害虫和入侵物种检测中的人工智能测验

当您参加测验时，就会出现答案和解释。

1. InsectNet 研究使用了哪种昆虫数据来开发其识别模型？
   • Images collected through citizen-science projects
   • Only synthetic audio waveforms
   • Only satellite radar
   • A list of legal pesticides
2. InsectNet 论文报告了对大约多少种昆虫物种的识别？
   • Fewer than 10
   • More than 2,500
   • 正好 100
   • 超过1000万
3. InsectNet 论文指出了现实世界昆虫图像分类的什么挑战？
   • A lack of audio transcripts
   • The need to estimate ocean tides
   • Similar-looking species and varied imaging conditions
   • Every insect having identical markings
4. 阳性 eDNA 检测直接确立了什么？
   • That the species has reproduced locally
   • That every individual of the species is present in the survey area
   • That a live organism is certainly at the exact sampling location now
   • That target genetic material was detected in the collected sample
5. InsectNet 论文报告了其模型在不确定时表现出什么行为？
   • It can abstain from making a prediction
   • It labels every image as a new species
   • It deletes the image dataset
   • It automatically reports a pest outbreak
6. What is the stated goal of the USDA ARS project listed in the guide?
   • Deploy an acoustic model for city traffic
   • Develop drone-image models to identify rangeland plants and produce vegetation maps
   • Certify commercial insect traps
   • Replace all field observations with satellite data
7. Which environmental samples can be tested for eDNA?
   • Only tissue taken directly from a living animal
   • Only air samples collected indoors
   • Samples such as water or soil that may contain genetic material shed by organisms
   • Only DNA extracted from the animal itself
8. Why can eDNA results be combined with traditional species observations?
   • eDNA replaces every field survey
   • Traditional observations make molecular controls unnecessary
   • The methods measure unrelated internet activity
   • The methods provide complementary evidence for distribution and follow-up