{"id":11439,"date":"2025-04-03T01:11:12","date_gmt":"2025-04-02T23:11:12","guid":{"rendered":"https:\/\/geopard.tech\/?p=11439"},"modified":"2025-04-03T01:11:12","modified_gmt":"2025-04-02T23:11:12","slug":"makoni-balstita-transformejosa-kulturaugu-ieteikumu-modela-maina-preciza-lauksaimnieciba","status":"publish","type":"post","link":"https:\/\/geopard.tech\/lv\/blog\/cloud-based-transformative-crop-recommendation-model-changing-precision-agriculture\/","title":{"rendered":"M\u0101ko\u0146dato\u0161anas transformat\u012bvais augu ieteikumu modelis maina prec\u012bzo lauksaimniec\u012bbu"},"content":{"rendered":"

Lauksaimniec\u012bba ir non\u0101kusi krustcel\u0113s. T\u0101 k\u0101 pasaules iedz\u012bvot\u0101ju skaits l\u012bdz 2050. gadam sasniegs 9,7 miljardus, lauksaimniekiem ir j\u0101ra\u017eo par 701\u00a0TP3\u00a0T vair\u0101k p\u0101rtikas, vienlaikus c\u012bnoties pret klimata p\u0101rmai\u0146\u0101m, augsnes degrad\u0101ciju un \u016bdens tr\u016bkumu.<\/p>\n

Tradicion\u0101l\u0101s lauksaimniec\u012bbas metodes, kas balst\u0101s uz novecoju\u0161\u0101m praks\u0113m un min\u0113jumiem, vairs nav pietiekamas. Iepaz\u012bstieties ar\u00a0Transform\u0113jo\u0161ais kult\u016braugu ieteikumu modelis (TCRM)<\/strong>, m\u0101ksl\u012bg\u0101 intelekta vad\u012bts risin\u0101jums, kas paredz\u0113ts \u0161o izaicin\u0101jumu risin\u0101\u0161anai.<\/p>\n

\u0160aj\u0101 rakst\u0101 ir apl\u016bkots, k\u0101 TCRM izmanto ma\u0161\u012bnm\u0101c\u012b\u0161anos, lietu interneta sensorus un m\u0101ko\u0146dato\u0161anu, lai sniegtu\u00a094% prec\u012bzi kult\u016braugu ieteikumi<\/strong>, dodot lauksaimniekiem iesp\u0113ju palielin\u0101t ra\u017eu, samazin\u0101t atkritumus un ieviest ilgtsp\u0113j\u012bgu praksi.<\/p>\n

Pieaugo\u0161\u0101 m\u0101ksl\u012bg\u0101 intelekta nepiecie\u0161am\u012bba m\u016bsdienu lauksaimniec\u012bb\u0101<\/strong><\/h2>\n

Piepras\u012bjums p\u0113c p\u0101rtikas strauji pieaug, ta\u010du tradicion\u0101lajai lauksaimniec\u012bbai ir gr\u016bti sekot l\u012bdzi. T\u0101dos re\u0123ionos k\u0101 Pend\u017eaba, Indij\u0101, kas ir noz\u012bm\u012bgs lauksaimniec\u012bbas centrs, augsnes vesel\u012bba pasliktin\u0101s p\u0101rm\u0113r\u012bgas m\u0113slo\u0161anas l\u012bdzek\u013cu lieto\u0161anas d\u0113\u013c, un grunts\u016bde\u0146u rezerves strauji samazin\u0101s.<\/p>\n

Lauksaimniekiem bie\u017ei vien tr\u016bkst piek\u013cuves re\u0101llaika datiem, k\u0101 rezult\u0101t\u0101 tiek pie\u0146emti slikti l\u0113mumi par kult\u016braugu izv\u0113li, ap\u016bde\u0146o\u0161anu un resursu izmanto\u0161anu. Tie\u0161i \u0161eit\u00a0Prec\u012bz\u0101 lauksaimniec\u012bba<\/strong>, ko darbina m\u0101ksl\u012bgais intelekts, k\u013c\u016bst kritiski svar\u012bga.<\/p>\n

