{"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":"caz-de-utilizare-a-eficientei-utilizarii-azotului-de-la-distribuitorul-lva-john-deere-din-germania","status":"publish","type":"post","link":"https:\/\/geopard.tech\/ro\/blog\/nitrogen-use-efficiency-use-case-from-lva-john-deere-dealer-from-germany\/","title":{"rendered":"Eficien\u021ba utiliz\u0103rii azotului. Caz de utilizare de la LVA - dealer John Deere din Germania"},"content":{"rendered":"

\u00cen lumea dinamic\u0103 a agriculturii moderne, fermierii se confrunt\u0103 cu multiple provoc\u0103ri, inclusiv impactul schimb\u0103rilor climatice, cre\u0219terea costurilor \u00eengr\u0103\u0219\u0103mintelor \u0219i nevoia stringent\u0103 de practici sustenabile din punct de vedere ecologic. Gestionarea azotului este esen\u021bial\u0103, un nutrient esen\u021bial care, dac\u0103 este gestionat gre\u0219it, poate duce la consecin\u021be semnificative asupra mediului. <\/p>\n\n\n\n

Totu\u0219i, \u00een mijlocul acestor complexit\u0103\u021bi, dou\u0103 indicatori apar ca solu\u021bii \u0219i schimb\u0103ri radicale: Eficien\u021ba utiliz\u0103rii azotului (NUE) \u0219i Absorb\u021bia azotului (NU). NUE \u0219i NU ofer\u0103 o nou\u0103 paradigm\u0103 \u00een practicile agricole, transform\u00e2nd provoc\u0103rile \u00een oportunit\u0103\u021bi pentru o agricultur\u0103 durabil\u0103 \u0219i eficient\u0103.<\/p>\n\n\n\n

John Deere, un produc\u0103tor important de echipamente agricole, joac\u0103 un rol esen\u021bial \u00een abordarea acestor provoc\u0103ri. Prin intermediul sistemului lor HarvestLab GrainSensing, ofer\u0103 date cruciale despre proteina brut\u0103, permi\u021b\u00e2nd o \u00een\u021belegere mai nuan\u021bat\u0103 a dinamicii azotului din culturi. \u00cen plus, John Deere sus\u021bine integrarea tehnologiilor moderne pentru a face agricultura mai sustenabil\u0103.<\/p>\n\n\n\n

\u00cen aceast\u0103 misiune, reprezentan\u021bele John Deere precum LVA reprezint\u0103 alia\u021bi cruciali. LVA, o reprezentan\u021b\u0103 John Deere inovatoare din Germania, lucreaz\u0103 \u00eendeaproape cu fermierii pentru a integra noi tehnologii \u0219i a implementa strategii agronomice avansate. Rolul lor este esen\u021bial \u00een a ajuta fermierii s\u0103 navigheze prin complexit\u0103\u021bile agriculturii moderne, asigur\u00e2ndu-se c\u0103 ace\u0219tia profit\u0103 la maximum de tehnologiile disponibile pentru a-\u0219i optimiza practicile.<\/p>\n\n\n\n

\u00cen solul fertil al Magdeburger B\u00f6rde se afl\u0103 povestea Baumg\u00e4rtel GbR, o ferm\u0103 de familie cu 30 de ani de tradi\u021bie agricol\u0103, unde gr\u00e2ul este una dintre principalele culturi. La aceast\u0103 ferm\u0103, gestionarea precis\u0103 a azotului merge dincolo de optimizarea randamentului culturilor: este vorba despre un angajament fa\u021b\u0103 de o agricultur\u0103 durabil\u0103 \u00een fa\u021ba provoc\u0103rilor globale de mediu.<\/p>\n\n\n\n

GeoPard, \u00een calitate de furnizor important de software pentru agricultura de precizie, ac\u021bioneaz\u0103 ca liantul care conecteaz\u0103 ace\u0219ti piloni \u2013 John Deere, LVA \u0219i fermieri precum cei de la Baumg\u00e4rtel GbR. GeoPard simplific\u0103 gestionarea datelor \u0219i automatizeaz\u0103 procesele analitice, transform\u00e2nd datele \u00een informa\u021bii utile. \u00cen acest caz, concentrarea lor pe eficien\u021ba utiliz\u0103rii azotului ofer\u0103 o perspectiv\u0103 prin care fermierii \u00ee\u0219i pot vizualiza \u0219i \u00eembun\u0103t\u0103\u021bi practicile, asigur\u00e2nd sustenabilitatea \u0219i eficien\u021ba \u00een fiecare aspect al opera\u021biunilor lor.<\/p>\n\n\n\n

