{"id":8669,"date":"2023-10-18T19:19:40","date_gmt":"2023-10-18T17:19:40","guid":{"rendered":"https:\/\/geopard.tech\/?p=8669"},"modified":"2023-11-09T10:17:11","modified_gmt":"2023-11-09T09:17:11","slug":"slapekla-izmantosanas-efektivitates-lietosanas-gadijums-no-lva-john-deere-dilera-no-vacijas","status":"publish","type":"post","link":"https:\/\/geopard.tech\/lv\/blog\/nitrogen-use-efficiency-use-case-from-lva-john-deere-dealer-from-germany\/","title":{"rendered":"Sl\u0101pek\u013ca izmanto\u0161anas efektivit\u0101te. Lieto\u0161anas gad\u012bjums no LVA \u2013 John Deere d\u012blera no V\u0101cijas"},"content":{"rendered":"

M\u016bsdienu lauksaimniec\u012bbas dinamiskaj\u0101 pasaul\u0113 lauksaimnieki saskaras ar daudz\u0101m probl\u0113m\u0101m, tostarp klimata p\u0101rmai\u0146u ietekmi, pieaugo\u0161aj\u0101m m\u0113slo\u0161anas l\u012bdzek\u013cu izmaks\u0101m un neatliekamo nepiecie\u0161am\u012bbu p\u0113c videi ilgtsp\u0113j\u012bgas prakses. \u0160o probl\u0113mu centr\u0101lais elements ir sl\u0101pek\u013ca p\u0101rvald\u012bba \u2014 kritiski svar\u012bga bar\u012bbas viela, kuras nepareiza apsaimnieko\u0161ana var rad\u012bt iev\u0113rojamas sekas videi. <\/p>\n\n\n\n

Tom\u0113r \u0161o sare\u017e\u0123\u012bt\u012bbu vid\u016b par\u0101d\u0101s divi r\u0101d\u012bt\u0101ji, kas rada risin\u0101jumus un maina sp\u0113les noteikumus: sl\u0101pek\u013ca izmanto\u0161anas efektivit\u0101te (NUE) un sl\u0101pek\u013ca uz\u0146em\u0161ana (NU). NUE un NU pied\u0101v\u0101 jaunu paradigmu lauksaimniec\u012bbas praks\u0113, p\u0101rv\u0113r\u0161ot izaicin\u0101jumus par ilgtsp\u0113j\u012bgas un efekt\u012bvas lauksaimniec\u012bbas iesp\u0113j\u0101m.<\/p>\n\n\n\n

John Deere, vado\u0161ais lauksaimniec\u012bbas tehnikas ra\u017eot\u0101js, sp\u0113l\u0113 iz\u0161\u0137iro\u0161u lomu \u0161o probl\u0113mu risin\u0101\u0161an\u0101. Izmantojot savu HarvestLab GrainSensing sist\u0113mu, vi\u0146i sniedz svar\u012bgus datus par j\u0113lprote\u012bnu, \u013caujot prec\u012bz\u0101k izprast sl\u0101pek\u013ca dinamiku kult\u016braugos. Turkl\u0101t John Deere atbalsta moderno tehnolo\u0123iju integr\u0101ciju, lai lauksaimniec\u012bba b\u016btu ilgtsp\u0113j\u012bg\u0101ka.<\/p>\n\n\n\n

\u0160aj\u0101 uzdevum\u0101 John Deere tirdzniec\u012bbas uz\u0146\u0113mumi, piem\u0113ram, LVA, ir svar\u012bgi sabiedrotie. LVA, inovat\u012bvs John Deere tirdzniec\u012bbas uz\u0146\u0113mums V\u0101cij\u0101, cie\u0161i sadarbojas ar lauksaimniekiem, lai integr\u0113tu jaunas tehnolo\u0123ijas un ieviestu progres\u012bvas agronomisk\u0101s strat\u0113\u0123ijas. Vi\u0146u loma ir b\u016btiska, lai pal\u012bdz\u0113tu lauksaimniekiem orient\u0113ties m\u016bsdienu lauksaimniec\u012bbas sare\u017e\u0123\u012bt\u012bb\u0101s, nodro\u0161inot, ka vi\u0146i maksim\u0101li izmanto pieejam\u0101s tehnolo\u0123ijas, lai optimiz\u0113tu savu praksi.<\/p>\n\n\n\n

Magdeburgas me\u017ea augl\u012bgaj\u0101 augsn\u0113 sl\u0113pjas Baumg\u00e4rtel GbR st\u0101sts \u2013 \u0123imenes saimniec\u012bba ar 30 gadu lauksaimniec\u012bbas mantojumu, kur kvie\u0161i ir viena no galvenaj\u0101m kult\u016br\u0101m. \u0160aj\u0101 saimniec\u012bb\u0101 prec\u012bza sl\u0101pek\u013ca p\u0101rvald\u012bba sniedzas t\u0101l\u0101k par ra\u017eas optimiz\u0113\u0161anu: t\u0101 ir ap\u0146em\u0161an\u0101s nodro\u0161in\u0101t ilgtsp\u0113j\u012bgu lauksaimniec\u012bbu, \u0146emot v\u0113r\u0101 glob\u0101l\u0101s vides probl\u0113mas.<\/p>\n\n\n\n