At\u0161\u0137ir\u012bb\u0101 no tradicion\u0101laj\u0101m metod\u0113m, prec\u012bz\u0101 lauksaimniec\u012bba izmanto t\u0101das tehnolo\u0123ijas k\u0101 lietu interneta sensorus un ma\u0161\u012bnm\u0101c\u012b\u0161anos, lai analiz\u0113tu lauka apst\u0101k\u013cus un sniegtu piel\u0101gotus ieteikumus. TCRM ir \u0161\u012bs pieejas piem\u0113rs, pied\u0101v\u0101jot lauksaimniekiem noder\u012bgu inform\u0101ciju, kuras pamat\u0101 ir augsnes bar\u012bbas vielas, laikapst\u0101k\u013cu mode\u013ci un v\u0113sturiskie dati.<\/p>\n

Integr\u0113jot m\u0101ksl\u012bgo intelektu lauksaimniec\u012bb\u0101, TCRM p\u0101rvar plaisu starp tradicion\u0101laj\u0101m zin\u0101\u0161an\u0101m un m\u016bsdienu inov\u0101cij\u0101m, nodro\u0161inot, ka lauksaimnieki var ilgtsp\u0113j\u012bgi apmierin\u0101t n\u0101kotnes p\u0101rtikas piepras\u012bjumu.<\/p>\n

\u201c\u0160eit nav runa tikai par tehnolo\u0123ij\u0101m \u2014 runa ir par to, lai katram lauksaimniekam b\u016btu pieejami r\u012bki, kas \u013cauj att\u012bst\u012bties.\u201d<\/em><\/p><\/blockquote>\n

K\u0101 darbojas TCRM: datu apvieno\u0161ana un ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s<\/strong><\/h2>\n

P\u0113c b\u016bt\u012bbas TCRM ir\u00a0M\u0101ksl\u012bg\u0101 intelekta kult\u016braugu ieteikumu sist\u0113ma<\/strong>\u00a0kas apvieno vair\u0101kas tehnolo\u0123ijas, lai sniegtu prec\u012bzus padomus. Process s\u0101kas ar datu v\u0101k\u0161anu. Laukos izvietotie lietu interneta (IoT) sensori m\u0113ra kritiskos parametrus, piem\u0113ram, augsnes sl\u0101pekli (N), fosforu (P), k\u0101liju (K), temperat\u016bru, mitrumu, nokri\u0161\u0146us un pH l\u012bmeni.<\/p>\n

\u0160ie sensori re\u0101llaika datus nos\u016bta uz m\u0101ko\u0146dato\u0161anas platformu, kas ar\u012b ieg\u016bst v\u0113sturiskos kult\u016braugu ra\u017eas datus no glob\u0101l\u0101m datub\u0101z\u0113m, piem\u0113ram, NASA un FAO. P\u0113c apkopo\u0161anas dati tiek r\u016bp\u012bgi att\u012br\u012bti.<\/p>\n

Tr\u016bksto\u0161\u0101s v\u0113rt\u012bbas, piem\u0113ram, augsnes pH r\u0101d\u012bjumi, tiek aizpild\u012btas, izmantojot re\u0123ion\u0101los vid\u0113jos r\u0101d\u012bt\u0101jus, savuk\u0101rt novirzes, piem\u0113ram, p\u0113k\u0161\u0146as mitruma sv\u0101rst\u012bbas, tiek filtr\u0113tas. Att\u012br\u012btie dati p\u0113c tam tiek normaliz\u0113ti, lai nodro\u0161in\u0101tu konsekvenci; piem\u0113ram, nokri\u0161\u0146u v\u0113rt\u012bbas tiek m\u0113rogotas no 0 (100 mm) l\u012bdz 1 (1000 mm), lai vienk\u0101r\u0161otu anal\u012bzi.<\/p>\n

P\u0113c tam darbu p\u0101r\u0146em TCRM hibr\u012bdais ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s modelis. Tas apvieno\u00a0Nejau\u0161\u0101 me\u017ea algoritmi<\/strong>\u2014metode, kur\u0101 tiek izmantoti 500 l\u0113mumu koki, lai izvair\u012btos no k\u013c\u016bd\u0101m, \u2014 ar dzi\u013c\u0101s m\u0101c\u012b\u0161an\u0101s sl\u0101\u0146iem, kas atkl\u0101j sare\u017e\u0123\u012btus mode\u013cus.<\/p>\n

\"K\u0101<\/p>\n

Svar\u012bgs jaunin\u0101jums ir\u00a0vair\u0101ku galvu uzman\u012bbas meh\u0101nisms<\/strong>, kas identific\u0113 main\u012bgo lielumu savstarp\u0113j\u0101s attiec\u012bbas. Piem\u0113ram, taj\u0101 atz\u012bts, ka liels nokri\u0161\u0146u daudzums bie\u017ei vien korel\u0113 ar lab\u0101ku sl\u0101pek\u013ca absorbciju t\u0101d\u0101s kult\u016br\u0101s k\u0101 r\u012bsi.<\/p>\n

