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AI_Session_1

Total questions: 53

Worksheet time: 27mins

Name
Class
Date
1.

What is Artificial Intelligence (AI)?

a)

A branch of biology that studies living organisms

b)

A branch of computer science that develops systems capable of performing tasks that normally require human intelligence

c)

A type of mechanical engineering

d)

A form of traditional agriculture

2.

Fill in the blank: Artificial Intelligence (AI) uses ________, deep learning, natural language processing, robotics, and expert systems to simulate intelligent behavior.

a)

machine learning

b)

data mining

c)

cloud computing

d)

blockchain

3.

Which of the following is NOT a scope of AI?

a)

A) Automation

b)

B) Data-Driven Insights

c)

C) Personalization

d)

D) Manual labor

4.

Fill in the blank: AI in Food Processing & Quality Control includes ________ computer vision for detecting defects in grains, fruits, and vegetables.

a)

AI-enabled

b)

manual

c)

traditional

d)

basic

5.

Which application of AI in Food Technology involves real-time monitoring of storage and transportation conditions?

a)

Food Processing & Quality Control

b)

Food Safety & Hygiene

c)

Product Development

d)

Supply Chain & Waste Management

6.

Fill in the blank: AI for flavor prediction, ingredient substitution, and recipe optimization is an example of AI in ________.

a)

Product Development

b)

Marketing

c)

Supply Chain Management

d)

Customer Service

7.

Which of the following is an application of AI in Supply Chain & Waste Management?

a)

AI-based demand forecasting to reduce food waste

b)

AI for flavor prediction

c)

AI systems for contamination detection

d)

AI-enabled computer vision for detecting defects

8.

Fill in the blank: AI accelerates identification of drug candidates by predicting ________ interactions.

a)

molecular

b)

financial

c)

social

d)

thermal

9.

Which of the following is a benefit of using AI in clinical trials?

a)

Increases time and cost

b)

Reduces time and cost

c)

Has no effect on time and cost

d)

Only increases accuracy

10.

Which AI-powered algorithms are used for DNA sequencing, mutation detection, and gene editing in Genomics & Proteomics?

a)

AI-powered algorithms for DNA sequencing, mutation detection, and gene editing.

b)

AI-powered algorithms for protein folding and drug design.

c)

AI-powered algorithms for image recognition in radiology.

d)

AI-powered algorithms for speech recognition and natural language processing.

11.

What is an example of a protein structure prediction tool mentioned in Genomics & Proteomics?

a)

AlphaFold

b)

BLAST

c)

ClustalW

d)

GATK

12.

Which AI application is used for personalized medicine in Medical Biotechnology?

a)

Personalized medicine through AI models that analyze patient genetic profiles.

b)

AI-powered robotic surgery for organ transplantation.

c)

Automated image analysis for plant disease detection.

d)

AI-based weather prediction for agricultural planning.

13.

What are two uses of AI in Agricultural Biotechnology?

a)

AI models for crop improvement through genetic engineering; Pest/disease prediction using biosensors and AI forecasting.

b)

AI for livestock breeding only; Manual soil testing.

c)

AI for weather prediction only; Traditional irrigation methods.

d)

AI for food packaging; Manual crop harvesting.

14.

Which processes are optimized by AI in Industrial Biotechnology?

a)

Bioprocess optimization (fermentation, enzyme production).

b)

Text translation and language processing.

c)

Weather forecasting and climate modeling.

d)

Financial trading and stock market analysis.

15.

Who is considered the father of modern computing and AI, as depicted in the conceptual illustration?

a)

Alan Turing

b)

Charles Babbage

c)

John von Neumann

d)

Ada Lovelace

16.

What do the gears and circuits inside the head symbolize in the conceptual illustration of Alan Turing?

a)

The mechanistic and logical operations of a machine, a nod to the Turing Machine.

b)

The artistic creativity and emotional intelligence of Turing.

c)

The biological processes of the human brain.

d)

The historical context of World War II.

17.

