{"id":4720,"date":"2022-05-18T14:43:44","date_gmt":"2022-05-18T12:43:44","guid":{"rendered":"https:\/\/geopard.tech\/?p=4720"},"modified":"2023-05-27T08:22:53","modified_gmt":"2023-05-27T06:22:53","slug":"tiksliosios-zemdirbystes-pagrindai-darbo-privalumai","status":"publish","type":"post","link":"https:\/\/geopard.tech\/lt\/blog\/precision-agriculture-basics-working-benefits\/","title":{"rendered":"Tiksli \u017eemdirbyst\u0117 \u2013 pagrindai, veikimas, nauda"},"content":{"rendered":"

Ar \u017einote, kaip tikslioji \u017eemdirbyst\u0117 gali pad\u0117ti jums, kaip \u016bkininkui ar su \u017eem\u0117s \u016bkio verslu susijusiam asmeniui? Ji gali padidinti ekonomin\u012f efektyvum\u0105 (15%), optimaliai paskirstant \u017eem\u0117s \u016bkio s\u0105naud\u0173 i\u0161teklius ir tuo pa\u010diu suma\u017einant \u017eem\u0117s \u016bkio s\u0105naudas augalininkyst\u0117je iki 40%.<\/p>\n

Tuo pa\u010diu metu tai taip pat padeda nustatyti pas\u0117li\u0173 produktyvumo zonas pagal derli\u0173. Verta pamin\u0117ti, kad vidutinis derliaus skirtumas didelio ir ma\u017eo pas\u0117li\u0173 produktyvumo zonose gali siekti net 400%.<\/p>\n

Kaip tai veikia<\/h2>\n

\u201eGeoPard\u201c remia tvarum\u0105 \u017eem\u0117s \u016bkio sektoriuje. Atminkite, kad m\u016bs\u0173 laikais n\u0117ra geresn\u0117s alternatyvos tvarumui ir tiksliajam \u016bkininkavimui pasiekti nei did\u017ei\u0173j\u0173 duomen\u0173 analiz\u0117.<\/p>\n

M\u016bs\u0173 tiksliosios \u017eemdirbyst\u0117s sprendimas saugo palydovinius duomenis, technikos duomenis, didelio tankio skeneri\u0173 duomenis, topografij\u0105, dron\u0173 vaizdus ir dirvo\u017eemio m\u0117gini\u0173 duomenis, kad b\u016bt\u0173 galima kaupti didel\u0119 analiz\u0119.<\/p>\n

Tod\u0117l m\u016bs\u0173 sprendimas generuoja \u017eem\u0117lapius, automatizuotas rekomendacijas, lyginam\u0105j\u0105 analiz\u0119, i\u0161sam\u0173 \u017eem\u0117s profil\u012f, tvarumo duomenis, pvz., anglies dioksido kompensavim\u0105, ir biologin\u0119 \u012fvairov\u0119.<\/p>\n

Galite steb\u0117ti tai mobiliuosiuose \u012frenginiuose, internete, \u017eem\u0117s \u016bkio technikoje ir \u012frangoje bei kitose platformose ir sprendimuose.<\/p>\n

Kaip \u017einome, \u017eem\u0117s \u016bkyje met\u0173 laikai skiriasi. Tod\u0117l \u201eGeoPard\u201c padeda automatizuoti agronomijos darbo eig\u0105 visose \u0161iose sezonin\u0117se veiklose.<\/p>\n

Tai apima sezono planavim\u0105, dirvo\u017eemio m\u0117gini\u0173 \u0117mim\u0105, s\u0117j\u0105, tr\u0119\u0161im\u0105, pur\u0161kim\u0105, d\u017eiovinim\u0105 ir analiz\u0119 po derliaus nu\u0117mimo.<\/p>\n

\u201eGeoPard\u201c tiksliosios \u017eemdirbyst\u0117s \u012frankiai ir j\u0173 privalumai<\/h2>\n

\u010cia aptarsime \u012frankius ir privalumus, kuriuos \u201eGeoPard\u201c si\u016blo savo klientams kaip paslaugas.<\/p>\n

1. Daugiasluoksniai \u017eem\u0117lapiai<\/strong><\/p>\n

\u201eGeoPard\u201c si\u016blo duomen\u0173 sluoksni\u0173 derinys<\/a>. Priklausomai nuo galim\u0173 sluoksni\u0173, galite apibr\u0117\u017eti valdymo zonas, lanks\u010diai nustatydami kiekvieno sluoksnio svor\u012f.<\/p>\n

