Rehber bağlantılı sınav · Orta Seviye

Arıcılık ve Arıcılık Testinde Yapay Zeka

Akıllı kovan sensörlerini, akustik ve görsel izlemeyi, koloni olaylarını ve arıcıların kovan sağlığını takip etmesine yardımcı olan sinyalleri inceleyin.

İlgili kılavuz yollarıArıcılık ve Arıcılıkta Yapay Zeka
Soru 1 arasında 8

Yapay zeka tabanlı kovan izlemenin ana hedefi hangi parazittir?

Her soruyu önizleyin8 sorular

Testi çözdüğünüzde cevaplar ve açıklamalar görünür.

  1. Yapay zeka tabanlı kovan izlemenin ana hedefi hangi parazittir?
    • Varroa akarı
    • yaprak biti
    • Keçiboynuzu
    • Çeçe sineği
  2. What hive condition did a cited acoustic-monitoring study examine using recorded hive sounds?
    • The exact honey yield of each flower visited
    • Queenless versus queenright hive status
    • The species of every plant within a field
    • The hive paint color under different weather
  3. Which object-detection architecture did the IntelliBeeHive study use for entrance-camera monitoring?
    • YOLOv3
    • Daha hızlı R-CNN
    • YOLOv7-tiny
    • U-Net
  4. Which components of the Deep Edge IoT study’s queenless-hive pipeline were implemented on Arduino Zero?
    • The entire training dataset and all model training
    • Cloud storage and every audio recording
    • A camera-based Varroa detector and pollen counter
    • Feature extraction and inference with a pre-trained model
  5. What can a sudden hive-weight drop indicate?
    • A swarm departure or loss of stores, among other possible causes that require investigation
    • A confirmed queen loss with no other possible explanation
    • A guaranteed Varroa infestation
    • A precise count of bees that left the colony
  6. According to FAO, about what share of global food-crop types depend at least partly on pollinators?
    • About 35 percent of crop types depend exclusively on honeybees
    • About 75 percent; the figure covers animal pollinators, not honeybees alone
    • About 100 percent of all food production is provided by bees
    • About 10 percent of crop types depend on every pollinator group
  7. Which non-acoustic measurements can a smart-hive sensor system track?
    • Only the color of the hive paint
    • Satellite altitude and wind direction
    • Temperature, humidity, and colony weight
    • The beekeeper's phone battery and screen brightness
  8. What foraging-related activity can computer vision monitor at a hive entrance?
    • The chemical composition of nectar inside every flower
    • The age of bees before they leave the hive
    • The amount of honey in every cell of the comb
    • Pollen-gathering activity by bees