GeoPard, k\u0101 vado\u0161ais prec\u012bz\u0101s lauksaimniec\u012bbas programmat\u016bras nodro\u0161in\u0101t\u0101js, darbojas k\u0101 saite, kas savieno \u0161os p\u012bl\u0101rus \u2013 John Deere, LVA un t\u0101dus lauksaimniekus k\u0101 Baumg\u00e4rtel GbR. GeoPard vienk\u0101r\u0161o datu p\u0101rvald\u012bbu un automatiz\u0113 anal\u012btiskos procesus, p\u0101rv\u0113r\u0161ot datus praktiski izmantojam\u0101s atzi\u0146\u0101s. \u0160aj\u0101 gad\u012bjum\u0101 vi\u0146u uzman\u012bba sl\u0101pek\u013ca izmanto\u0161anas efektivit\u0101tei pied\u0101v\u0101 skatpunktu, caur kuru lauksaimnieki var p\u0101rskat\u012bt un uzlabot savu praksi, nodro\u0161inot ilgtsp\u0113j\u012bbu un efektivit\u0101ti visos savas darb\u012bbas aspektos.<\/p>\n\n\n\n

Sl\u0101pek\u013ca apsaimnieko\u0161ana Baumg\u00e4rtel ferm\u0101<\/h2>\n\n\n\n

Baumg\u00e4rtel \u0123imene Fr\u012bdriha Baumg\u00e4rtela vad\u012bb\u0101 izmanto uz datiem balst\u012btas lauksaimniec\u012bbas potenci\u0101lu, lai pilnveidotu savas m\u0113slo\u0161anas strat\u0113\u0123ijas un ieviestu jaunas metodes, lai uzlabotu savu agronomisko praksi.<\/p>\n\n\n\n

Vi\u0146u strat\u0113\u0123ijas centr\u0101 ir sl\u0101pek\u013ca p\u0101rvald\u012bba. 2023.\u00a0gads Magdeburgas ielej\u0101 atnesa mitru pavasari un sausu vasaras s\u0101kumu, k\u0101 rezult\u0101t\u0101 ra\u017ea bija vid\u0113ja. Lai piel\u0101gotos \u0161iem apst\u0101k\u013ciem, Baumg\u00e4rtels izmantoja vietai specifiskas metodes, lai prec\u012bzi piel\u0101gotu sl\u0101pek\u013ca m\u0113slojumu. <\/p>\n\n\n\n

Turkl\u0101t vi\u0146i izmantoja HarvestLab GrainSensing sist\u0113mu, lai izm\u0113r\u012btu nov\u0101kto graudu kopprote\u012bnu. P\u0113c tam, izmantojot GeoPard, tika apr\u0113\u0137in\u0101ts kult\u016braugu sl\u0101pek\u013ca pat\u0113ri\u0146\u0161, kas \u013c\u0101va ar augstu precizit\u0101ti apr\u0113\u0137in\u0101t sl\u0101pek\u013ca izmanto\u0161anas efektivit\u0101ti (NUE).<\/p>\n\n\n\n

Baumg\u00e4rteliem NIE ir k\u013cuvis par b\u016btisku r\u0101d\u012bt\u0101ju. Tas nosaka teritorijas, kur\u0101s nepiecie\u0161amas korekcijas sl\u0101pek\u013ca lieto\u0161anas strat\u0113\u0123ij\u0101s. Zon\u0101s, kur NIE ir zem 80%, vi\u0146i pl\u0101no samazin\u0101t sl\u0101pek\u013ca lieto\u0161anu n\u0101kamaj\u0101 sezon\u0101. Turpret\u012b teritorijas, kur NIE p\u0101rsniedz 100%, prasa padzi\u013cin\u0101tu anal\u012bzi, un vi\u0146i sagaida, ka \u0161\u012b probl\u0113ma pras\u012bs vair\u0101kas r\u016bp\u012bgas nov\u0113ro\u0161anas un m\u0101c\u012b\u0161an\u0101s sezonas.<\/p>\n\n\n\n

Sadarb\u012bba starp LVA un GeoPard Agriculture<\/h2>\n\n\n\n

2022. gad\u0101 tika izveidota strat\u0113\u0123iska alianse starp GeoPard un LVA lauksaimniec\u012bbas tehnikas uz\u0146\u0113mumu Altenweddingen, inovat\u012bvu John Deere d\u012bleri V\u0101cij\u0101. \u0160\u012b sadarb\u012bba rad\u0101s no kop\u012bgas v\u012bzijas izmantot John Deere pla\u0161os datus praktiski izmantojam\u0101s atzi\u0146\u0101s par darbu uz lauka.<\/p>\n\n\n\n