What do the binary codes (0s and 1s) typically illustrate in the context of AI and computing systems?

a)

Digital logic, the building block of AI and computing systems.

b)

The graphical user interface of computers.

c)

The physical hardware components of a computer.

d)

The networking protocols used in AI.

18.

Based on the illustration and explanation, what does the left side of the dual-purpose laboratory setup represent?

a)

Food Quality Control Machine

b)

Medical Laboratory

c)

Chemical Plant

d)

Robotics Lab

19.

Which of the following is NOT a function of the food quality control machine as described in the explanation?

a)

Testing food safety and nutritional quality

b)

Detecting contaminants and chemical residues

c)

Performing blood tests

d)

Ensuring food safety standards

20.

Fill in the blank: The key idea of the figure is that AI and automation technologies are applied in both _______ and food industries to improve accuracy, efficiency, and safety.

a)

medical labs

b)

retail stores

c)

automobile factories

d)

textile mills

21.

The right side of the dual-purpose laboratory setup highlights the role of AI in disease detection and biological research.

a)

True

b)

False

22.

What does the DNA double helix + ML workflow figure represent in the context of the 2000s Machine Learning Boom?

a)

Use of ML for protein folding, genetic analysis, and food supply optimization

b)

Use of ML for robotics

c)

Use of ML for weather prediction

d)

Use of ML for chemical engineering

23.

Which side of the illustration represents biological data and genetic information?

a)

Left Side

b)

Right Side

c)

Both Sides

d)

None of the above

24.

Fill in the blank: The DNA double helix symbolizes how the structure of life (DNA sequences) provides inspiration for algorithms in ________, particularly in bioinformatics, genomics, and healthcare AI.

a)

machine learning

b)

astrophysics

c)

civil engineering

d)

linguistics

25.

Which of the following is NOT a step in the Machine Learning Workflow as described in the illustration?

a)

DNA Sequencing

b)

Data Collection

c)

Evaluation

d)

Data Preprocessing

e)

Model Training

26.

ML models trained on DNA barcoding data can be used in food science to:

a)

Identify species in food products for authentication and safety.

b)

Increase the shelf life of food products.

c)

Enhance the taste of food products using genetic modification.

d)

Reduce the cost of food production by automating packaging.

27.

Fill in the blank: DNA is a metaphor for '______' — much like genes carry information for life, datasets carry information for AI models.

a)

data encoding

b)

genetic mutation

c)

protein synthesis

d)

cell division

28.

The illustration highlights the convergence of biology and AI by showing how machine learning deciphers biological complexity for applications in medicine, biotechnology, and food quality control.

a)

True

b)

False

29.

What does 'Food Quality Inspection' mean in the context of machine learning in food technology?

a)

ML models classify food items as ripe, unripe, fresh, or spoiled.

b)

ML models are used to automate food packaging processes.

c)

ML models predict the nutritional value of food items.

d)

ML models generate recipes based on available ingredients.

30.

What is 'Shelf-life Prediction' in machine learning for food technology?

a)

ML models predict how long packaged food will remain fresh.

b)

ML models estimate the nutritional value of food.

c)

ML models identify food packaging materials.

d)

ML models detect food allergens.

31.

What does 'Recipe Recommendation' refer to in machine learning for food technology?

a)

ML detects contamination by analyzing sensor data and lab results.

b)

ML suggests personalized food recipes based on user preferences and dietary restrictions.

c)

ML automates the cooking process using robotic chefs.

d)

ML predicts food shelf life using chemical analysis.

32.

What is 'Supply Chain Optimization' in the context of machine learning in food technology?

a)

ML predicts food demand, reducing waste and improving logistics.

b)

ML is used only for food packaging design.

c)

ML replaces all human workers in food factories.

d)

ML is used exclusively for marketing food products.

33.

What does 'Food Safety' mean in machine learning for food technology?

a)

ML detects contamination by analyzing sensor data and lab results.

b)

ML is used to automate food packaging processes.

c)

ML helps in designing new food flavors.

d)

ML is only used for marketing food products.

34.

