{"id":49868,"date":"2022-12-16T12:13:39","date_gmt":"2022-12-16T12:13:39","guid":{"rendered":"https:\/\/dev.metos.global\/?p=49868"},"modified":"2023-06-21T08:02:37","modified_gmt":"2023-06-21T08:02:37","slug":"farm-weather-talk-002","status":"publish","type":"post","link":"https:\/\/metos.global\/tr\/farm-weather-talk-002\/","title":{"rendered":"\u00c7iftlik Hava Durumu Konu\u015fmas\u0131 #002 - Hava Tahmini"},"content":{"rendered":"
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Hava tahminlerini tart\u0131\u015fmam\u0131z gerekiyor, \u00e7\u00fcnk\u00fc hava durumunun saha \u00fczerindeki gelecekteki etkileri de en az bug\u00fcne kadarki ko\u015fullar kadar \u00f6nemli, hatta daha da \u00f6nemli.<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Farm Weather Talk #002 - Hava Tahminleri<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u0130lk b\u00f6l\u00fcmde\u00a0\u00c7iftlik Hava Durumu Konu\u015fmas\u0131<\/strong><\/a><\/span>tart\u0131\u015ft\u0131k\u00a0Sahaya \u00f6zel bir meteoroloji istasyonu veya IoT cihaz\u0131n\u0131n faydas\u0131<\/strong> ve bug\u00fcne kadarki hava durumuna ba\u011fl\u0131 olarak \u00e7ift\u00e7ilerin kar\u015f\u0131 kar\u015f\u0131ya kald\u0131\u011f\u0131 \"kontrol edilemeyen Riskleri\" nas\u0131l azaltabileceklerini a\u00e7\u0131kl\u0131yor, ancak bu hava durumu \u00e7\u00f6z\u00fcm\u00fcn\u00fcn sadece yar\u0131s\u0131. Di\u011fer k\u0131sm\u0131 ise hava tahminleridir. Evet, hava tahminlerini tart\u0131\u015fmam\u0131z gerekiyor, \u00e7\u00fcnk\u00fc hava durumunun tarla \u00fczerindeki gelecekteki etkileri de en az bug\u00fcne kadarki ko\u015fullar kadar, hatta daha da \u00f6nemli.<\/p>

\"Hava<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Hava durumu tahminlerinin genellikle yanl\u0131\u015f oldu\u011fu d\u00fc\u015f\u00fcn\u00fcl\u00fcr; bu tahminler bir\u00e7ok \u015fakan\u0131n kayna\u011f\u0131 olmu\u015ftur.<\/h3>

Sonra,\u00a0do\u011fru, sahaya \u00f6zg\u00fc, saha d\u00fczeyinde tahminlere sahip olmak nas\u0131l m\u00fcmk\u00fcn olabilir?<\/strong>? Her \u015fey \u015fununla ba\u015flar saha d\u00fczeyinde meteoroloji istasyonu verileri<\/a><\/span> ve h\u0131zl\u0131 tahmin modeli g\u00fcncellemeleri. Bunun nas\u0131l m\u00fcmk\u00fcn oldu\u011funu inceleyelim.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Foto\u011fraf kredisi: Mark Anderson<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Kaynak: Flickr<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Sahaya \u00f6zel saha d\u00fczeyinde hava durumu tahminleri<\/h3>

G\u00fcn\u00fcm\u00fczde, di\u011fer bir\u00e7ok sekt\u00f6rde oldu\u011fu gibi, b\u00fcy\u00fck veri k\u00fcmelerini hesaplama yetene\u011fi daha kolay ve daha h\u0131zl\u0131 hale geliyor:\u00a0bulut bili\u015fim ve ucuz CPU maliyetleri<\/strong>. Bu, meteorologlar\u0131n \u00f6n\u00fcm\u00fczdeki birka\u00e7 g\u00fcn i\u00e7in sahaya \u00f6zg\u00fc istasyondan al\u0131nan hava durumu g\u00f6zlemlerine dayanan saatlik sahaya \u00f6zg\u00fc tahminler olu\u015fturmas\u0131na olanak tan\u0131r.<\/p>