Modelis tiek apm\u0101c\u012bts 200 ciklos (epoh\u0101s) ar m\u0101c\u012b\u0161an\u0101s \u0101trumu 0,001, preciz\u0113jot savas prognozes, l\u012bdz tiek sasniegta precizit\u0101te 94%. Visbeidzot, sist\u0113ma izv\u0113r\u0161 ieteikumus, izmantojot m\u0101kon\u012b balst\u012btu lietotni vai \u012bszi\u0146u br\u012bdin\u0101jumus, nodro\u0161inot, ka pat lauksaimnieki att\u0101los apgabalos sa\u0146em savlaic\u012bgus padomus.<\/p>\n

K\u0101p\u0113c TCRM p\u0101rsp\u0113j tradicion\u0101l\u0101s lauksaimniec\u012bbas metodes<\/strong><\/h2>\n

Tradicion\u0101laj\u0101m kult\u016braugu ieteikumu sist\u0113m\u0101m, piem\u0113ram, t\u0101m, kas izmanto lo\u0123istisko regresiju vai K tuv\u0101ko kaimi\u0146u (KNN) metodi, tr\u016bkst sare\u017e\u0123\u012bt\u012bbas, lai tiktu gal\u0101 ar lauksaimniec\u012bbas sare\u017e\u0123\u012bt\u012bbu.<\/p>\n

Piem\u0113ram, KNN c\u012bn\u0101s ar nesabalans\u0113tiem datiem \u2014 ja datu kop\u0101 ir vair\u0101k ierakstu par kvie\u0161iem nek\u0101 l\u0113c\u0101m, t\u0101 prognozes sliecas par labu kvie\u0161iem. L\u012bdz\u012bgi AdaBoost, v\u0113l viens algoritms, p\u0113t\u012bjum\u0101 ieguva tikai 11,5% precizit\u0101ti p\u0101rm\u0113r\u012bgas piel\u0101go\u0161anas d\u0113\u013c. TCRM p\u0101rvar \u0161os tr\u016bkumus, izmantojot savu hibr\u012bda dizainu.<\/p>\n

Apvienojot uz kokiem balst\u012btus algoritmus (caursp\u012bd\u012bgumam) ar dzi\u013co m\u0101c\u012b\u0161anos (sare\u017e\u0123\u012btu mode\u013cu apstr\u0101dei), tas l\u012bdzsvaro precizit\u0101ti un interpret\u0113jam\u012bbu.<\/p>\n

Izm\u0113\u0123in\u0101jumos TCRM sasniedza\u00a097,67% krustvalid\u0101cijas rezult\u0101ts<\/strong>, pier\u0101dot t\u0101 uzticam\u012bbu da\u017e\u0101dos apst\u0101k\u013cos. Piem\u0113ram, test\u0113jot Pend\u017eab\u0101, tas ieteica gran\u0101t\u0101bolu audz\u0113\u0161anu saimniec\u012bb\u0101m ar augstu k\u0101lija l\u012bmeni (120 kg\/ha) un m\u0113renu pH l\u012bmeni (6,3), kas nodro\u0161in\u0101ja 30% ra\u017eas pieaugumu.<\/p>\n

Lauksaimnieki ar\u012b samazin\u0101ja m\u0113slo\u0161anas l\u012bdzek\u013cu pat\u0113ri\u0146u par 15% un \u016bdens atkritumus par 25%, jo sist\u0113ma sniedza prec\u012bzas bar\u012bbas vielu un ap\u016bde\u0146o\u0161anas vadl\u012bnijas. \u0160ie rezult\u0101ti uzsver TCRM potenci\u0101lu p\u0101rveidot lauksaimniec\u012bbu no resursu ietilp\u012bgas nozares par ilgtsp\u0113j\u012bgu, uz datiem balst\u012btu ekosist\u0113mu.<\/p>\n

\"TCRM<\/p>\n

Re\u0101l\u0101s pasaules ietekme: gad\u012bjumu izp\u0113te no Pend\u017eabas<\/strong><\/h2>\n