Kop\u0161 t\u0101 laika partner\u012bba ir augusi, koncentr\u0113joties uz inovat\u012bviem veidiem, k\u0101 uzlabot lauksaimniec\u012bbas praksi, izmantojot uz datiem balst\u012btus l\u0113mumus. Turpm\u0101kaj\u0101s sada\u013c\u0101s m\u0113s uzsv\u0113rsim, k\u0101 lauksaimnieki maksim\u0101li izmanto sl\u0101pekli.<\/p>\n\n\n\n

Maikls Ekhards, Prec\u012bz\u0101s lauksaimniec\u012bbas noda\u013cas vad\u012bt\u0101js LVA<\/a>, min\u0113ja: \u201cSiner\u0123ija starp GeoPard un LVA ir vair\u0101k nek\u0101 tikai biznesa partner\u012bba; t\u0101 ir ap\u0146em\u0161an\u0101s revolucioniz\u0113t lieti\u0161\u0137o agronomisko praksi, izmantojot uz datiem balst\u012btus l\u0113mumus.\u201d. <\/p>\n\n\n\n

\u0160\u012b sadarb\u012bba ir velt\u012bta tam, lai sniegtu lauksaimniekiem uzlabotas agronomisk\u0101s zin\u0101\u0161anas. LVA ar saviem papla\u0161in\u0101tajiem agronomiskajiem pakalpojumiem izmanto John Deere apr\u012bkojuma, piem\u0113ram, HarvestLab GrainSensor sist\u0113mas, stipr\u0101s puses, lai apkopotu svar\u012bgus datus. <\/p>\n\n\n\n

No otras puses, GeoPard anal\u012btisk\u0101 programma apstr\u0101d\u0101 \u0161os datus, sniedzot praktiski izmantojamu inform\u0101ciju. Kop\u0101 \u0161\u012b partner\u012bba veido aliansi, kas koncentr\u0113jas uz lauksaimnieku prakses uzlabo\u0161anu (piem\u0113ram, sl\u0101pek\u013ca apsaimnieko\u0161anas jom\u0101), apvienojot lab\u0101ko no tehnikas un programmat\u016bras pasaules.\u2019<\/p>\n\n\n\n

Datu ieg\u016b\u0161ana un sagatavo\u0161ana<\/h2>\n\n\n\n

\u0160\u012bs uz datiem balst\u012bt\u0101s lauksaimniec\u012bbas evol\u016bcijas centr\u0101 ir netrauc\u0113ta integr\u0101cija starp GeoPard un John Deere oper\u0101ciju centru<\/a>. \u0160\u012b sadarb\u012bba ilustr\u0113 John Deere b\u016btisko lomu datu piek\u013cuves nodro\u0161in\u0101\u0161an\u0101, izmantojot savu API, kas iev\u0113rojami bag\u0101tina no lauksaimniec\u012bbas laukiem sa\u0146emto datu pl\u016bsmu. <\/p>\n\n\n\n

Integr\u0101cija nodro\u0161ina, ka, tikl\u012bdz darb\u012bbas ir dokument\u0113tas John Deere oper\u0101ciju centr\u0101, GeoPard t\u0101s \u0101tri apkopo. \u0160is t\u016bl\u012bt\u0113j\u0101s datu izguves process aptver ra\u017eas nov\u0101k\u0161anu (ar t\u0101du inform\u0101ciju k\u0101 j\u0113lprote\u012bna un degvielas pat\u0113ri\u0146a dati) un t\u0101dus lietojumus k\u0101 izsmidzin\u0101\u0161ana, m\u0113slo\u0161ana, s\u0113\u0161ana un augsnes apstr\u0101de.<\/p>\n\n\n\n

\u0160is racionaliz\u0113tais savienojums nav rakstur\u012bgs tikai John Deere; GeoPard platformas pamatprincips ir t\u0101s sader\u012bba ar da\u017e\u0101diem tehnikas datu sniedz\u0113jiem, atvieglojot savienojumus, izmantojot API. <\/p>\n\n\n\n

T\u0101 k\u0101 dati neman\u0101mi iepl\u016bst GeoPard sist\u0113m\u0101, audz\u0113t\u0101ji ieg\u016bst gandr\u012bz re\u0101llaika anal\u012btisku ieskatu. \u0160\u012b \u0101tr\u0101 datu p\u0101rs\u016bt\u012b\u0161ana ir automatiz\u0113tu anal\u012btisko komplektu, piem\u0113ram, sl\u0101pek\u013ca izmanto\u0161anas efektivit\u0101tes anal\u012bzes, ievie\u0161anas st\u016brakmens, nodro\u0161inot, ka audz\u0113t\u0101jiem ir pieejama savlaic\u012bga un praktiski izmantojama inform\u0101cija.<\/p>\n\n\n\n

