Machine Learning and IoT Concepts

These flashcards cover key concepts in machine learning, remote sensing, and IoT technologies based on the lecture notes.

What machine learning technique is used to find a pattern in a dataset with no labels?

Clustering

What method would you use to predict the height of trees?

Regression

What are agricultural products?

Crops, like wheat

What is the main difference between active and passive sensors?

Source of energy

Which remote sensing platform has the highest ground coverage?

Spaceborne (satellite)

Email spam detection is an example of what machine learning technique?

Classification

In an RGB image, where does healthy vegetation exhibit the highest reflectance?

Green

What is the key advantage of hyperspectral imaging over multispectral imaging?

Hyperspectral imaging offers a higher spectral resolution.

What differentiates true color composites from false color composites in remote sensing?

True color composites represent the Earth's surface as seen by the human eye, while false color composites use non-visible wavelengths.

What AI application involves interacting with users in a human-like way?

Chatbots

What characterizes reinforcement learning in AI?

A technique where the model is rewarded or penalized based on its decisions.

What is a 'thing' in the context of IoT?

A physical object with unique identifiers and features to perform specific functions.

Which scenario illustrates autonomous decision-making in IoT?

A smart irrigation system that activates based on soil moisture levels and weather forecasts.

What best illustrates the use of spatial data in precision agriculture?

GIS-based maps showing variability in soil moisture across a field.

What is the main advantage of Variable Rate Technology (VRT)?

Adjusts resource application rates based on field variability.

Which digital tool can diagnose yield problems in a field?

Remote sensing or drone imaging to identify variability in soil or plant health.

What is the internet of things (IoT)?

A network of physical objects that are connected and able to collect and exchange data.

What is the main difference between supervised and unsupervised learning methods?

Supervised learning uses labeled data, while unsupervised learning does not.

List two examples of supervised learning.

Classification and Regression.

What is the main function of a microcontroller in IoT devices?

To manage the operations and functionalities of the device.

What advantage does internet connectivity offer to IoT devices?

Enables remote access and control, as well as data exchange.

What are the main components of an IoT device?

Sensors, connectivity, and a microcontroller.

What is an example of a reinforcement learning application?

A self-learning robot that improves its task efficiency over time.