Pateiksime trump\u0105 pavyzd\u012f. Galite pasirinkti 8 met\u0173 istorin\u012f produktyvum\u0105 kaip svor\u012f = 1 ir nuolyd\u012f kaip svor\u012f = -1.<\/p>\n

Skirtingi sluoksniai susijungia ir suteikia verting\u0173 duomen\u0173, leid\u017eian\u010di\u0173 priimti tinkamus sprendimus d\u0117l tiksliosios \u017eemdirbyst\u0117s. Pavyzd\u017eiui, palydoviniai vaizdai<\/a> gali b\u016bti derinami su dirvo\u017eemio EC (elektrinio laidumo) duomenimis, taip pat dirvo\u017eemio m\u0117gini\u0173 \u0117mimas gali b\u016bti naudingas topografijai. Taip pat gali b\u016bti ir keli\u0173 duomen\u0173 derinys vegetacijos indeksai<\/a>.<\/p>\n

2. Automatiniai lauko potencialo \u017eem\u0117lapiai ir heterogeni\u0161kumas<\/strong><\/p>\n

Naudodamiesi \u201eGeoPard\u201c privalumais, galite automatizuoti daugiame\u010diai lauko potencialo \u017eem\u0117lapiai<\/a> \u2013 iki 30 met\u0173 ir sukaupta per pastaruosius penkerius metus \u2013 tai labai artima faktiniam derliaus duomenys<\/a>. Su pagalba heterogeni\u0161kumo indeksas<\/a>, galite nustatyti \u017eem\u0117s \u016bkio veiklos prioritetus ir lyginti laukus.<\/p>\n

3. 3D \u017eem\u0117lapiai<\/strong><\/p>\n

3D \u017eem\u0117lapiai<\/a> pad\u0117ti valdyti atskirus \u017eem\u0117s sklypus ir suprasti, kaip topografija veikia dirvo\u017eemio savybes, augmenij\u0105 ir derli\u0173. Tuo pa\u010diu metu galima nustatyti ir geoprin\u0117s erdv\u0117s priklausomybes tarp duomen\u0173 sluoksni\u0173. Taip pat galite derinti bazin\u012f sluoksn\u012f ir dangos zon\u0173 \u017eem\u0117lap\u012f, kad priimtum\u0117te pagr\u012fstus sprendimus d\u0117l tiksliosios \u017eemdirbyst\u0117s.<\/p>\n

J\u016bs\u0173 \u017einiai, bazinis sluoksnis gali apimti topografinius duomenis, nuolyd\u012f, reljefo pad\u0117t\u012f, dirvo\u017eemio savybes arba augmenijos pasiskirstym\u0105.<\/p>\n

Kita vertus, dangos zon\u0173 \u017eem\u0117lapis gali apimti zonas pagal derli\u0173, istorin\u0119 augmenij\u0105, organines med\u017eiagas, elektrin\u012f laidum\u0105 ir pH pasiskirstym\u0105.<\/p>\n

Be to, \u012fdomu tai, kad 3D model\u012f galite vizualizuoti i\u0161 karto nar\u0161ykl\u0117je ir nereikia diegti jokios papildomos programin\u0117s \u012frangos ar papildini\u0173.<\/p>\n

4. Topografinis profilis<\/strong><\/p>\n

Su pagalba topografija<\/a> profil\u012f, galite susidaryti i\u0161sam\u0173 topografinio profilio vaizd\u0105 \u2013 nuo auk\u0161\u010dio, nuolyd\u017eio, aspekto ir kalno pav\u0117sio iki reljefo pad\u0117ties, nelygumo ir \u0161iurk\u0161tumo.<\/p>\n

Istorija tuo nesibaigia \u2013 profil\u012f galite kurti remdamiesi nuotolinio steb\u0117jimo ar technikos duomen\u0173 rinkiniais. Tai taip pat leid\u017eia panaudoti visas pateiktas i\u0161vestines funkcijas pikseli\u0173 pagrindu i\u0161oriniuose dirbtinio intelekto modeliuose. Pavyzd\u017eiai apima nuolyd\u017eio ir vietin\u0117s reljefo pad\u0117ties zonas.<\/p>\n