Lauks<\/strong><\/h2>\n\n\n\n

2023. gad\u0101 Baumg\u00e4rtel GbR sask\u0101r\u0101s ar izaicin\u0101jumu optimiz\u0113t aug\u0161anu lauk\u0101. Lai to pan\u0101ktu, sl\u0101peklis tika lietots \u010detras reizes, s\u0101kot ar SSA febru\u0101r\u012b, kam sekoja tr\u012bs AHL lieto\u0161anas reizes pavasar\u012b. \u0160\u012bs lieto\u0161anas reizes lauk\u0101 tika prec\u012bzi piel\u0101gotas, izmantojot vietai specifisku metodi. Turkl\u0101t HarvestLab GrainSensing sist\u0113mai bija iz\u0161\u0137iro\u0161a noz\u012bme kopprote\u012bna sadal\u012bjuma noteik\u0161an\u0101 nov\u0101ktajos graudos.<\/p>\n\n\n\n

Ra\u017eas nov\u0101k\u0161ana<\/h2>\n\n\n\n

Iepaz\u012bstieties ar jaun\u0101k\u0101s ra\u017eas, kas dat\u0113ta ar 2023. gada 8. augustu, sare\u017e\u0123\u012bt\u012bbu, izmantojot t\u0101l\u0101k sniegtos ekr\u0101nuz\u0146\u0113mumus. \u0160is svar\u012bgais datu kopums, ko GeoPard neman\u0101mi automatiz\u0113t\u0101 veid\u0101 ieguva no John Deere oper\u0101ciju centra, par\u0101da delik\u0101to l\u012bdzsvaru starp j\u0113lprote\u012bna un mitr\u0101s masas datu sl\u0101\u0146iem, kas ieg\u016bti ra\u017eas nov\u0101k\u0161anas laik\u0101.<\/p>\n\n\n\n

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Neapstr\u0101d\u0101ta prote\u012bna dati: ra\u017ea 2023-08-08<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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Mitr\u0101s masas dati: ra\u017ea 2023-08-08<\/em><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n

Lai gan ra\u017eas nov\u0101k\u0161anas dati da\u017ek\u0101rt var at\u0161\u0137irties, ievie\u0161ana Ra\u017eas kalibr\u0113\u0161ana<\/a> iev\u0113rojami uzlabo anal\u012btisko precizit\u0101ti. Tas nodro\u0161ina ticamu ieskatu pat tad, ja kvie\u0161iem ir izcilas v\u0113rt\u012bbas, piem\u0113ram, 19 t\/ha. Kalibr\u0113t\u0101 WetMass ir att\u0113lota zem\u0101k.<\/p>\n\n\n\n

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Kalibr\u0113ti mitr\u0101s masas dati: ra\u017ea 2023-08-08<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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M\u0113slo\u0161anas oper\u0101cijas ar lietotiem sl\u0101pek\u013ca produktiem<\/strong><\/h2>\n\n\n\n

Visas 2023.\u00a0gada sezonas laik\u0101 kvie\u0161u ra\u017ea tika apstr\u0101d\u0101ta ar r\u016bp\u012bgi pl\u0101notu sl\u0101pek\u013ca lieto\u0161anas re\u017e\u012bmu, kas ietv\u0113ra \u010detras at\u0161\u0137ir\u012bgas apstr\u0101des. Tas ietv\u0113ra SSA produktu lieto\u0161anu 2023.\u00a0gada 23.\u00a0febru\u0101r\u012b, kam sekoja tr\u012bs pavasara AHL sl\u0101pek\u013ca lieto\u0161anas 2023.\u00a0gada 18.\u00a0mart\u0101, 2023.\u00a0gada 6.\u00a0apr\u012bl\u012b un 2023.\u00a0gada 13.\u00a0maij\u0101. Prec\u012bzs katr\u0101 apstr\u0101d\u0113 izmantotais daudzums ir dokument\u0113ts sniegtajos ekr\u0101nuz\u0146\u0113mumos.<\/p>\n\n\n\n

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Sl\u0101pek\u013ca pielietojums: 2023-02-23 SSA<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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Sl\u0101pek\u013ca pielietojums: 2023-03-18 AHL<\/em><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n
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Sl\u0101pek\u013ca pielietojums: 2023-04-06 AHL<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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Sl\u0101pek\u013ca pielietojums: 2023-05-13 AHL<\/em><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n

GeoPard \u0161aj\u0101 proces\u0101 sp\u0113l\u0113ja iz\u0161\u0137iro\u0161u lomu, neman\u0101mi izg\u016bstot \u0161os datu kopumus no John Deere oper\u0101ciju centra. \u0160\u012b efekt\u012bv\u0101 datu izguve sagatavoja augsni visaptvero\u0161ai sl\u0101pek\u013ca izmanto\u0161anas efektivit\u0101tes (NUE) un sl\u0101pek\u013ca uz\u0146em\u0161anas (NU) anal\u012bzei. Iedzi\u013cinoties \u0161ajos datos, m\u0113s p\u0101rveidojam neapstr\u0101d\u0101tu inform\u0101ciju v\u0113rt\u012bg\u0101s atzi\u0146\u0101s, bru\u0123\u0113jot ce\u013cu uzlabot\u0101m agronomisk\u0101m darb\u012bb\u0101m un strat\u0113\u0123ij\u0101m.<\/p>\n\n\n\n