Managementul azotului la Ferma Baumg\u00e4rtel<\/h2>\n\n\n\n

Familia Baumg\u00e4rtel, sub conducerea lui Friedrich Baumg\u00e4rtel, \u00eembr\u0103\u021bi\u0219eaz\u0103 poten\u021bialul agriculturii bazate pe date pentru a-\u0219i rafina strategiile de fertilizare \u0219i a introduce noi tehnici, toate cu scopul de a-\u0219i \u00eembun\u0103t\u0103\u021bi practicile agronomice.<\/p>\n\n\n\n

Elementul central al strategiei lor este gestionarea azotului. Anul 2023 a adus o prim\u0103var\u0103 ploioas\u0103 \u0219i un \u00eenceput de var\u0103 uscat la Magdeburger B\u00f6rde, rezult\u00e2nd randamente medii. Pentru a face fa\u021b\u0103 acestor condi\u021bii, familia Baumg\u00e4rtel a utilizat metode specifice amplasamentului pentru a ajusta cu precizie aplic\u0103rile de azot. <\/p>\n\n\n\n

\u00cen plus, au folosit sistemul HarvestLab GrainSensing pentru a m\u0103sura proteina brut\u0103 din cerealele recoltate. Ulterior, folosind GeoPard, a fost estimat consumul de azot al culturii, permi\u021b\u00e2nd calcularea eficien\u021bei utiliz\u0103rii azotului (NUE) cu o precizie ridicat\u0103.<\/p>\n\n\n\n

Pentru familia Baumg\u00e4rtel, NUE a devenit o metric\u0103 esen\u021bial\u0103. Aceasta identific\u0103 zonele care necesit\u0103 ajust\u0103ri \u00een strategiile lor de aplicare a azotului. \u00cen zonele \u00een care NUE scade sub 80%, ace\u0219tia inten\u021bioneaz\u0103 s\u0103 reduc\u0103 aplicarea azotului \u00een sezonul urm\u0103tor. \u00cen schimb, zonele \u00een care NUE dep\u0103\u0219e\u0219te 100% necesit\u0103 analize aprofundate, o provocare pe care o prev\u0103d c\u0103 va necesita mai multe sezoane de observare atent\u0103 \u0219i \u00eenv\u0103\u021bare.<\/p>\n\n\n\n

Cooperarea dintre LVA \u0219i GeoPard Agriculture<\/h2>\n\n\n\n

\u00cen 2022, s-a format o alian\u021b\u0103 strategic\u0103 \u00eentre GeoPard \u0219i compania de utilaje agricole LVA Altenweddingen, dealerul inovator John Deere din Germania. Aceast\u0103 colaborare s-a n\u0103scut dintr-o viziune comun\u0103 de a valorifica datele extinse ale John Deere \u00een informa\u021bii concrete pe teren.<\/p>\n\n\n\n

De atunci, parteneriatul a crescut, concentr\u00e2ndu-se pe modalit\u0103\u021bi inovatoare de \u00eembun\u0103t\u0103\u021bire a practicilor agricole prin decizii bazate pe date. \u00cen sec\u021biunile urm\u0103toare, vom eviden\u021bia modul \u00een care fermierii profit\u0103 la maximum de utilizarea azotului.<\/p>\n\n\n\n

Michael Eckhardt, \u0219eful departamentului de agricultur\u0103 de precizie de la LVA<\/a>, a men\u021bionat: \u201cSinergia dintre GeoPard \u0219i LVA este mai mult dec\u00e2t un simplu parteneriat de afaceri; este un angajament de a revolu\u021biona practicile agronomice aplicate prin decizii bazate pe date.\u201d. <\/p>\n\n\n\n

Aceast\u0103 colaborare este dedicat\u0103 oferirii fermierilor de informa\u021bii agronomice \u00eembun\u0103t\u0103\u021bite. LVA, cu serviciile sale agronomice extinse, valorific\u0103 puterea echipamentelor John Deere, cum ar fi sistemul HarvestLab GrainSensor, pentru a colecta date cruciale. <\/p>\n\n\n\n