Elde edilen veriler\u00a0saha istasyonu<\/a><\/span>\u00a0tahmini d\u00fcrtmeye ve ayarlamaya yard\u0131mc\u0131 olur:\u00a0sahada kaydedilen ger\u00e7ek duruma g\u00f6re ayarlay\u0131n<\/strong>. Buna ek olarak, tahmin, saf bir topluluk yakla\u015f\u0131m\u0131 yerine, her konum, durum, hava durumu ve mevsim i\u00e7in en uygun tahmini se\u00e7mek i\u00e7in AI (Yapay Zeka) yard\u0131m\u0131yla yerel ko\u015fullar\u0131 \u00f6\u011frenerek saha i\u00e7in ak\u0131ll\u0131 hale gelir. Bu, sahaya \u00f6zg\u00fc daha do\u011fru bir tahmin yapmak i\u00e7in t\u00fcm modellerin (veya varyantlar\u0131n\u0131n) \"ortalamas\u0131n\u0131\" de\u011fil, \"en iyi\" tahmini se\u00e7ti\u011fi anlam\u0131na gelir.<\/p>

\"Sahaya<\/p>

\u00a0<\/h3>

meteoblue\u00ae<\/sup>-Sahaya \u00f6zg\u00fc hava tahminine Pessl yakla\u015f\u0131m\u0131<\/h3>

Bu tahmin yakla\u015f\u0131m\u0131n\u0131n neden halka a\u00e7\u0131k olanlardan daha iyi oldu\u011funu a\u00e7\u0131kl\u0131\u011fa kavu\u015fturmak i\u00e7in t\u00fcm bu bilim\/teknolojiyi inceleyelim. G\u00fcn\u00fcm\u00fczde \u00e7o\u011fu meteoroloji \u015firketi veya h\u00fck\u00fcmet, bir \u0131zgara yakla\u015f\u0131m\u0131ndan t\u00fcretilen bir \u015fehir veya kasaba konumuna dayal\u0131 tahminler sunmaktad\u0131r. Baz\u0131lar\u0131 tahmini olu\u015fturmak i\u00e7in 15, 10, 5 veya 1 km'lik bir \u0131zgara kullan\u0131r, buna\u00a0konuma g\u00f6re \u00f6l\u00e7ek k\u00fc\u00e7\u00fcltme<\/strong>.<\/p>

E\u015fsiz olan nedir?\u00a0meteoblue\u00ae<\/sup>-Pessl yakla\u015f\u0131m\u0131<\/strong>\u00a0onlar\u00a0saha seviyesindeki istasyon verilerini tahminle birle\u015ftirmek<\/strong>. Ba\u015fka bir deyi\u015fle istasyon, ger\u00e7ek yer g\u00f6zlemlerine dayal\u0131 olarak tahmini y\u00f6nlendirmek ve ayarlamak i\u00e7in veri sa\u011flar.<\/p>

Ayr\u0131nt\u0131l\u0131 olarak\u00a0meteoblue Learning Multimodel (mLM)<\/strong>\u00a0ger\u00e7ek hava istasyonu \u00f6l\u00e7\u00fcmlerini kullanarak \u00e7e\u015fitli say\u0131sal hava tahmin modellerinden elde edilen \u00e7\u0131kt\u0131lar\u0131 sonradan i\u015fleyen yeni bir tekniktir ve yapay zeka (AI), bir topluluk yakla\u015f\u0131m\u0131 yerine her konum, durum hava durumu ve mevsim i\u00e7in 17 adede kadar model aras\u0131ndan en uygun olan\u0131 se\u00e7er. Bu, sahaya \u00f6zg\u00fc daha do\u011fru bir tahmin yapmak i\u00e7in t\u00fcm modellerin (veya varyantlar\u0131n\u0131n) \"ortalamas\u0131n\u0131\" de\u011fil, \"en iyi\" tahmini se\u00e7ti\u011fi anlam\u0131na gelir.<\/p>