Kop\u0113jais izmantotais sl\u0101peklis<\/h2>\n\n\n\n

Kop\u0113jais pielietotais sl\u0101peklis (KSN) kvantific\u0113 kumulat\u012bvo sl\u0101pek\u013ca daudzumu, kas pielietots laukam, izteikts absol\u016btos skait\u013cos kg\/ha. \u0160is r\u0101d\u012bt\u0101js ir atvasin\u0101ts no faktisk\u0101 sl\u0101pek\u013ca produktu daudzuma, kas pielietots vis\u0101 ve\u0123et\u0101cijas period\u0101.<\/p>\n\n\n\n

Lai nodro\u0161in\u0101tu visaugst\u0101ko nov\u0113rt\u0113juma precizit\u0101ti, tika izmantoti tikai faktiski izmantotie dati, izsl\u0113dzot m\u0113r\u0137a un pl\u0101notos skait\u013cus. \u0160\u0101da pieeja \u0146em v\u0113r\u0101 ar\u012b vietas ar p\u0101rm\u0113r\u012bgu un nepietiekamu sl\u0101pek\u013ca m\u0113slojuma daudzumu.<\/p>\n\n\n\n

Iedzi\u013cinoties, m\u0113s esam p\u0101rbaud\u012bju\u0161i katru kvadr\u0101tmetru, lai sniegtu audz\u0113t\u0101jiem detaliz\u0113tu izpratni par sl\u0101pek\u013ca daudzumu, kas tiek izmantots uz hekt\u0101ru. Zem\u0101k eso\u0161aj\u0101 kart\u0113 ir apkopota inform\u0101cija no vis\u0101m \u010detr\u0101m sl\u0101pek\u013ca lieto\u0161anas metod\u0113m, pied\u0101v\u0101jot vienotu priek\u0161statu par sezonas laik\u0101 izmantot\u0101 sl\u0101pek\u013ca sadal\u012bjumu.<\/p>\n\n\n\n

Visi sniegtie statistikas dati ir absol\u016btos skait\u013cos, m\u0113r\u012bti kg\/ha. Kr\u0101su kod\u0113ta att\u0113lo\u0161ana atvieglo interpret\u0101ciju: sarkana kr\u0101sa apz\u012bm\u0113 apgabalus ar vismaz\u0101ko sl\u0101pek\u013ca daudzumu, bet za\u013ca - re\u0123ionus ar visliel\u0101ko sl\u0101pek\u013ca daudzumu.<\/p>\n\n\n\n

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Kop\u0113jais izmantotais sl\u0101peklis 2023. gad\u0101<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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Sl\u0101pek\u013ca uz\u0146em\u0161ana<\/h2>\n\n\n\n

Sl\u0101pek\u013ca uz\u0146em\u0161ana (NU) atspogu\u013co kop\u0113jo sl\u0101pek\u013ca daudzumu, ko augi pat\u0113r\u0113 vis\u0101 to aug\u0161anas sezon\u0101. Lai prec\u012bzi apr\u0113\u0137in\u0101tu NU, tiek \u0146emtas v\u0113r\u0101 divas kritiskas komponentes: (1) kopprote\u012bna m\u0113r\u012bjums, ko uztver HarvestLab GrainSensing sist\u0113ma, un (2) kop\u0113j\u0101 nov\u0101kt\u0101s ra\u017eas masa.<\/p>\n\n\n\n

Kvie\u0161iem NU sadal\u012bjums ir att\u0113lots absol\u016btos skait\u013cos, m\u0113rot kg\/ha. Detaliz\u0113ts NU \u0123eotelpiskais un statistiskais att\u0113lojums vis\u0101 lauk\u0101 ir redzams pievienotaj\u0101 ekr\u0101nuz\u0146\u0113mum\u0101.<\/p>\n\n\n\n

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Sl\u0101pek\u013ca uz\u0146em\u0161ana 2023. gad\u0101<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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\"Sl\u0101pek\u013ca<\/a>
Sl\u0101pek\u013ca uz\u0146em\u0161anas statistiskais sadal\u012bjums 2023. gad\u0101<\/em><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n

Sl\u0101pek\u013ca izmanto\u0161anas efektivit\u0101te<\/h2>\n\n\n\n

Sl\u0101pek\u013ca izmanto\u0161anas efektivit\u0101te (NUE) kvantific\u0113 pat\u0113r\u0113t\u0101 sl\u0101pek\u013ca attiec\u012bbu pret kop\u0113jo izmantoto sl\u0101pek\u013ca daudzumu, kas izteikts procentos. Atvasin\u0101ts no iepriek\u0161 aprakst\u012bt\u0101s sl\u0101pek\u013ca uz\u0146em\u0161anas (NU) un kop\u0113j\u0101 izmantot\u0101 sl\u0101pek\u013ca daudzuma (TAN), ide\u0101ls NUE r\u0101d\u012bt\u0101js, kas ir tuvu 100%, nor\u0101dot, ka augi ir pat\u0113r\u0113ju\u0161i gandr\u012bz visu izmantoto sl\u0101pekli, optimiz\u0113jot ra\u017eu.<\/p>\n\n\n\n

Tom\u0113r NUE v\u0113rt\u012bbas aptuveni 50% liecina par p\u0101rm\u0113r\u012bgu sl\u0101pek\u013ca lieto\u0161anu ar atliku\u0161o sl\u0101pek\u013ca daudzumu augsn\u0113, savuk\u0101rt v\u0113rt\u012bbas, kas p\u0101rsniedz 100%, nor\u0101da uz nepietiekamu sl\u0101pek\u013ca lieto\u0161anu, augiem izmantojot iepriek\u0161\u0113jo gadu sl\u0101pek\u013ca rezerves.<\/p>\n\n\n\n

Abi scen\u0101riji ir nev\u0113lami: pirmais risk\u0113 ar p\u0101rm\u0113r\u012bgu m\u0113slo\u0161anu, savuk\u0101rt otrais noplicina augsni. \u0160is l\u012bdzsvars ir vizu\u0101li att\u0113lots zem\u0101k eso\u0161aj\u0101 kart\u0113, kur teritorijas, kas tuvojas 50% NUE, ir iekr\u0101sotas sarkan\u0101 kr\u0101s\u0101, bet t\u0101s, kas tuvojas 100%, \u2013 za\u013c\u0101 kr\u0101s\u0101.<\/p>\n\n\n\n

\n
<\/div>\n\n\n\n
\n
\"\"<\/a>
Sl\u0101pek\u013ca izmanto\u0161anas efektivit\u0101te 2023. gad\u0101<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
<\/div>\n<\/div>\n\n\n\n
\n
\n
\"Sl\u0101pek\u013ca<\/a>
Sl\u0101pek\u013ca izmanto\u0161anas efektivit\u0101tes klasteriz\u0101cija 2023. gad\u0101<\/em><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n
\n
\n
\"Sl\u0101pek\u013ca<\/a>
Sl\u0101pek\u013ca izmanto\u0161anas efektivit\u0101tes sadal\u012bjums 2023. gad\u0101<\/em><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n

Sl\u0101pek\u013ca p\u0101rpalikums<\/h2>\n\n\n\n

Sl\u0101pek\u013ca p\u0101rpalikums (NS) m\u0113ra starp\u012bbu starp kop\u0113jo pielietoto sl\u0101pekli (KSN) un sl\u0101pek\u013ca uz\u0146em\u0161anu (NU), ko augi pat\u0113r\u0113 sezonas laik\u0101, izteiktu absol\u016btos skait\u013cos kg\/ha. B\u016bt\u012bb\u0101 tas nor\u0101da sl\u0101pek\u013ca daudzumu, ko augi neizmanto, un tam ir iz\u0161\u0137iro\u0161a noz\u012bme sl\u0101pek\u013ca lieto\u0161anas pl\u0101no\u0161an\u0101 n\u0101kamajai sezonai.<\/p>\n\n\n\n

\u0160\u012b neizmantot\u0101 sl\u0101pek\u013ca \u0123eotelpisko un statistisko sadal\u012bjumu, kas izklied\u0113ts pa visu lauku, var apskat\u012bt zem\u0101k eso\u0161aj\u0101 kart\u0113.<\/p>\n\n\n\n

\n
<\/div>\n\n\n\n
\n
\"\"<\/a>
Sl\u0101pek\u013ca p\u0101rpalikums 2023. gad\u0101<\/figcaption><\/figure>\n<\/div>\n\n\n\n
<\/div>\n<\/div>\n\n\n\n

YieldMass un CrudeProtein sal\u012bdzin\u0101jums<\/h2>\n\n\n\n

J\u0113lprote\u012bna datu izpratne ir b\u016btiska, m\u0113rot ra\u017eu, jo t\u0101 sniedz ieskatu ra\u017eas uzturv\u0113rt\u012bb\u0101 un potenci\u0101laj\u0101 tirgus v\u0113rt\u012bb\u0101. J\u0113lprote\u012bna m\u0113r\u012b\u0161anai tiek izmantota HarvestLab GrainSensing sist\u0113ma, un atsaucei ir pievienots atbilsto\u0161s ekr\u0101nuz\u0146\u0113mums, kur\u0101 par\u0101d\u012bta t\u0101s saikne ar ra\u017eu.<\/p>\n\n\n\n

\n
\n
\"\"<\/a>
Neapstr\u0101d\u0101ta prote\u012bna dati: ra\u017ea 2023-08-08<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
\n
\"\"<\/a>
Kalibr\u0113ti mitr\u0101s masas dati: ra\u017ea 2023-08-08<\/em><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n

Lai kategoriz\u0113tu un izprastu datus, esam noteiku\u0161i konkr\u0113tus robe\u017ev\u0113rt\u012bbas: olbaltumvielu robe\u017ev\u0113rt\u012bbu 12,51 TP3T un ra\u017eas mitr\u0101s masas robe\u017ev\u0113rt\u012bbu 7,9 t\/ha. Pamatojoties uz \u0161\u012bm robe\u017ev\u0113rt\u012bb\u0101m, m\u0113s izmantojam terminus \u201caugst\u0101ks\u201d un \u201czem\u0101ks\u201d, lai defin\u0113tu, k\u0101 nov\u0113rotie dati ir saist\u012bti ar \u0161iem noteiktajiem standartiem. Sal\u012bdzinot un pretstatot \u0161os r\u0101d\u012bt\u0101jus, m\u0113s varam ieg\u016bt v\u0113rt\u012bgas idejas, lai pilnveidotu un uzlabotu agronomisk\u0101s darb\u012bbas n\u0101kamaj\u0101m sezon\u0101m.<\/p>\n\n\n\n

Apvienojot r\u0101d\u012bt\u0101jus vien\u0101 kart\u0113, tiek vizualiz\u0113ta saist\u012bba starp CrudeProtein un WetMass. \u0160is visaptvero\u0161ais att\u0113lojums identific\u0113 \u010detrus at\u0161\u0137ir\u012bgus scen\u0101rijus:<\/p>\n\n\n\n

    \n
  1. Augst\u0101ka ra\u017ea 7,9 t\/ha ar augst\u0101ku 12,5% olbaltumvielu saturu<\/li>\n\n\n\n
  2. Augst\u0101ka ra\u017ea 7,9 t\/ha ar zem\u0101ku 12,5% olbaltumvielu daudzumu<\/li>\n\n\n\n
  3. Zem\u0101ka ra\u017ea par 7,9 t\/ha ar augst\u0101ku 12,5% olbaltumvielu saturu<\/li>\n\n\n\n
  4. Zem\u0101ka ra\u017ea par 7,9 t\/ha ar zem\u0101ku 12,51 TP3T olbaltumvielu daudzumu<\/li>\n<\/ol>\n\n\n\n
    \n
    <\/div>\n\n\n\n
    \n
    \"\"<\/a>
    Ienes\u012bgums pret olbaltumvielu sadal\u012bjumu 2023. gad\u0101<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
    <\/div>\n<\/div>\n\n\n\n

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

    1. Dati:<\/strong> Neman\u0101mi integr\u0113joties ar John Deere oper\u0101ciju centru, GeoPard nodro\u0161ina prec\u012bzu datu ieguvi re\u0101llaik\u0101, veidojot pamatu visai turpm\u0101kajai anal\u012bzei. Ir \u013coti svar\u012bgi iek\u013caut gan faktiskos m\u0113r\u012bjumu datus no HarvestLab GrainSensing sist\u0113mas, gan faktiskos pielieto\u0161anas datus. Kop\u0101 tie nodro\u0161ina nep\u0101rsp\u0113jamu apr\u0113\u0137inu precizit\u0101ti.
    2. Sl\u0101pek\u013ca uz\u0146em\u0161ana (NU) un kop\u0113jais pielietotais sl\u0101peklis (TAN)<\/strong>\u0160ie divi r\u0101d\u012bt\u0101ji ir \u0101rk\u0101rt\u012bgi svar\u012bgi kult\u016braugu audz\u0113t\u0101jiem, kuri v\u0113las izprast sl\u0101pek\u013ca l\u012bdzsvaru un dinamiku savos laukos. Kop\u0101 tie sniedz piln\u012bgu priek\u0161statu par sl\u0101pek\u013ca dz\u012bves ciklu visas sezonas garum\u0101.
    3. Sl\u0101pek\u013ca izmanto\u0161anas efektivit\u0101te (NUE):<\/strong> NIE kalpo k\u0101 galvenais r\u0101d\u012bt\u0101js, lai nov\u0113rt\u0113tu sl\u0101pek\u013ca izmanto\u0161anas kop\u0113jo efektivit\u0101ti lauk\u0101. Nosakot apgabalus ar at\u0161\u0137ir\u012bg\u0101m NIE v\u0113rt\u012bb\u0101m, kult\u016braugu audz\u0113t\u0101ji var noteikt iesp\u0113jas pilnveidot sl\u0101pek\u013ca lieto\u0161anas strat\u0113\u0123ijas un uzlabot kop\u0113jo agronomisko praksi.
    4. Sl\u0101pek\u013ca p\u0101rpalikums (NS):<\/strong> NS sniedz kritiski svar\u012bgu inform\u0101ciju, kas var ietekm\u0113t main\u012bgas m\u0113slo\u0161anas devas (VRA) strat\u0113\u0123ijas gaid\u0101maj\u0101 sezon\u0101. Risinot neizmantot\u0101 sl\u0101pek\u013ca probl\u0113mu, lauksaimnieki var pie\u0146emt p\u0101rdom\u0101tus l\u0113mumus par savu m\u0113slo\u0161anas pl\u0101nu piel\u0101go\u0161anu.<\/p>\n\n\n\n

