Maswali yanayounganishwa na mwongozo · Kati Kiwango

AI katika Maswali ya Uhifadhi wa Wanyamapori

Jifunze jinsi AI ya uhifadhi huchanganua mitego ya kamera, vitambuzi vya akustika, alama za mtu binafsi, historia za doria na picha zilizo na lebo ili kusaidia ufuatiliaji.

Njia za mwongozo zinazohusianaAI Katika Uhifadhi Wanyamapori
Swali 1 ya 8

What does Wildlife Insights’ documented AI assistance do with camera-trap photos?

Hakiki kila swali8 maswali

Majibu na maelezo huonekana unapojibu maswali.

  1. What does Wildlife Insights’ documented AI assistance do with camera-trap photos?
    • Predicts species labels and can identify blank images for review
    • Guarantees identification of every animal in any ecosystem
    • Tracks individuals from satellite radar alone
    • Measures water quality from pipe vibrations
  2. What sound event did the cited tropical-forest study train a CNN to detect?
    • Every kind of chainsaw and vehicle noise worldwide
    • Gunshots in acoustic recordings from a Belize forest study
    • Bird species in all habitats without training data
    • Water leaks in urban plastic pipes
  3. In the cited animal re-identification paper, what visual cues can help distinguish patterned individuals?
    • GPS serial numbers attached to every animal
    • Barcodes implanted under the skin
    • Distinctive markings such as stripes, spots or other body patterns
    • The color of the habitat alone
  4. What type of patrol strategy does PAWS compute under uncertainty about poacher behavior?
    • A single fixed route used every day
    • A route based only on animal migration distance
    • A path that guarantees no poaching incidents
    • A mixed strategy that makes patrol routes less predictable
  5. Why did the cited camera-trap study use transfer learning for species identification?
    • It can reuse features learned from a larger related dataset when target labels are limited
    • It removes the need for training or validation images
    • It guarantees perfect accuracy for rare species
    • It replaces camera-trap images with GPS coordinates
  6. What did the cited thermal-drone study evaluate for nocturnal wildlife surveys?
    • Universal nighttime detection of every species and intruder
    • Thermal detection of white-tailed deer under the study’s warm-weather conditions
    • Species identification from satellite soil-moisture maps
    • Autonomous tracking of animal migration across continents
  7. Which historical data does the PAWS paper use to inform patrol planning?
    • Only tourist social-media posts
    • Only satellite pictures of clouds
    • Past patrol and poaching records from protected areas
    • Only DNA samples from captive animals
  8. How many species did the cited Snapshot Serengeti study train deep CNNs to identify, count and describe?
    • 4 species in 32 images
    • 480 species in a million satellite scenes
    • One species from 3.2 million audio files
    • 48 species in the 3.2-million-image dataset