Esasen, mLM yapay zekas\u0131 meteorolojiyi\/iklimi \u00f6\u011frenir\u00a0sahaya \u00f6zel istasyon<\/a><\/span>\u00a0birka\u00e7 hafta i\u00e7inde. mLM ayr\u0131ca g\u00fcnde birka\u00e7 kez g\u00fcncellenerek sahaya \u00f6zg\u00fc tahminlerde daha fazla d\u00fczeltme yap\u0131lmas\u0131n\u0131 sa\u011flar.<\/p>

Tamam, sahaya \u00f6zel tahminler sa\u011flamak i\u00e7in kullan\u0131lan geli\u015fmi\u015f bilim\/teknolojiyi tart\u0131\u015ft\u0131k, ancak bu, kamuya a\u00e7\u0131k olanlara k\u0131yasla tahminlerin do\u011frulu\u011funu art\u0131r\u0131yor mu? mLM'den (meteoblue Learning Multimodel) hava tahmini olu\u015fturmak i\u00e7in kullan\u0131lan bilim\/teknolojiye dayanarak, tahmin hassasiyeti ilk 24 saat i\u00e7inde 1,3\u00b0C'den daha az saatlik mutlak hataya ula\u015f\u0131r. Bu, saatlik s\u0131cakl\u0131k tahmininin 85%'den fazlas\u0131n\u0131n 2\u00b0C'den daha az hatal\u0131 olaca\u011f\u0131 anlam\u0131na gelir. \u0130lk 12 saat i\u00e7in mutlak hata 0,9\u00b0C'den azd\u0131r.<\/p>

Ya\u011f\u0131\u015f tahmini i\u00e7in, sadece 40% yanl\u0131\u015f alarm oran\u0131 ile >1 mm'lik olaylar\u0131n 79%'si tespit edildi ve di\u011fer t\u00fcm sa\u011flay\u0131c\u0131lardan daha y\u00fcksek olan 0.49 Heidke Beceri Puan\u0131 elde edildi.<\/p>

Ayr\u0131ca, mLM tahmini di\u011fer yay\u0131nlanm\u0131\u015f tahmin modellerine kar\u015f\u0131 de\u011ferlendirilmi\u015f ve ya\u011f\u0131\u015f, 11 saatlik s\u0131cakl\u0131k ve \u00f6zellikle ilk 12 saatteki s\u0131cakl\u0131k i\u00e7in 1 numara, ilk 24 saatteki s\u0131cakl\u0131k i\u00e7in 1 numara, \u00e7i\u011flenme noktas\u0131 ve r\u00fczgar h\u0131z\u0131 i\u00e7in 1 numara ve 24 saat i\u00e7inde 1 mm'den fazla ya\u011f\u0131\u015f olaylar\u0131 i\u00e7in uzak lider 1 numara olmak \u00fczere d\u00fcnya \u00e7ap\u0131nda 300'den fazla konumda do\u011fruluk a\u00e7\u0131s\u0131ndan 1 numaral\u0131 tahmin olarak derecelendirilmi\u015ftir.<\/p>

mLM yakla\u015f\u0131m\u0131 ayn\u0131 zamanda kamuya a\u00e7\u0131k sonu\u00e7larla k\u00fcresel olarak onaylanm\u0131\u015f tek yakla\u015f\u0131md\u0131r, bu nedenle m\u00fc\u015fteriler ne bekleyebileceklerini bilirler.<\/strong><\/p>

Beklendi\u011fi gibi, bu y\u00f6ntemler uyguland\u0131\u011f\u0131nda \u00f6nemli bir hassasiyet vard\u0131r, ancak herhangi bir model gibi bu da bir tahmindir ve tahminler k\u0131sa bir zaman aral\u0131\u011f\u0131nda ve alanda de\u011fi\u015fecektir. Bu nedenle, saatlik g\u00fcncellemelerin yap\u0131lmas\u0131 \u00f6nemlidir. \u00d6nemli olan, bu yakla\u015f\u0131m\u0131n uygulanmas\u0131yla tahmin modelinin hatas\u0131n\u0131n azalt\u0131lmas\u0131d\u0131r.<\/p>