    No lauksaimnieka viedok\u013ca prec\u012bzas datu v\u0101k\u0161anas apvieno\u0161ana ar ieskatu sniedzo\u0161u anal\u012btiku maina sp\u0113les noteikumus. Runa nav tikai par sl\u0101pek\u013ca lieto\u0161anas l\u012bdzsvara sasnieg\u0161anu. Runa ir par ilgtsp\u0113j\u012bgas kult\u016braugu audz\u0113\u0161anas sare\u017e\u0123\u012bt\u012bbas izpratni, vislab\u0101k\u0101s iesp\u0113jam\u0101s ra\u017eas nodro\u0161in\u0101\u0161anu un zemes vesel\u012bbas saglab\u0101\u0161anu n\u0101kamaj\u0101m sezon\u0101m.<\/p>\n\n\n\n

    Par uz\u0146\u0113mumiem<\/h2>\n\n\n\n

    GeoPard<\/a> ir vado\u0161ais prec\u012bz\u0101s lauksaimniec\u012bbas programmat\u016bras nodro\u0161in\u0101t\u0101js. Uz\u0146\u0113mums tika dibin\u0101ts 2019. gad\u0101 \u0136eln\u0113, V\u0101cij\u0101, un ir p\u0101rst\u0101v\u0113ts vis\u0101 pasaul\u0113. Uz\u0146\u0113mums pied\u0101v\u0101 virkni risin\u0101jumu, kas pal\u012bdz lauksaimniekiem optimiz\u0113t darb\u012bbu un palielin\u0101t ra\u017eu. Koncentr\u0113joties uz ilgtsp\u0113j\u012bbu un re\u0123enerat\u012bvo ekonomiku, GeoPard m\u0113r\u0137is ir populariz\u0113t prec\u012bz\u0101s lauksaimniec\u012bbas praksi vis\u0101 pasaul\u0113.<\/p>\n\n\n\n

    Uz\u0146\u0113muma partneru vid\u016b ir t\u0101di paz\u012bstami z\u012bmoli k\u0101 John Deere, Corteva Agriscience, Pfeifer & Langen, IOWA Sojas pupi\u0146u asoci\u0101cija un daudzi citi.<\/p>\n\n\n\n

    LVA<\/a>, lauksaimniec\u012bbas tehnikas uz\u0146\u0113mums Altenweddingen, ir ilgtermi\u0146a vid\u0113ja lieluma uz\u0146\u0113mums ar fili\u0101l\u0113m Saksij\u0101-Anhalt\u0113, Brandenburg\u0101 un Lejassaksij\u0101. Galven\u0101 uzman\u012bba tiek piev\u0113rsta lauksaimniec\u012bbas tehnikas p\u0101rdo\u0161anai, eksportam, nomai, d\u012bleru darbn\u012bc\u0101m un rezerves da\u013cu pakalpojumiem, k\u0101 ar\u012b agronomiskajiem pakalpojumiem. LVA ir viens no veiksm\u012bg\u0101kajiem John Deere d\u012bleriem Eirop\u0101 jau vair\u0101k nek\u0101 30 gadus.<\/p>\n\n\n\n

    LVA agronomijas noda\u013ca sniedz t\u0101dus pakalpojumus k\u0101 prec\u012bz\u0101s lauksaimniec\u012bbas konsult\u0101cijas, augsnes sken\u0113\u0161ana un datu anal\u012bze, k\u0101 ar\u012b RTK t\u012bkls GPS korekcijai.<\/p>\n\n\n\n

    \u0160odien Altenvedingas fili\u0101l\u0113 str\u0101d\u0101 100 darbinieku, bet cit\u0101s fili\u0101l\u0113s Lejassaksij\u0101, Brandenburg\u0101 un Saksij\u0101-Anhalt\u0113 \u2013 v\u0113l 220 kol\u0113\u0123u. Starp vi\u0146iem ir aptuveni 40 praktikanti.<\/p>","protected":false},"excerpt":{"rendered":"

    M\u016bsdienu lauksaimniec\u012bbas dinamiskaj\u0101 pasaul\u0113 lauksaimnieki saskaras ar vair\u0101kiem izaicin\u0101jumiem, tostarp klimata p\u0101rmai\u0146u ietekmi, pieaugo\u0161aj\u0101m m\u0113slo\u0161anas l\u012bdzek\u013cu izmaks\u0101m un neatliekamo nepiecie\u0161am\u012bbu p\u0113c\u2026<\/p>","protected":false},"author":210249433,"featured_media":8908,"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,"_jetpack_feature_clip_id":0,"_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":[1367],"tags":[],"class_list":["post-8669","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-use-cases"],"acf":[],"yoast_head":"\nNitrogen Use Efficiency. Use Case from LVA \u2013 John Deere Dealer from Germany - 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\/slapekla-izmantosanas-efektivitates-lietosanas-gadijums-no-lva-john-deere-dilera-no-vacijas\/\" \/>\n<meta property=\"og:locale\" content=\"lv_LV\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Nitrogen Use Efficiency. 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