5. Automatizuota \u017evalgyba<\/strong><\/p>\n

Kai naudojate \u201eGeoPard\u201c automatin\u012f \u017evalgybos \u012frank\u012f, automati\u0161kai aptinkamos vietos, kurias reikia \u017evalgyti ir suprasti ribojan\u010dius veiksnius. Taip pat nustatomos vertingos sritys i\u0161samiai analizei.<\/p>\n

Kadangi rezultatus galite steb\u0117ti mobiliojoje program\u0117l\u0117je, taip pat tur\u0117tum\u0117te suprasti jos si\u016blomas funkcijas ir platformas, kurias ji paprastai naudoja. Program\u0117l\u0117 taip pat gali dirbti neprisijungus prie interneto<\/a> komentarams ir nuotraukoms, naudokite tiek \u201eIOS\u201c, tiek \u201eAndroid\u201c i\u0161maniuosiuose telefonuose ir plan\u0161etiniuose kompiuteriuose.<\/p>\n

6. Dirvo\u017eemio m\u0117gini\u0173 \u0117mimas<\/strong><\/p>\n

Dirvo\u017eemio m\u0117gini\u0173 \u0117mimas visame lauke yra b\u016btinas periodi\u0161kai. Kiekviename lauke yra skirtingas dirvo\u017eemis, pasi\u017eymintis savitomis augal\u0173 savyb\u0117mis ir dirvo\u017eemio savyb\u0117mis.<\/p>\n

Tod\u0117l labai svarbu lauko kra\u0161tovaizd\u012f suskirstyti \u012f skirtingas tvarkymo zonas. Visas dirvo\u017eemio m\u0117gini\u0173 \u0117mimo etapas apima nuo dirvo\u017eemio m\u0117gini\u0173 \u0117mimo planavimo (zoninio ir tinklelio) iki VRA \u017eem\u0117lapi\u0173, pagr\u012fst\u0173... dirvo\u017eemio duomenys.<\/a><\/p>\n

D\u0117l \u012fra\u0161o, Kintamo kiekio pur\u0161kimas (VRA)<\/a> \u017eem\u0117lapiai kuriami pridedant tarifus prie valdymo zon\u0173 \u017eem\u0117lapiai<\/a>. Be to, jie suderinami su dauguma \u017eem\u0117s \u016bkio ma\u0161in\u0173 ir tiksli\u0173j\u0173 \u012frengini\u0173.<\/p>\n

7. Zon\u0173 reguliavimas<\/strong><\/p>\n

Naudodami \u201eGeoPard\u201c sprendim\u0105, galite skaidyti ir sujungti zonas, kad atliktum\u0117te esminius veiksmus. Pavyzd\u017eiui, galite skaidyti poligonus, sujungti poligonus ir netgi priskirti poligon\u0105 ar vis\u0105 zon\u0105 kitai klasei.<\/p>\n

8. Dirvo\u017eemio ry\u0161kumo indeksas<\/strong><\/p>\n

Svarbu suprasti dirvo\u017eemio s\u0105lyg\u0173 poky\u010dius laikui b\u0117gant. Tai galima pasiekti matuojant dirvo\u017eemio ry\u0161kum\u0105, nes jis veikia kaip sm\u0117lio, organini\u0173 med\u017eiag\u0173 ir druskingumo sri\u010di\u0173 rodiklis. Be to, tai padeda matuoti ir steb\u0117ti dirvo\u017eemio erozijos modelius ir dirvo\u017eemio degradacij\u0105.<\/p>\n

9. Stabilumo \u017eem\u0117lapiai \/ Poky\u010di\u0173 aptikimas<\/strong><\/p>\n

Ar norite suprasti augmenijos stabilum\u0105 ir kitim\u0105 skirtingais met\u0173 laikais? Naudodami \u201eGeoPard\u201c platform\u0105, galite aptikti stabiliausias ir kintan\u010dias lauko vietas bet kuriuo laikotarpiu. Tai gali kisti nuo pastar\u0173j\u0173 keli\u0173 savai\u010di\u0173 iki keli\u0173 m\u0117nesi\u0173 ar net poros met\u0173.<\/p>\n

10. Duomen\u0173 sluoksni\u0173 sankirta<\/strong><\/p>\n

\u201eGeoPard\u201c padeda nustatyti vertingiausias sritis i\u0161samesnei analizei, pavyzd\u017eiui, dirvo\u017eemio tyrimams, \u017evalgybai ir augal\u0173 m\u0117gini\u0173 \u0117mimui.<\/p>\n