Pend\u017eabas lauksaimnieki saskaras ar nopietn\u0101m probl\u0113m\u0101m, tostarp noplicin\u0101tiem grunts\u016bde\u0146iem un augsnes bar\u012bbas vielu nel\u012bdzsvarot\u012bbu. \u0160eit tika p\u0101rbaud\u012bta TCRM metode, lai nov\u0113rt\u0113tu t\u0101s praktisko v\u0113rt\u012bbu.<\/p>\n

Piem\u0113ram, viens lauksaimnieks ievad\u012bja datus, kas liecin\u0101ja par augsnes sl\u0101pek\u013ca daudzumu 80 kg\/ha, fosfora daudzumu 45 kg\/ha un k\u0101lija daudzumu 120 kg\/ha, pH l\u012bmenim esot 6,3 un gada nokri\u0161\u0146u daudzumam 600 mm.<\/p>\n

TCRM analiz\u0113ja \u0161os datus, atpazina augsto k\u0101lija l\u012bmeni un optim\u0101lo pH diapazonu un ieteica gran\u0101t\u0101bolu \u2014 kult\u016bru, kas paz\u012bstama ar savu labkl\u0101j\u012bbu \u0161\u0101dos apst\u0101k\u013cos. Lauksaimnieks sa\u0146\u0113ma \u012bszi\u0146as br\u012bdin\u0101jumu ar detaliz\u0113tu inform\u0101ciju par izv\u0113l\u0113to kult\u016bru un ide\u0101liem m\u0113slo\u0161anas l\u012bdzek\u013ciem (ur\u012bnviela sl\u0101pek\u013ca viet\u0101, superfosf\u0101ts fosfora viet\u0101).<\/p>\n

Se\u0161u m\u0113ne\u0161u laik\u0101 lauksaimnieki, kas izmanto TCRM, zi\u0146oja\u00a020\u201330% augst\u0101ka ra\u017ea<\/strong>\u00a0t\u0101diem pamatkult\u016braugiem k\u0101 kvie\u0161i un r\u012bsi. Uzlaboj\u0101s ar\u012b resursu efektivit\u0101te: m\u0113slo\u0161anas l\u012bdzek\u013cu pat\u0113ri\u0146\u0161 samazin\u0101j\u0101s par 151 TP3 t, jo sist\u0113ma prec\u012bzi noteica bar\u012bbas vielu vajadz\u012bbas, un \u016bdens iz\u0161\u0137\u0113rd\u0113\u0161ana samazin\u0101j\u0101s par 251 TP3 t, pateicoties ap\u016bde\u0146o\u0161anai, kas tika saska\u0146ota ar nokri\u0161\u0146u prognoz\u0113m.<\/p>\n

\u0160ie rezult\u0101ti par\u0101da, k\u0101 m\u0101ksl\u012bg\u0101 intelekta vad\u012bti r\u012bki, piem\u0113ram, TCRM, var uzlabot produktivit\u0101ti, vienlaikus veicinot vides ilgtsp\u0113j\u012bbu.<\/p>\n

Tehnisk\u0101s inov\u0101cijas, kas ir TCRM pan\u0101kumu pamat\u0101<\/strong><\/h2>\n

TCRM pan\u0101kumi ir atkar\u012bgi no diviem sasniegumiem. Pirmk\u0101rt, t\u0101\u00a0vair\u0101ku galvu uzman\u012bbas meh\u0101nisms<\/strong>\u00a0\u013cauj modelim nov\u0113rt\u0113t main\u012bgo lielumu savstarp\u0113j\u0101s attiec\u012bbas.<\/p>\n

Piem\u0113ram, t\u0101 atkl\u0101ja sp\u0113c\u012bgu pozit\u012bvu korel\u0101ciju (0,73) starp nokri\u0161\u0146iem un sl\u0101pek\u013ca uz\u0146em\u0161anu, kas noz\u012bm\u0113, ka kult\u016braugi re\u0123ionos ar augstu nokri\u0161\u0146u daudzumu g\u016bst labumu no sl\u0101peklim bag\u0101tiem m\u0113slo\u0161anas l\u012bdzek\u013ciem.<\/p>\n

Turpret\u012b tika konstat\u0113ta neliela negat\u012bva saikne (-0,14) starp augsnes pH l\u012bmeni un fosfora absorbciju, kas izskaidro, k\u0101p\u0113c sk\u0101b\u0101s augsn\u0113s pirms fosforu saturo\u0161u kult\u016braugu, piem\u0113ram, kartupe\u013cu, st\u0101d\u012b\u0161anas ir nepiecie\u0161ama apstr\u0101de ar ka\u013c\u0137i.<\/p>\n