Di\u011fer \u00e7al\u0131\u015fmalarda, sahaya \u00f6zg\u00fc bir tahmin en yak\u0131n \u015fehir\/il\u00e7e tahminiyle kar\u015f\u0131la\u015ft\u0131r\u0131ld\u0131\u011f\u0131nda, saha istasyonunda kaydedilen ger\u00e7ek de\u011ferlere g\u00f6re, iyile\u015fme 3 g\u00fcn boyunca s\u0131cakl\u0131k ve ya\u011f\u0131\u015f i\u00e7in 35 ila 65% aras\u0131nda de\u011fi\u015febilir. Yine bu, sahaya \u00f6zel tahmindeki hatay\u0131 azaltmaktad\u0131r ve bu da geleneksel tahminlere g\u00f6re bir geli\u015fmedir.<\/p>

\"Saatlik<\/p>

\u00a0<\/h3>

T\u00fcm bunlar ne anlama geliyor?<\/h3>

Bu da demek oluyor ki art\u0131k bir sahaya \u00f6zel tahmin<\/a><\/span> \u00d6n\u00fcm\u00fczdeki 7 g\u00fcn i\u00e7in saatlik olarak g\u00fcncellenen ve son derece hassas olan bu harita, en yak\u0131n kasabaya g\u00f6re de\u011fil, saha istasyonunuza g\u00f6re olu\u015fturulur ve d\u00fczeltilir.<\/p>

Peki, bu sahaya \u00f6zel tahminlerle ne yapaca\u011f\u0131z?<\/h3>

Birincisi, bize bir\u00e7ok saha operasyonu i\u00e7in ko\u015fullar hakk\u0131nda fikir verirler, al\u0131nan kararlara i\u00e7g\u00fcd\u00fcsel bir kontrol sa\u011flarlar, \u00f6rne\u011fin r\u00fczgarlar\u00a0P\u00fcsk\u00fcrtme<\/a><\/span>\u00a0\u00f6n\u00fcm\u00fczdeki 24, 48 veya 72 saat i\u00e7inde. Tahminler ayr\u0131ca ekim ve ila\u00e7lama pencereleri, hasat ko\u015fullar\u0131, toprak i\u015fleme kabiliyeti, tarla eri\u015filebilirli\u011fi, bitki besleme gibi i\u015f planlama ara\u00e7lar\u0131na\/\u00e7\u00f6z\u00fcmlerine de eklenir.<\/p>

Bu \u00e7\u00f6z\u00fcmler, her bir operasyon i\u00e7in ko\u015fullara saatlik pencerelerdir. Sahaya \u00f6zg\u00fc tahminler ayr\u0131ca a\u015fa\u011f\u0131daki tabloya da eklenebilir\u00a0hastal\u0131k risk modelleri<\/a><\/span>Bu da sonraki 24, 48 veya 72 saatin gelecekteki ko\u015fullar\u0131na ili\u015fkin bir tahmin sa\u011flar. Elbette, verim tahmini gelecekteki bir tahmine de dayanabilir, ancak bu, b\u00fcy\u00fcme mevsimi boyunca verim tahmini i\u00e7in potansiyel su kayna\u011f\u0131 hakk\u0131nda bir tahmin yapmak i\u00e7in uzun vadeli bir ortalama ve\/veya mevsimsel olarak d\u00fczeltilmi\u015f bir tahmin kullan\u0131r.<\/p>

A\u015fa\u011f\u0131daki g\u00f6rselde, sahaya \u00f6zg\u00fc hava istasyonu verileri, y\u00fcksek do\u011fruluk oran\u0131na sahip\u00a0sahaya \u00f6zel tahmin<\/a><\/span>\u00a0Tarlaya \u00f6zel bitki koruma sprey penceresi \u00fcretmek i\u00e7in.<\/p>