Taip pat tai gali pad\u0117ti tobulinti tiksliosios \u017eemdirbyst\u0117s praktikas. Ta\u010diau reikia nepamir\u0161ti, kad persidengiant skirtingoms valdymo zonoms, pagr\u012fstoms atskirais sluoksniais, galima apibr\u0117\u017eti priklausomybes tarp duomen\u0173 sluoksni\u0173.<\/p>\n

11. Duomen\u0173 analiz\u0117 pagal taikom\u0105j\u0105 ir pas\u0117t\u0105j\u0105 kult\u016br\u0105<\/strong><\/p>\n

\u201eGeoPard\u201c pagalba galite steb\u0117ti VRA (kintamo grei\u010dio taikymo) vykdymo rezultatus. Tai gali apimti palyginim\u0105 suplanuoti ir pritaikyti \u017eem\u0117lapiai<\/a> pavyzd\u017eiui, VRA \u017eem\u0117lapiai. Be to, tai taip pat naudinga apskai\u010diuojant kintamo tarifo technologijos investicij\u0173 gr\u0105\u017e\u0105.<\/p>\n

12. Debes\u0173 ir \u0161e\u0161\u0117li\u0173 aptikimas<\/strong><\/p>\n

Pasitelkdamas patentuotus algoritmus, \u201eGeoPard\u201c si\u016blo didel\u012f debes\u0173 ir \u0161e\u0161\u0117li\u0173 aptikimo tikslum\u0105. Nustebsite su\u017einoj\u0119, kad, palyginti su konkurent\u0173 si\u016blomu ma\u017edaug 80% tikslumu, \u201eGeoPard\u201c algoritmo tikslumas yra apie 95%.<\/p>\n

Be didesnio tikslumo nei konkurentai, mes u\u017etikriname auk\u0161tesn\u0119 kokyb\u0119 automatizuodami daugiau proces\u0173 nei m\u016bs\u0173 konkurentai. M\u016bs\u0173 sprendimas aptinka dalinai drumstus ir drumstus vaizdus naudodamas pa\u017eang\u0173 vaizd\u0173 filtr\u0105, kad patikrint\u0173 sprendimus.<\/p>\n

13. Zon\u0173 statistika<\/strong><\/p>\n

Naudodami \u201eGeoPard\u201c, galite apskai\u010diuoti statistik\u0105 zonos lygmeniu, remdamiesi duomen\u0173 sluoksniais, naudojamais kuriant zonas. Tai apima derli\u0173, palydovus, ant\u017eeminius jutiklius, topografinius, daugiasluoksnius ir kt. duomenis. Apimamos metrikos: minimumas, maksimumas, vidurkis, mediana, suma ir standartinis nuokrypis.<\/p>\n

14. Integruoti duomen\u0173 \u0161altiniai<\/strong><\/p>\n

\u201eGeoPard\u201c supranta formatus, kuriais tiek \u017emon\u0117s, tiek dirbtinio intelekto modeliai gali interpretuoti duomenis. Platforma ne tik teikia duomenis aktualia forma, bet ir kalibruotus, pataisytus bei standartizuotus duomenis. \u0160iuo klausimu \u201eGeoPard\u201c kuria automatizuot\u0105 radarini\u0173 duomen\u0173 apdorojimo sistem\u0105.<\/p>\n

Be to, ji taip pat dirba kurdama sprendimus, susijusius su anglies dioksido ir tvarumo temomis. \u0160ie sprendimai pad\u0117s \u012fvertinti augmenij\u0105 debesuotomis dienomis, aptikti \u017eem\u0117s \u016bkio operacijas, tokias kaip \u017eem\u0117s dirbimas ir s\u0117ja, analizuoti dengiamuosius augalus ir \u012fvertinti dirvo\u017eemio dr\u0117gm\u0119 bei fizin\u0119 b\u016bkl\u0119.<\/p>","protected":false},"excerpt":{"rendered":"

Ar \u017einote, kaip tikslioji \u017eemdirbyst\u0117 gali pad\u0117ti jums kaip \u016bkininkui ar su \u017eem\u0117s \u016bkio verslu susijusiam asmeniui? Ji gali padidinti ekonomin\u012f efektyvum\u0105 (15%) per\u2026<\/p>","protected":false},"author":210157960,"featured_media":4722,"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","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1657,1365],"tags":[1598],"class_list":["post-4720","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-precision-farming","category-news","tag-precision-agriculture"],"acf":[],"yoast_head":"\nUnbiased 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