Otrk\u0101rt, TCRM\u00a0m\u0101ko\u0146a un \u012bszi\u0146u integr\u0101cija<\/strong>\u00a0nodro\u0161ina m\u0113rogojam\u012bbu. Sist\u0113ma, kas mitin\u0101ta Amazon Web Services (AWS), vienlaikus apstr\u0101d\u0101 vair\u0101k nek\u0101 10\u00a0000 lietot\u0101ju, padarot to piem\u0113rotu lieliem kooperat\u012bviem.<\/p>\n

Mazajiem lauksaimniekiem bez interneta piek\u013cuves Twilio API nos\u016bta \u012bszi\u0146u br\u012bdin\u0101jumus \u2014 vair\u0101k nek\u0101 3000 m\u0113nes\u012b tikai Pend\u017eab\u0101 \u2014 ar ieteikumiem par kult\u016braugiem un m\u0113slojumu. \u0160\u012b div\u0113j\u0101da pieeja nodro\u0161ina, ka neviens lauksaimnieks netiek atst\u0101ts nov\u0101rt\u0101 neatkar\u012bgi no interneta savienojuma.<\/p>\n

\"Tehnisk\u0101s<\/p>\n

Izaicin\u0101jumi, ievie\u0161ot m\u0101ksl\u012bgo intelektu lauksaimniec\u012bb\u0101<\/strong><\/h2>\n

Neskatoties uz sol\u012bjumu, TCRM saskaras ar \u0161\u0137\u0113r\u0161\u013ciem. Daudzi lauksaimnieki, \u012bpa\u0161i vec\u0101ki, neuzticas m\u0101ksl\u012bg\u0101 intelekta ieteikumiem, dodot priek\u0161roku tradicion\u0101laj\u0101m metod\u0113m. Pend\u017eab\u0101 tikai 351\u00a0TP3\u00a0t lauksaimnieku izm\u0113\u0123in\u0101jumu laik\u0101 ieviesa TCRM.<\/p>\n

Izmaksas ir v\u0113l viens \u0161\u0137\u0113rslis: lietu lietu interneta sensoru izmaksas\u00a0200<\/span>\u2013<\/span><\/span><\/span><\/span>500 par akru, kas mazajiem lauksaimniekiem nav at\u013cauts. Turkl\u0101t TCRM apm\u0101c\u012bbas dati koncentr\u0113j\u0101s uz Indijas kult\u016br\u0101m, piem\u0113ram, kvie\u0161iem un r\u012bsiem, ierobe\u017eojot to lietder\u012bbu kvinojas vai avokado audz\u0113t\u0101jiem citos re\u0123ionos.<\/p>\n

P\u0113t\u012bjum\u0101 ar\u012b uzsv\u0113rtas test\u0113\u0161anas nepiln\u012bbas. Lai gan TCRM savstarp\u0113j\u0101 valid\u0101cij\u0101 ieguva 97,67%, tas netika nov\u0113rt\u0113ts ekstrem\u0101los apst\u0101k\u013cos, piem\u0113ram, pl\u016bdos vai ilgsto\u0161\u0101 sausum\u0101. N\u0101kamaj\u0101s versij\u0101s ir j\u0101risina \u0161ie ierobe\u017eojumi, lai veidotu notur\u012bbu un uztic\u0113\u0161anos.<\/p>\n

M\u0101ksl\u012bg\u0101 intelekta n\u0101kotne lauksaimniec\u012bb\u0101<\/strong><\/h2>\n

Raugoties n\u0101kotn\u0113, TCRM izstr\u0101d\u0101t\u0101ji pl\u0101no integr\u0113t\u00a0Izskaidrojamais m\u0101ksl\u012bgais intelekts (XAI)<\/strong>\u00a0t\u0101di r\u012bki k\u0101 SHAP un LIME. Tie preciz\u0113s ieteikumus, piem\u0113ram, par\u0101dot lauksaimniekiem, ka kult\u016braugs tika izv\u0113l\u0113ts, jo k\u0101lija l\u012bmenis 20% p\u0101rsniedza robe\u017ev\u0113rt\u012bbu.<\/p>\n