\"Bitki<\/p>

Bir sonraki resimde, sahaya \u00f6zel tahmin ve istasyonun de\u011fer \u00f6nerisi a\u00e7\u0131k\u00e7a g\u00f6sterilmektedir, \u00e7\u00fcnk\u00fc art\u0131k sahaya gitmeden \u00f6nce ko\u015fullar\u0131 bilme yetene\u011fine, \u00f6n\u00fcm\u00fczdeki 7 g\u00fcn boyunca ko\u015fullar hakk\u0131nda geli\u015fmi\u015f bir saatlik pencereye ve r\u00fczgar h\u0131z\u0131, ya\u011f\u0131\u015f, ba\u011f\u0131l nem ve di\u011fer \u00f6nemli meteorolojik de\u011fi\u015fkenler i\u00e7in tahmini saatlik \u00e7\u0131kt\u0131ya sahipsiniz.\u00a0delta T<\/a><\/span>.<\/p>

\"De\u011fer<\/p>

Karar verirken\u00a0HAVA DURUMU \u0130STASYONU veya IoT C\u0130HAZI SATIN ALIN<\/strong><\/a><\/span>\u00a0\u00e7iftli\u011finiz\/tarlalar\u0131n\u0131z i\u00e7in,\u00a0her zaman sahaya \u00f6zg\u00fc saatlik \u00fccreti i\u00e7erir\u00a0hava durumu tahmi\u0307ni\u0307<\/a><\/span><\/strong>. \u0130stasyon ve tahmin, f\u0131st\u0131k ezmesi ve j\u00f6le gibi d\u00fc\u015f\u00fcn\u00fclmelidir, \u00e7iftlik y\u00f6netimi kararlar\u0131yla el ele giderler.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Hava tahminlerini ke\u015ffedin<\/h3>

Neredeyse ger\u00e7ek zamanl\u0131 ve tarihi hava durumu, mahsulleri neyin etkiledi\u011fini anlamak i\u00e7in \u00f6nemlidir. Gelecekteki hava durumu veya tahminler planlama ve gelecekteki faaliyetler i\u00e7in \u00f6nemlidir. Y\u00fcksek hassasiyetli hava durumu tahminleri g\u00fcn\u00fcn\u00fcz\u00fc d\u00fczenlemenize ve y\u00f6netim kararlar\u0131n\u0131z\u0131 azaltman\u0131za ve optimize etmenize yard\u0131mc\u0131 olabilir.<\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tKE\u015eFETMEK I\u00c7IN TIKLAYIN<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\u00c7al\u0131\u015ft\u0131\u011f\u0131n\u0131 g\u00f6rmek ister misiniz? Deneyin bakal\u0131m.<\/h3>

METOS VWS sanal meteoroloji istasyonu<\/a><\/span> g\u00fcnl\u00fck olarak hava durumuna ba\u011fl\u0131 kararlar veren herkes i\u00e7in vazge\u00e7ilmez bir ortakt\u0131r. METOS VWS bir ayl\u0131k deneme s\u00fcr\u00fcm\u00fc, 1 koordinat yerle\u015ftirme, hava tahmini lisans\u0131 (1 ay boyunca) ve i\u015f planlama ara\u00e7lar\u0131 i\u00e7erir.<\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tMETOS MA\u011eAZASINI ZIYARET EDIN<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Zaten bir METOS\u00ae<\/sup>\u00a0Kullan\u0131c\u0131 m\u0131?<\/h3>

