ko\u0146a izvieto\u0161ana pied\u0101v\u0101ja \u0101tr\u0101ku secin\u0101jumu izdar\u012b\u0161anas laiku, izmantojot augstas veiktsp\u0113jas GPU, bet var\u0113ja rad\u012bt papildu izmaksas un bija atkar\u012bga no interneta savienojam\u012bbas, kas var\u0113ja rad\u012bt komunik\u0101cijas kav\u0113\u0161anos.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-comparative-analysis-with-5g-network\">Sal\u012bdzino\u0161\u0101 anal\u012bze ar 5G t\u012bklu<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Sal\u012bdzino\u0161\u0101 anal\u012bze par\u0101d\u012bja, ka 5G t\u012bkla izmanto\u0161ana iev\u0113rojami uzlabo cukurbie\u0161u segment\u0101ciju sal\u012bdzin\u0101jum\u0101 ar tradicion\u0101laj\u0101m 4G\/WiFi sist\u0113m\u0101m. \u0160o uzlabojumu apliecin\u0101ja samazin\u0101tais vid\u0113jais iestat\u012b\u0161anas un t\u012bkla izveides laiks, uzsverot efektivit\u0101tes pieaugumu, kas pan\u0101kts, izmantojot 5G tehnolo\u0123iju.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Datu sagatavo\u0161anas process<\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Datu sagatavo\u0161anas proces\u0101 tika apkopotas veselu un slimu augu datu kopas, atkl\u0101tas nez\u0101les, identific\u0113tas aug\u0161anas stadijas un no 4K neapstr\u0101d\u0101ta video tika ieg\u016bti att\u0113li. Lai sagatavotu datus anal\u012bzei, tika izmantoti t\u0101di pa\u0146\u0113mieni k\u0101 histogrammas izl\u012bdzin\u0101\u0161ana, att\u0113lu filtr\u0113\u0161ana un HSV kr\u0101su telpas transform\u0101cija.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tika \u0146emti veselu cukurbie\u0161u lapu paraugi un slimu lapu paraugi, piem\u0113ram, kukur\u016bzas lapas ar pel\u0113ko lapu plankumain\u012bbu. Slim\u012bbas paz\u012bmju ieg\u016b\u0161ana ietv\u0113ra lapu atdal\u012b\u0161anu no fona, izm\u0113ru mai\u0146u, p\u0101rveido\u0161anu un att\u0113lu apvieno\u0161anu, lai anal\u012bzei izveidotu re\u0101lus paraugus.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"810\" height=\"200\" data-attachment-id=\"10633\" data-permalink=\"https:\/\/geopard.tech\/lv\/blog\/5g-enabled-real-time-learning-in-sustainable-farming-a-study-on-sugar-beet-production\/annotation-process-for-segmentation\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Annotation-process-for-segmentation.png?fit=2048%2C505&amp;ssl=1\" data-orig-size=\"2048,505\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Annotation process for segmentation\" data-image-description=\"\" data-image-caption=\"&lt;p&gt;Caption 3&lt;\/p&gt;\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Annotation-process-for-segmentation.png?fit=1024%2C253&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Annotation-process-for-segmentation.png?resize=810%2C200&#038;ssl=1\" alt=\"Anot\u0101cijas process segment\u0113\u0161anai\" class=\"wp-image-10633\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Annotation-process-for-segmentation.png?w=2048&amp;ssl=1 2048w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Annotation-process-for-segmentation.png?resize=300%2C74&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Annotation-process-for-segmentation.png?resize=1024%2C253&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Annotation-process-for-segmentation.png?resize=768%2C189&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Annotation-process-for-segmentation.png?resize=1536%2C379&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Annotation-process-for-segmentation.png?resize=1200%2C296&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Annotation-process-for-segmentation.png?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><figcaption class=\"wp-element-caption\">Anot\u0101cijas process segment\u0113\u0161anai<\/figcaption><\/figure>\n<\/div>\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Akt\u012bv\u0101s m\u0101c\u012b\u0161an\u0101s cilpa<\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Akt\u012bv\u0101 m\u0101c\u012b\u0161an\u0101s cilpa tika uzs\u0101kta ar nemar\u0137\u0113tiem datiem, kas tika izmantoti, lai apm\u0101c\u012btu noteik\u0161anas mode\u013cus. \u0160ie mode\u013ci \u0123ener\u0113ja anot\u0101cijas vaic\u0101jumus, uz kuriem atbild\u0113ja anotatori, nep\u0101rtraukti uzlabojot mode\u013ca precizit\u0101ti, izmantojot iterat\u012bvus apm\u0101c\u012bbas un anot\u0101cijas ciklus.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Datu anot\u0113\u0161ana, izmantojot multimod\u0101lo pamatnes modeli<\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Risinot ierobe\u017eotu mar\u0137\u0113to datu probl\u0113mu, projekt\u0101 tika izmantoti sp\u0113c\u012bgi pamatmode\u013ci, lai rad\u012btu pamatinform\u0101cijas anot\u0101cijas. \u012apa\u0161i svar\u012bga loma bija CLIP - uz transformatoru balst\u012btam modelim, ko izstr\u0101d\u0101ja OpenAI un kas tika apm\u0101c\u012bts, izmantojot pla\u0161u datu kopu ar vair\u0101k nek\u0101 400 miljoniem att\u0113lu un tekstu p\u0101ru.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Izmantojot redzes transformatorus k\u0101 mugurkaulu, CLIP sasniedza iev\u0113rojamu 95% precizit\u0101ti valid\u0101cijas kop\u0101s, prasm\u012bgi un ar augstu precizit\u0101ti iedalot att\u0113lus da\u017e\u0101d\u0101s klas\u0113s, piem\u0113ram, cukurbietes un nez\u0101les.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Dronu tehnolo\u0123ija datu v\u0101k\u0161anai<\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Viena no svar\u012bg\u0101kaj\u0101m projekt\u0101 izmantotaj\u0101m tehnolo\u0123ij\u0101m bija ar RGB kamer\u0101m apr\u012bkotu dronu izmanto\u0161ana, kas uz\u0146\u0113ma 4K video. \u0160ie droni nodro\u0161in\u0101ja detaliz\u0113tus att\u0113lus (3840 \u00d7 2160 iz\u0161\u0137irtsp\u0113ja) anal\u012bzei.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0160o att\u0113lu pirmapstr\u0101de iev\u0113rojami palielin\u0101ja mode\u013cu precizit\u0101ti, un iev\u0113rojami uzlabojumi tika nov\u0113roti t\u0101dos mode\u013cos k\u0101 VGGNet (+38,52%), ResNet50 (+21,14%), DenseNet121 (+7,53%) un MobileNet (+6,6%).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">T\u0101di pa\u0146\u0113mieni k\u0101 histogrammas izl\u012bdzin\u0101\u0161ana tika izmantoti, lai uzlabotu att\u0113la kontrastu, savuk\u0101rt transform\u0101cija HSV kr\u0101su telp\u0101 pal\u012bdz\u0113ja izcelt augu apgabalus un izcelt attiec\u012bg\u0101s iez\u012bmes.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Sint\u0113tisko datu \u0123ener\u0113\u0161ana<\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Lai risin\u0101tu ierobe\u017eoto att\u0113lu datu probl\u0113mu, izmantojot ma\u0161\u012bnm\u0101c\u012b\u0161anos un m\u0101ksl\u012bgo intelektu\u0101lo intelektu, tika izveidotas sint\u0113tiskas datu kopas. Datu v\u0101k\u0161ana tika veikta, izmantojot bezpilota lidapar\u0101tus, kas lidoja no 1 m l\u012bdz 4 m augstum\u0101 un ar \u0101trumu 2 m\/s vai vair\u0101k, izmantojot RGB kameras.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"810\" height=\"610\" data-attachment-id=\"10634\" data-permalink=\"https:\/\/geopard.tech\/lv\/blog\/5g-enabled-real-time-learning-in-sustainable-farming-a-study-on-sugar-beet-production\/emulation-environment\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Emulation-environment.png?fit=2048%2C1542&amp;ssl=1\" data-orig-size=\"2048,1542\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Emulation environment\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Emulation-environment.png?fit=1024%2C771&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Emulation-environment.png?resize=810%2C610&#038;ssl=1\" alt=\"Emulacijas vide\" class=\"wp-image-10634\" style=\"width:646px;height:auto\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Emulation-environment.png?w=2048&amp;ssl=1 2048w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Emulation-environment.png?resize=300%2C226&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Emulation-environment.png?resize=1024%2C771&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Emulation-environment.png?resize=768%2C578&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Emulation-environment.png?resize=1536%2C1157&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Emulation-environment.png?resize=400%2C300&amp;ssl=1 400w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Emulation-environment.png?resize=200%2C150&amp;ssl=1 200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Emulation-environment.png?resize=1200%2C904&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/07\/Emulation-environment.png?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><figcaption class=\"wp-element-caption\">Emulacijas vide<\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">Datu v\u0101k\u0161anai tika izmantoti ar\u012b citi transportl\u012bdzek\u013ci, piem\u0113ram, traktori. \u0160\u012b sint\u0113tisko datu \u0123ener\u0113\u0161ana izr\u0101d\u012bj\u0101s \u012bpa\u0161i noder\u012bga cukurbie\u0161u slim\u012bbu noteik\u0161anai.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-conclusion\">Secin\u0101jums<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Projekts \u201c5G t\u012bkli k\u0101 re\u0101llaika m\u0101c\u012bbu veicin\u0101t\u0101js ilgtsp\u0113j\u012bg\u0101 lauksaimniec\u012bb\u0101\u201d veiksm\u012bgi demonstr\u0113ja, k\u0101 5G tehnolo\u0123ija var uzlabot cukurbie\u0161u audz\u0113\u0161anas ekolo\u0123iskos, ekonomiskos un ilgtsp\u0113j\u012bgos aspektus. Sadarbojoties ar HSHL un Pfeifer &amp; Langen, projekt\u0101 tika integr\u0113ta re\u0101llaika datu v\u0101k\u0161ana un m\u0101ksl\u012bg\u0101 intelekta vad\u012bta anal\u012bze, uzlabojot efektivit\u0101ti un samazinot nevajadz\u012bgu lauku apmekl\u0113jumu skaitu. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Specializ\u0113ts 5G universit\u0101tes pils\u0113ti\u0146as t\u012bkls nodro\u0161in\u0101ja prec\u012bzu m\u0113slo\u0161anas l\u012bdzek\u013cu un augu aizsardz\u012bbas l\u012bdzek\u013cu lieto\u0161anu. Uz\u0146\u0113mumam Geopard Agriculture bija iz\u0161\u0137iro\u0161a loma augu noteik\u0161anas un uzraudz\u012bbas scen\u0101riju izstr\u0101d\u0113, k\u0101 ar\u012b ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s sist\u0113mas prototipa izveid\u0113 5G lauksaimniec\u012bbas videi. Projekta pan\u0101kumi uzsv\u0113ra progres\u012bvo tehnolo\u0123iju noz\u012bmi ilgtsp\u0113j\u012bg\u0101 lauksaimniec\u012bb\u0101, izce\u013cot 5G potenci\u0101lu veicin\u0101t inov\u0101cijas un efektivit\u0101ti. <\/p>","protected":false},"excerpt":{"rendered":"<p>Ar prieku pazi\u0146ojam par veiksm\u012bgu projekta \u201c5G t\u012bkli k\u0101 re\u0101llaika m\u0101c\u012b\u0161an\u0101s veicin\u0101t\u0101js ilgtsp\u0113j\u012bg\u0101 lauksaimniec\u012bb\u0101\u201d pabeig\u0161anu, ko da\u013c\u0113ji atbalsta\u2026<\/p>","protected":false},"author":210157960,"featured_media":10639,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_eb_attr":"","content-type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_wpcom_ai_launchpad_first_post":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"{title}\n\n{excerpt}\n\n{url}","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1657,1367],"tags":[],"class_list":["post-10617","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-precision-farming","category-use-cases"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - 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