Pe de alt\u0103 parte, motorul analitic al GeoPard proceseaz\u0103 aceste date, oferind informa\u021bii utile. \u00cempreun\u0103, acest parteneriat formeaz\u0103 o alian\u021b\u0103, concentr\u00e2ndu-se pe \u00eembun\u0103t\u0103\u021birea practicilor fermierilor (cum ar fi \u00een ceea ce prive\u0219te gestionarea azotului) prin combinarea celor mai bune tehnologii din domeniul utilajelor \u0219i al software-ului.\u2019<\/p>\n\n\n\n

Capturarea \u0219i preg\u0103tirea datelor<\/h2>\n\n\n\n

\u00cen centrul acestei evolu\u021bii agricole bazate pe date se afl\u0103 integrarea perfect\u0103 dintre GeoPard \u0219i Centrul de Opera\u021biuni John Deere<\/a>. Aceast\u0103 colaborare exemplific\u0103 rolul esen\u021bial al John Deere \u00een furnizarea accesului la date prin intermediul API-ului lor, o mi\u0219care care \u00eembog\u0103\u021be\u0219te semnificativ fluxul de date primite de pe c\u00e2mpurile agricole. <\/p>\n\n\n\n

Integrarea asigur\u0103 c\u0103, imediat ce opera\u021biunile sunt documentate \u00een Centrul de Opera\u021biuni John Deere, GeoPard le colecteaz\u0103 rapid. Acest proces imediat de recuperare a datelor acoper\u0103 recoltarea (cu detalii precum datele privind proteina brut\u0103 \u0219i consumul de combustibil) \u0219i aplica\u021bii precum pulverizarea, fertilizarea, sem\u0103natul \u0219i aratul solului.<\/p>\n\n\n\n

Aceast\u0103 conexiune simplificat\u0103 nu este exclusiv\u0103 John Deere; principiul de baz\u0103 al platformei GeoPard este compatibilitatea sa cu diver\u0219i furnizori de date despre utilaje, facilit\u00e2nd conexiunile prin API. <\/p>\n\n\n\n

Odat\u0103 cu fluxul perfect de date \u00een sistemul GeoPard, cultivatorii beneficiaz\u0103 de informa\u021bii analitice aproape \u00een timp real. Acest transfer prompt de date este piatra de temelie a ini\u021bierii unor suite analitice automatizate, cum ar fi analiza eficien\u021bei utiliz\u0103rii azotului, asigur\u00e2ndu-se c\u0103 cultivatorii au la dispozi\u021bie informa\u021bii concrete \u0219i concrete.<\/p>\n\n\n\n

Domeniu<\/strong><\/h2>\n\n\n\n

\u00cen 2023, Baumg\u00e4rtel GbR s-a confruntat cu provocarea de a optimiza cre\u0219terea pe c\u00e2mp. Pentru a realiza acest lucru, azotul a fost aplicat de patru ori, \u00eencep\u00e2nd cu SSA \u00een februarie, urmat de trei aplic\u0103ri de AHL \u00een prim\u0103var\u0103. Aceste aplic\u0103ri pe c\u00e2mp au fost ajustate fin folosind o metod\u0103 specific\u0103 amplasamentului. \u00cen plus, sistemul HarvestLab GrainSensing a jucat un rol crucial \u00een dezv\u0103luirea distribu\u021biei proteinelor brute \u00een boabele recoltate.<\/p>\n\n\n\n

Recolta<\/h2>\n\n\n\n

Explora\u021bi complexitatea celei mai recente recolte din 08.08.2023 prin intermediul urm\u0103toarelor capturi de ecran furnizate. Acest set de date crucial, preluat f\u0103r\u0103 probleme de la Centrul de Opera\u021biuni John Deere de c\u0103tre GeoPard \u00eentr-un mod automat, prezint\u0103 echilibrul delicat dintre straturile de date privind proteina brut\u0103 \u0219i masa umed\u0103 captate \u00een timpul recoltei.<\/p>\n\n\n\n

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\"\"<\/a>
Date privind proteina brut\u0103: Recolta 2023-08-08<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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\"\"<\/a>
Date privind masa umed\u0103: Recolta 2023-08-08<\/em><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n

De\u0219i datele privind recoltarea pot prezenta ocazional varia\u021bii, implementarea Calibrarea randamentului<\/a> \u00eembun\u0103t\u0103\u021be\u0219te semnificativ precizia analitic\u0103. Acest lucru asigur\u0103 informa\u021bii fiabile, chiar \u0219i \u00een cazul unor valori excep\u021bionale, cum ar fi 19 t\/ha pentru gr\u00e2u. Masa umed\u0103 calibrat\u0103 este prezentat\u0103 mai jos.<\/p>\n\n\n\n

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<\/div>\n\n\n\n
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Date calibrate privind masa umed\u0103: Recolta 2023-08-08<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
<\/div>\n<\/div>\n\n\n\n

Opera\u021biuni de fertilizare cu produse azotate aplicate<\/strong><\/h2>\n\n\n\n

Pe parcursul sezonului 2023, cultura de gr\u00e2u a fost tratat\u0103 cu un regim de aplicare a azotului atent planificat, care a implicat patru tratamente distincte. Aceasta a inclus o aplicare a produselor SSA pe 23.02.2023, urmat\u0103 de trei aplic\u0103ri de azot AHL \u00een prim\u0103var\u0103, pe 18.03.2023, 06.04.2023 \u0219i 13.05.2023. Cantit\u0103\u021bile exacte aplicate \u00een fiecare tratament sunt documentate \u00een capturile de ecran furnizate.<\/p>\n\n\n\n

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Aplicare azot: 23.02.2023 SSA<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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Aplicare azot: 18.03.2023 AHL<\/em><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n
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Aplicare azot: 2023-04-06 AHL<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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Aplicare azot: 13.05.2023 AHL<\/em><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n

GeoPard a jucat un rol crucial \u00een acest proces prin preluarea f\u0103r\u0103 probleme a acestor seturi de date de la Centrul de Opera\u021biuni John Deere. Aceast\u0103 recuperare eficient\u0103 a datelor a preg\u0103tit scena pentru o analiz\u0103 cuprinz\u0103toare a Eficien\u021bei Utiliz\u0103rii Azotului (NUE) \u0219i a Absorb\u021biei Azotului (NU). Prin analizarea acestor date, transform\u0103m informa\u021biile brute \u00een perspective valoroase, deschiz\u00e2nd calea pentru opera\u021biuni \u0219i strategii agronomice \u00eembun\u0103t\u0103\u021bite.<\/p>\n\n\n\n

Azot total aplicat<\/h2>\n\n\n\n

Azotul total aplicat (TAN) cuantific\u0103 cantitatea cumulat\u0103 de azot aplicat\u0103 pe c\u00e2mp, prezentat\u0103 \u00een numere absolute, \u00een kg\/ha. Aceast\u0103 metric\u0103 este derivat\u0103 din suma produselor de azot aplicate efectiv pe parcursul sezonului de cultur\u0103.<\/p>\n\n\n\n

Pentru a asigura cea mai mare acurate\u021be a evalu\u0103rii, au fost utilizate doar datele efective aplicate, excluz\u00e2nd cifrele \u021bint\u0103 \u0219i planificate. O astfel de abordare ia \u00een considerare \u0219i zonele cu azot aplicat \u00een exces \u0219i \u00een exces.<\/p>\n\n\n\n

Aprofund\u00e2nd analiza, am examinat fiecare metru p\u0103trat pentru a oferi cultivatorilor o \u00een\u021belegere detaliat\u0103 a cantit\u0103\u021bilor de azot aplicate pe hectar. Harta de mai jos consolideaz\u0103 informa\u021biile din toate cele patru aplic\u0103ri de azot, oferind o imagine unificat\u0103 a distribu\u021biei azotului aplicat \u00een timpul sezonului.<\/p>\n\n\n\n

Toate datele statistice prezentate sunt \u00een termeni absolu\u021bi, m\u0103surate \u00een kg\/ha. Reprezentarea prin culori ajut\u0103 la o interpretare u\u0219oar\u0103: ro\u0219u indic\u0103 zonele cu cel mai pu\u021bin azot aplicat, \u00een timp ce verde indic\u0103 regiunile cu cel mai mult azot aplicat.<\/p>\n\n\n\n

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Azot total aplicat 2023<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
<\/div>\n<\/div>\n\n\n\n

Absorb\u021bia de azot<\/h2>\n\n\n\n

Absorb\u021bia de azot (UN) reprezint\u0103 cantitatea total\u0103 de azot consumat\u0103 de plante pe parcursul sezonului lor de cre\u0219tere. Pentru a calcula cu precizie UN, sunt luate \u00een considerare dou\u0103 componente critice: (1) m\u0103surarea proteinei brute, a\u0219a cum este captat\u0103 de sistemul HarvestLab GrainSensing \u0219i (2) masa total\u0103 a randamentului recoltat.<\/p>\n\n\n\n

Pentru gr\u00e2u, distribu\u021bia NU este prezentat\u0103 \u00een termeni absolu\u021bi, m\u0103surat\u0103 \u00een kg\/ha. O reprezentare geospa\u021bial\u0103 \u0219i statistic\u0103 detaliat\u0103 a NU pe \u00eentregul c\u00e2mp poate fi v\u0103zut\u0103 \u00een captura de ecran al\u0103turat\u0103.<\/p>\n\n\n\n

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Absorb\u021bia de azot 2023<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
<\/div>\n<\/div>\n\n\n\n
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\"Distribu\u021bia<\/a>
Distribu\u021bia statistic\u0103 a absorb\u021biei de azot \u00een 2023<\/em><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n

Eficien\u021ba utiliz\u0103rii azotului<\/h2>\n\n\n\n

Eficien\u021ba utiliz\u0103rii azotului (NUE) cuantific\u0103 raportul dintre azotul consumat \u0219i azotul total aplicat, exprimat \u00een procente. Derivat\u0103 din absorb\u021bia azotului (NU) \u0219i azotul total aplicat (TAN) descrise anterior, o NUE apropiat\u0103 de 100% este ideal\u0103, indic\u00e2nd faptul c\u0103 plantele au consumat aproape tot azotul aplicat, optimiz\u00e2nd randamentul.<\/p>\n\n\n\n

Cu toate acestea, valorile NUE \u00een jur de 50% sugereaz\u0103 o supraaplicare cu azot rezidual \u00een sol, \u00een timp ce valorile care dep\u0103\u0219esc 100% indic\u0103 o subaplicare, plantele consum\u00e2nd azot din rezervele de azot din anii preceden\u021bi.<\/p>\n\n\n\n

Ambele scenarii sunt nedorite: primul risc\u0103 fertilizarea excesiv\u0103, \u00een timp ce cel de-al doilea epuizeaz\u0103 solul. Acest echilibru este reprezentat vizual pe harta de mai jos, cu zone apropiate de 50% NUE colorate \u00een ro\u0219u, iar cele apropiate de 100% colorate \u00een verde.<\/p>\n\n\n\n

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Eficien\u021ba utiliz\u0103rii azotului 2023<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
<\/div>\n<\/div>\n\n\n\n
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\"Clusterizarea<\/a>
Clusterizarea eficien\u021bei utiliz\u0103rii azotului 2023<\/em><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n
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\"Distribu\u021bia<\/a>
Distribu\u021bia eficien\u021bei utiliz\u0103rii azotului \u00een 2023<\/em><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n

Surplus de azot<\/h2>\n\n\n\n

Surplusul de azot (NS) m\u0103soar\u0103 diferen\u021ba dintre azotul total aplicat (TAN) \u0219i absorb\u021bia de azot (UN) pe care plantele o consum\u0103 \u00een timpul unui sezon, exprimat\u0103 \u00een termeni absolu\u021bi \u00een kg\/ha. \u00cen esen\u021b\u0103, indic\u0103 cantitatea de azot neutilizat\u0103 de plante, care joac\u0103 un rol esen\u021bial \u00een planificarea aplic\u0103rii azotului pentru sezonul urm\u0103tor.<\/p>\n\n\n\n

Distribu\u021bia geospa\u021bial\u0103 \u0219i statistic\u0103 a acestui azot neutilizat, r\u0103sp\u00e2ndit pe teren, poate fi vizualizat\u0103 pe harta de mai jos.<\/p>\n\n\n\n

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Surplus de azot 2023<\/figcaption><\/figure>\n<\/div>\n\n\n\n
<\/div>\n<\/div>\n\n\n\n

Compara\u021bie dintre masa randamentului \u0219i proteina brut\u0103<\/h2>\n\n\n\n

\u00cen\u021belegerea datelor privind proteina brut\u0103 este esen\u021bial\u0103 atunci c\u00e2nd se m\u0103soar\u0103 randamentul, deoarece ofer\u0103 informa\u021bii despre calitatea nutri\u021bional\u0103 \u0219i valoarea poten\u021bial\u0103 de pia\u021b\u0103 a culturii. Sistemul HarvestLab GrainSensing este utilizat pentru a m\u0103sura proteina brut\u0103, iar o captur\u0103 de ecran corespunz\u0103toare care prezint\u0103 leg\u0103tura sa cu randamentul este ata\u0219at\u0103 pentru referin\u021b\u0103.<\/p>\n\n\n\n

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Date privind proteina brut\u0103: Recolta 2023-08-08<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
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Date calibrate privind masa umed\u0103: Recolta 2023-08-08<\/em><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n

Pentru a clasifica \u0219i \u00een\u021belege datele, am stabilit praguri specifice: un prag de proteine la 12,51 t\/ha \u0219i un prag de mas\u0103 umed\u0103 pentru randament la 7,9 t\/ha. Pe baza acestor praguri, folosim termenii \u201cmai mare\u201d \u0219i \u201cmai mic\u201d pentru a delimita modul \u00een care datele observate se raporteaz\u0103 la aceste standarde stabilite. Prin compararea \u0219i contrastarea acestor valori, putem extrage idei valoroase pentru a rafina \u0219i \u00eembun\u0103t\u0103\u021bi opera\u021biunile agronomice pentru sezoanele ulterioare.<\/p>\n\n\n\n

Prin combinarea indicatorilor pe o singur\u0103 hart\u0103, este vizualizat\u0103 rela\u021bia dintre Proteine brute \u0219i Masa umed\u0103. Aceast\u0103 reprezentare cuprinz\u0103toare identific\u0103 patru scenarii distincte:<\/p>\n\n\n\n

    \n
  1. Randament mai mare de 7,9 t\/ha cu o cantitate mai mare de proteine de 12,51 t\/ha<\/li>\n\n\n\n
  2. Randament mai mare de 7,9 t\/ha cu proteine mai mici de 12,51 t\/ha<\/li>\n\n\n\n
  3. Randament mai mic de 7,9 t\/ha cu o cantitate mai mare de proteine de 12,51 t\/ha<\/li>\n\n\n\n
  4. Randament mai mic de 7,9 t\/ha cu protein\u0103 mai mic\u0103 de 12,51 t\/ha<\/li>\n<\/ol>\n\n\n\n
    \n
    <\/div>\n\n\n\n
    \n
    \"\"<\/a>
    Randament vs. Distribu\u021bia Proteinelor 2023<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n
    <\/div>\n<\/div>\n\n\n\n

    Concluzie<\/h2>\n\n\n\n

    1. Date:<\/strong> Prin integrarea perfect\u0103 cu Centrul de Opera\u021biuni John Deere, GeoPard asigur\u0103 capturarea precis\u0103 \u0219i \u00een timp real a datelor, form\u00e2nd baza tuturor analizelor ulterioare. Integrarea datelor m\u0103surate efectiv de la sistemul HarvestLab GrainSensing \u0219i a datelor aplicate efective este vital\u0103. \u00cempreun\u0103, acestea asigur\u0103 o precizie de neegalat \u00een calcule.
    2. Absorb\u021bia de azot (NU) \u0219i azotul total aplicat (TAN)<\/strong>Aceste dou\u0103 valori sunt esen\u021biale pentru cultivatorii care doresc s\u0103 \u00een\u021beleag\u0103 echilibrul \u0219i dinamica azotului \u00een c\u00e2mpurile lor. \u00cempreun\u0103, ele ofer\u0103 o imagine complet\u0103 a ciclului de via\u021b\u0103 al azotului pe parcursul unui sezon.
    3. Eficien\u021ba utiliz\u0103rii azotului (NUE):<\/strong> Indicele de eficien\u021b\u0103 energetic\u0103 natural\u0103 (NUE) serve\u0219te ca indicator cheie pentru evaluarea eficacit\u0103\u021bii generale a utiliz\u0103rii azotului \u00eentr-un c\u00e2mp. Prin identificarea zonelor cu valori NUE variabile, cultivatorii pot identifica oportunit\u0103\u021bi de a-\u0219i rafina strategiile de aplicare a azotului \u0219i de a \u00eembun\u0103t\u0103\u021bi practicile agronomice generale.
    4. Surplus de azot (NS):<\/strong> NS ofer\u0103 informa\u021bii esen\u021biale care pot influen\u021ba strategiile de aplicare cu rat\u0103 variabil\u0103 (VRA) pentru sezonul urm\u0103tor. Prin abordarea azotului r\u0103mas neutilizat, fermierii pot lua decizii informate pentru a-\u0219i ajusta planurile de aplicare.<\/p>\n\n\n\n

    Din perspectiva unui fermier, \u00eembinarea colect\u0103rii precise a datelor cu analize aprofundate schimb\u0103 regulile jocului. Nu este vorba doar despre atingerea unui echilibru \u00een aplicarea azotului. Este vorba despre \u00een\u021belegerea complexit\u0103\u021bii cultiv\u0103rii durabile a culturilor, asigurarea celor mai bune randamente posibile \u0219i men\u021binerea s\u0103n\u0103t\u0103\u021bii terenului pentru sezoanele viitoare.<\/p>\n\n\n\n

    Despre companii<\/h2>\n\n\n\n

    GeoPard<\/a> este un furnizor important de software pentru agricultura de precizie. Compania a fost fondat\u0103 \u00een 2019 la K\u00f6ln, Germania, \u0219i este reprezentat\u0103 la nivel global. Compania ofer\u0103 o gam\u0103 de solu\u021bii care ajut\u0103 fermierii s\u0103 \u00ee\u0219i optimizeze opera\u021biunile \u0219i s\u0103 creasc\u0103 randamentele. Concentr\u00e2ndu-se pe sustenabilitate \u0219i economie regenerativ\u0103, GeoPard \u00ee\u0219i propune s\u0103 promoveze practicile agricole de precizie \u00een \u00eentreaga lume.<\/p>\n\n\n\n

    Printre partenerii companiei se num\u0103r\u0103 m\u0103rci renumite precum John Deere, Corteva Agriscience, Pfeifer & Langen, Asocia\u021bia de Soia din IOWA \u0219i multe altele.<\/p>\n\n\n\n

    LVA<\/a>, LVA, \u00eentreprinderea de utilaje agricole Altenweddingen, este o companie mijlocie cu o vast\u0103 experien\u021b\u0103 \u00een domeniu, cu filiale \u00een Saxonia-Anhalt, Brandenburg \u0219i Saxonia Inferioar\u0103. Se concentreaz\u0103 pe v\u00e2nz\u0103ri, export, \u00eenchiriere, service pentru ateliere \u0219i piese de schimb pentru utilaje agricole, precum \u0219i servicii agronomice. LVA este unul dintre cei mai de succes dealeri John Deere din Europa de peste 30 de ani.<\/p>\n\n\n\n

    Departamentul agronomic al LVA ofer\u0103 servicii precum consultan\u021b\u0103 \u00een agricultura de precizie, scanare a solului \u0219i analiz\u0103 de date, re\u021bea RTK pentru corec\u021bie GPS.<\/p>\n\n\n\n

    Ast\u0103zi, la loca\u021bia din Altenweddingen lucreaz\u0103 100 de angaja\u021bi \u0219i al\u021bi 220 de colegi la celelalte loca\u021bii din Saxonia Inferioar\u0103, Brandenburg \u0219i Saxonia-Anhalt. Printre ace\u0219tia se num\u0103r\u0103 aproximativ 40 de stagiari.<\/p>","protected":false},"excerpt":{"rendered":"

    \u00cen lumea dinamic\u0103 a agriculturii moderne, fermierii se confrunt\u0103 cu multiple provoc\u0103ri, inclusiv impactul schimb\u0103rilor climatice, cre\u0219terea costurilor \u00eengr\u0103\u0219\u0103mintelor \u0219i nevoia stringent\u0103 de...<\/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":"","_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":[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. 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