Bir y\u0131ll\u0131k Tahmin aboneli\u011fini etkinle\u015ftirin ve mahsulleri neyin etkiledi\u011fini daha iyi anlamak ve gelecekteki faaliyetlerinizi daha iyi planlamak i\u00e7in ger\u00e7e\u011fe yak\u0131n ve ge\u00e7mi\u015f hava durumu verilerini al\u0131n. Zamandan, paradan ve kaynaklardan tasarruf edin.<\/p><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Yazar Hakk\u0131nda:<\/em>
Guy Ash, son 30 y\u0131ld\u0131r tar\u0131msal meteorolog ve yer g\u00f6zlem bilimi uzman\u0131 olarak \u00e7al\u0131\u015fmaktad\u0131r. \u015eu anda Pessl Instruments, Avusturya'n\u0131n Kanada'daki K\u00fcresel E\u011fitim ve Kilit Hesaplar M\u00fcd\u00fcr\u00fcd\u00fcr. Pessl Instrument, tar\u0131m sekt\u00f6r\u00fcne odaklanan donan\u0131m (kaydediciler ve sens\u00f6rler) ve yaz\u0131l\u0131m \u00e7\u00f6z\u00fcmleri \u00fcreten bir IoT \u015firketidir. 85'ten fazla \u00fclkede \u00e7al\u0131\u015f\u0131yoruz ve \u00e7ok \u00e7e\u015fitli tar\u0131m uygulamalar\u0131 i\u00e7in konu\u015fland\u0131r\u0131lm\u0131\u015f 70.000'den fazla cihaz ve 700.000 sens\u00f6r\u00fcm\u00fcz var: hastal\u0131k y\u00f6netimi, sulama, toprak nemi, b\u00f6cek tuzaklar\u0131, mahsul kameralar\u0131, meteoroloji istasyonlar\u0131, toprak verimlili\u011fi vb. G\u00f6revlerinden biri de pirin\u00e7, bu\u011fday, soya fasulyesi, portakal, m\u0131s\u0131r, kanola, yem, \u00fcz\u00fcm, meyve ve sebze gibi \u00e7ok \u00e7e\u015fitli \u00fcr\u00fcnlere y\u00f6nelik kapsaml\u0131 bir IoT \u00e7\u00f6z\u00fcmleri listesi i\u00e7in k\u00fcresel e\u011fitim sa\u011flamakt\u0131r.<\/p>

\"Avatar-Adam\"<\/p>

Guy Ash,<\/center>
METOS\u00ae<\/sup> K\u00fcresel E\u011fitim M\u00fcd\u00fcr\u00fc<\/center>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t<\/i>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\tT\u00dcM BLOG GIRDILERINE GERI D\u00d6N<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

We need to discuss weather forecasts, since the future impacts of weather on the field are as important, if not more important, as the conditions up to date. Farm Weather Talk #002 – Weather Forecasts In the first installment of\u00a0Farm Weather Talk, we discussed\u00a0the benefit of a site-specific field weather station or IoT device and […]<\/p>\n","protected":false},"author":2,"featured_media":49869,"comment_status":"closed","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"0","ocean_second_sidebar":"0","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"0","ocean_custom_header_template":"0","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"0","ocean_menu_typo_font_family":"0","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"0","ocean_post_oembed":"","ocean_post_self_hosted_media":"","ocean_post_video_embed":"","ocean_link_format":"","ocean_link_format_target":"self","ocean_quote_format":"","ocean_quote_format_link":"post","ocean_gallery_link_images":"off","ocean_gallery_id":[],"footnotes":""},"categories":[2,154],"tags":[410,411,384,412,413,414,32,259,415,416,417,418,419,16,393,391,322,275,420,263,402],"class_list":["post-49868","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-pessl-blog","tag-disease-risk-models","tag-downscaling","tag-farm-management","tag-field-operations","tag-field-specific-forecast","tag-heidke-skill-score","tag-iot-solutions","tag-iot-weather-solutions","tag-learning-multimodel","tag-meteoblue","tag-meteorological-variables","tag-mlm-approach","tag-mlm-forecast","tag-pessl-instruments","tag-precipitation","tag-relative-humidity","tag-weather-forecast","tag-weather-solution","tag-work-planning-solutions","tag-work-planning-tools","tag-yield-prediction","entry","has-media"],"yoast_head":"\nFarm Weather Talk #002 - Weather Forecasting - METOS by Pessl Instruments<\/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:\/\/metos.at\/farm-weather-talk-002\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Farm Weather Talk #002 - Weather Forecasting - METOS by Pessl Instruments\" \/>\n<meta property=\"og:description\" content=\"We need to discuss weather forecasts, since the future impacts of weather on the field are as important, if not more important, as the conditions up to date. 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