Glob\u0101l\u0101 papla\u0161in\u0101\u0161an\u0101s ir v\u0113l viena priorit\u0101te; pievienojot datu kopas no \u0100frikas (piem\u0113ram, kukur\u016bza Kenij\u0101) un Dienvidamerikas (piem\u0113ram, sojas pupi\u0146as Braz\u012blij\u0101), TCRM k\u013c\u016bs univers\u0101li piem\u0113rojams.<\/p>\n

T\u0101pat ir paredz\u0113ta re\u0101llaika lietu interneta (IoT) integr\u0101cija, izmantojot dronus. Droni var kart\u0113t laukus ik stundu, atjauninot ieteikumus, pamatojoties uz main\u012bgiem laikapst\u0101k\u013ciem vai kait\u0113k\u013cu aktivit\u0101ti.<\/p>\n

\u0160\u0101di jaunin\u0101jumi var\u0113tu pal\u012bdz\u0113t prognoz\u0113t sise\u0146u uzliesmojumus vai s\u0113n\u012b\u0161u infekcijas, nodro\u0161inot prevent\u012bvu r\u012bc\u012bbu. Visbeidzot, partner\u012bbas ar vald\u012bb\u0101m var\u0113tu subsid\u0113t lietu interneta sensorus, padarot prec\u012bzo lauksaimniec\u012bbu pieejamu visiem lauksaimniekiem.<\/p>\n

Secin\u0101jums<\/strong><\/h2>\n

Transform\u0113jo\u0161ais kult\u016braugu ieteikumu modelis (TCRM) ir liels solis uz priek\u0161u lauksaimniec\u012bbas tehnolo\u0123ij\u0101s. Apvienojot m\u0101ksl\u012bgo intelektu, lietu internetu (IoT) un m\u0101ko\u0146dato\u0161anu, tas pied\u0101v\u0101 lauksaimniekiem\u00a094% prec\u012bzs<\/strong>, re\u0101llaika l\u0113mumu pie\u0146em\u0161anas r\u012bks, kas palielina ra\u017eu un taupa resursus.<\/p>\n

Lai gan joproj\u0101m past\u0101v t\u0101di izaicin\u0101jumi k\u0101 izmaksas un ievie\u0161anas \u0161\u0137\u0113r\u0161\u013ci, TCRM potenci\u0101ls revolucioniz\u0113t lauksaimniec\u012bbu ir nenoliedzams. T\u0101 k\u0101 pasaule c\u012bn\u0101s ar klimata p\u0101rmai\u0146\u0101m un iedz\u012bvot\u0101ju skaita pieaugumu, t\u0101di risin\u0101jumi k\u0101 TCRM b\u016bs vit\u0101li svar\u012bgi ilgtsp\u0113j\u012bgas un ar p\u0101rtiku nodro\u0161in\u0101tas n\u0101kotnes veido\u0161an\u0101.<\/p>\n

Atsauce<\/strong>Singh, G., Sharma, S. Prec\u012bz\u0101s lauksaimniec\u012bbas uzlabo\u0161ana, izmantojot m\u0101kon\u012b balst\u012btu transform\u0113jo\u0161u kult\u016braugu ieteikumu modeli. Sci Rep 15, 9138 (2025). https:\/\/doi.org\/10.1038\/s41598-025-93417-3<\/a><\/p>","protected":false},"excerpt":{"rendered":"

Lauksaimniec\u012bba ir krustcel\u0113s. T\u0101 k\u0101 pasaules iedz\u012bvot\u0101ju skaits l\u012bdz 2050. gadam sasniegs 9,7 miljardus, lauksaimniekiem ir j\u0101ra\u017eo par 701\u00a0TP3\u00a0T vair\u0101k p\u0101rtikas, vienlaikus c\u012bnoties ar klimata p\u0101rmai\u0146\u0101m\u2026<\/p>","protected":false},"author":210249433,"featured_media":11444,"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":"","_crdt_document":"","content-type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1657,1372,1365],"tags":[],"class_list":["post-11439","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-precision-farming","category-blog","category-news"],"acf":[],"yoast_head":"\nCloud-Based Transformative Crop Recommendation Model Changing Precision Agriculture - GeoPard Agriculture<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/geopard.tech\/lv\/emuars\/makoni-balstita-transformejosa-kulturaugu-ieteikumu-modela-maina-preciza-lauksaimnieciba\/\" \/>\n<meta property=\"og:locale\" content=\"lv_LV\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cloud-Based Transformative Crop Recommendation Model Changing Precision Agriculture\" \/>\n<meta property=\"og:description\" content=\"Agriculture is at a crossroads. 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