Which application uses ML-enhanced cameras to grade and classify food by detecting color, shape, and texture defects with >99% accuracy?

a)

Computer Vision & Sorting

b)

Banana Grading

c)

Food Safety Risk Prediction

d)

Pathogen Detection in Milk

35.

Which application uses a mobile system with SVM and YOLO v3 to sort bananas for ripeness and defects, achieving ~96% overall accuracy?

a)

Computer Vision & Sorting

b)

Banana Grading

c)

Food Safety Risk Prediction

d)

Pathogen Detection in Milk

36.

Which application uses deep learning (e.g., XGBoost) to forecast safety issues in food supply chains with accuracy 74–93%?

a)

Computer Vision & Sorting

b)

Banana Grading

c)

Food Safety Risk Prediction

d)

Pathogen Detection in Milk

37.

Which application uses SVM models to process sensor and spectral data to identify pathogens and spoilage bacteria?

a)

Computer Vision & Sorting

b)

Banana Grading

c)

Food Safety Risk Prediction

d)

Pathogen Detection in Milk

38.

Fill in the blank: In the ML flow for food technology, ________, sensors, and environmental readings capture food-related data.

a)

images

b)

robots

c)

chemicals

d)

vehicles

39.

Fill in the blank: Techniques such as ________ analysis or textural profiling convert raw inputs into measurable features in food technology.

a)

spectral

b)

thermal

c)

chemical

d)

visual

40.

Fill in the blank: ML classifiers such as CNN, SVM, and ________ learn patterns of defects or contamination in food technology.

a)

XGBoost

b)

KNN

c)

Naive Bayes

d)

Random Forest

41.

Fill in the blank: Models deployed for real-time detection and quality grading in food technology can reject spoiled produce or flag ________.

a)

toxins

b)

colors

c)

shapes

d)

sizes

42.

Fill in the blank: The operational impact of ML in food technology includes enhancing efficiency, reducing waste, and strengthening ________.

a)

food safety

b)

marketing strategies

c)

packaging design

d)

customer loyalty

43.

Fill in the blank: In the 2010s, deep learning in image recognition was applied to AI in medical imaging, microbial detection in food, and ________ agriculture.

a)

precision

b)

organic

c)

sustainable

d)

traditional

44.

The illustration shows the application of machine learning in food technology as:

a)

Predicting food quality and safety using data analysis.

b)

Manual inspection of food products.

c)

Traditional cooking methods without technology.

d)

Use of artificial flavors in food production.

45.

What is the process shown on the left side in the description of machine learning in food technology?

a)

Scanning or capturing images of food items or crops using cameras or sensors

b)

Output results such as quality grading

c)

Processing scanned data using a neural network

d)

Packaging food products

46.

Fill in the blank: The center in the ML process represents a ________, which processes the scanned data and learns patterns from large datasets.

a)

neural network (ML model)

b)

database server

c)

web browser

d)

data entry operator

47.

Which of the following is NOT an application example in food technology mentioned in the text?

a)

Quality control in food processing

b)

Shelf-life prediction

c)

Food safety monitoring

d)

Weather forecasting

48.

Fill in the blank: Automated sorting systems in factories are an example of ________ in food technology.

a)

application of machine learning

b)

food preservation techniques

c)

manual labor processes

d)

traditional cooking methods

49.

According to the illustration caption, what does the biotech lab integrate with?

a)

Automated packaging system

b)

Robotic food processing line

c)

Food safety monitoring system

d)

Neural network model

50.

Fill in the blank: In the illustration, the right side shows a robotic food processing line with automated conveyor belts, robotic arms, and ________ preparing and packaging food products.

a)

sensors

b)

chefs

c)

drivers

d)

painters

51.

Fill in the blank: Machine Learning (ML) is a branch of _______ Intelligence (AI) that enables computers to learn patterns from data and improve performance without being explicitly programmed.

a)

Artificial

b)

Natural

c)

Mechanical

d)

Human

52.

Which type of Machine Learning learns from labeled data?

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

53.

Which type of Machine Learning finds hidden structures in unlabeled data?

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning