不能添加酱料
不好
We Happy Restaurant
Veröffentlicht von:
ChillyRoom
Beschreibung
Bug Identifier & ID Insect App: Advanced AI-Powered Entomological Recognition Tool
The Bug Identifier & ID Insect App represents a significant advancement in field entomology, leveraging state-of-the-art computer vision algorithms to provide rapid, precise taxonomic classification of arthropods. This tool is designed for both professional biologists and amateur naturalists seeking reliable species identification without requiring specialized expertise.
Scientific Methodology:
Utilizing a convolutional neural network trained on an extensive dataset of over 500,000 annotated specimens, our AI model achieves 94.7% genus-level accuracy under controlled testing conditions.
The identification process follows a systematic approach:
1. Image Capture & Preprocessing – Users submit dorsal, lateral, or frontal images, which are normalized for lighting, scale, and orientation.
2. Morphological Feature Extraction – The algorithm analyzes key diagnostic traits (venation patterns, sclerite arrangement, setal distribution).
3. Taxonomic Matching – Specimens are cross-referenced against the Global Biodiversity Information Facility (GBIF) database.
Comprehensive Biological Data Output
Each identification provides:
- Nomenclature - Validated binomial designation (IUCN Red List compliant)
- Morphometrics: Body length, wing span (when applicable), chromatic patterns
- Ethological Data: Nocturnal/diurnal activity, social organization (solitary/eusocial)
- Trophic Relationships: Herbivore/predator/parasitoid classification
- Ecological Parameters: Preferred microhabitats, temperature tolerances, biogeographic distribution
User Workflow:
1. Capture specimen image.
2. Submit for automated analysis.
3. Receive taxonomic report with confidence percentage.
Ideal for:
- Field biologists conducting rapid biodiversity assessments
- University entomology programs (supplements dichotomous key training)
- Ecological consultants requiring on-site identifications
- Science educators demonstrating arthropod diversity
Subscription Terms:
Your Apple ID will be charged when you confirm your (App Name) subscription.
It automatically renews unless canceled at least 24 hours before the current period ends. Payment for renewal occurs within 24 hours of the next cycle.
Manage or cancel subscriptions in your App Store settings. Any unused free trial time will be forfeited upon purchase (if applicable).
Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
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The Bug Identifier & ID Insect App represents a significant advancement in field entomology, leveraging state-of-the-art computer vision algorithms to provide rapid, precise taxonomic classification of arthropods. This tool is designed for both professional biologists and amateur naturalists seeking reliable species identification without requiring specialized expertise.
Scientific Methodology:
Utilizing a convolutional neural network trained on an extensive dataset of over 500,000 annotated specimens, our AI model achieves 94.7% genus-level accuracy under controlled testing conditions.
The identification process follows a systematic approach:
1. Image Capture & Preprocessing – Users submit dorsal, lateral, or frontal images, which are normalized for lighting, scale, and orientation.
2. Morphological Feature Extraction – The algorithm analyzes key diagnostic traits (venation patterns, sclerite arrangement, setal distribution).
3. Taxonomic Matching – Specimens are cross-referenced against the Global Biodiversity Information Facility (GBIF) database.
Comprehensive Biological Data Output
Each identification provides:
- Nomenclature - Validated binomial designation (IUCN Red List compliant)
- Morphometrics: Body length, wing span (when applicable), chromatic patterns
- Ethological Data: Nocturnal/diurnal activity, social organization (solitary/eusocial)
- Trophic Relationships: Herbivore/predator/parasitoid classification
- Ecological Parameters: Preferred microhabitats, temperature tolerances, biogeographic distribution
User Workflow:
1. Capture specimen image.
2. Submit for automated analysis.
3. Receive taxonomic report with confidence percentage.
Ideal for:
- Field biologists conducting rapid biodiversity assessments
- University entomology programs (supplements dichotomous key training)
- Ecological consultants requiring on-site identifications
- Science educators demonstrating arthropod diversity
Subscription Terms:
Your Apple ID will be charged when you confirm your (App Name) subscription.
It automatically renews unless canceled at least 24 hours before the current period ends. Payment for renewal occurs within 24 hours of the next cycle.
Manage or cancel subscriptions in your App Store settings. Any unused free trial time will be forfeited upon purchase (if applicable).
Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
In-App-Käufe
- Green Essence - Pack 1
- USD 0.99
- Welcome Pack
- USD 0.99
- Brainwash Slot 1
- USD 1.99
- Brainwash Slot 2
- USD 1.99
- Secretary
- USD 7.99
- Scientist
- USD 3.99
- General Manager
- USD 3.99
- Biochef
- USD 1.99
- Agent
- USD 1.99
- Accountant
- USD 0.99
Screenshots
We Happy Restaurant Häufige Fragen
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Ist We Happy Restaurant kostenlos?
Ja, We Happy Restaurant ist kostenlos herunterzuladen, enthält jedoch In-App-Käufe oder Abonnements.
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Ist We Happy Restaurant seriös?
⚠️ Die We Happy Restaurant-App hat schlechte Bewertungen und negatives Feedback. Die Nutzer scheinen mit der Leistung oder den Funktionen unzufrieden zu sein.
Danke für die Stimme -
Wie viel kostet We Happy Restaurant?
We Happy Restaurant bietet mehrere In-App-Käufe/Abonnements, der durchschnittliche In-App-Preis beträgt USD 2.69.
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Wie hoch ist der Umsatz von We Happy Restaurant?
Um geschätzte Einnahmen der We Happy Restaurant-App und weitere AppStore-Einblicke zu erhalten, können Sie sich bei der AppTail Mobile Analytics Platform anmelden.
Benutzerbewertung
4.8 von 5
10 Bewertungen in Dominikanische Republik
5 star
9
4 star
0
3 star
1
2 star
0
1 star
0
Bewertungsverlauf
We Happy Restaurant Bewertungen
实名验证不成功
一直显示身份证不合法，我无话可说👍🏻
太好玩了，满分游戏
太喜欢了，画风也好看，细节用心，满分
招募客户没这功能啊
是不是苹果版不一样啊，任务说要招募指定客人，但查了很多视频，苹果显示的和安卓不一样，谁来告诉我怎么办
？？？
为什么一直不合法
？？？
什么意思，实名验证登不上，说我身份证不合法？？
实名认证不合法
？？？我是成年人好吗 合法公民
啥玩意，广告关不掉
垃圾游戏
无语了
为什么实名认证失败？我是成年人啊 而且用了别人的也不行 说身份证不合法 无语了什么情况
进不去
进游戏直接就让实名认证，输完之后就说身份证号不合法，还一直转
Store-Rankings
Ranking-Verlauf
App-Ranking-Verlauf noch nicht verfügbar
Kategorien-Rankings
App ist noch nicht gerankt
We Happy Restaurant Konkurrenten
We Happy Restaurant Installationen
Letzte 30 Tage
We Happy Restaurant Umsatz
Letzte 30 TageWe Happy Restaurant Einnahmen und Downloads
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Melden Sie sich jetzt an, um Zugriff auf Downloads, Einnahmen und mehr zu erhalten.
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App-Informationen
- Kategorie
- Games
- Herausgeber
-
ChillyRoom
- Sprachen
- English, French, German, Japanese, Korean, Russian, Chinese
- Letzte Veröffentlichung
- 2.8.17 (vor 1 Jahr )
- Veröffentlicht am
- Jan 23, 2019 (vor 6 Jahren )
- Auch verfügbar in
- China, Vereinigte Staaten, Japan, Taiwan, Vietnam, Russland, Sonderverwaltungsregion Hongkong, Kanada, Vereinigtes Königreich, Brasilien, Australien, Thailand, Südkorea, Mexiko, Philippinen, Frankreich, Deutschland, Malaysia, Ukraine, Singapur, Chile, Indonesien, Spanien, Italien, Kolumbien, Neuseeland, Türkei, Saudi-Arabien, Kasachstan, Südafrika, Schweiz, Argentinien, Niederlande, Tschechien, Peru, Schweden, Polen, Vereinigte Arabische Emirate, Belgien, Ecuador, Dänemark, Belarus, Portugal, Israel, Dominikanische Republik, Rumänien, Irland, Indien, Kroatien, Norwegen, Ungarn, Brunei Darussalam, Aserbaidschan, Österreich, Slowakei, Ägypten, Finnland, Island, Lettland, Estland, Armenien, Bahrain, Nigeria, Litauen, Bulgarien, Kuwait, Libanon, Malta, Griechenland, Usbekistan, Nordmazedonien, Sri Lanka, Nepal, Algerien, Madagaskar, Pakistan, Luxemburg, Zypern, Tunesien, Slowenien
- Zuletzt aktualisiert
- vor 3 Wochen
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