We found 28 results that contain "green 1"

Posted on: #iteachmsu
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Posted by about 1 year ago
Edited -- A natural disaster is the highly harmful impact on a society or community following a natural hazard event. The term "disaster" itself is defined as follows: "Disasters are serious disruptions to the functioning of a community that exceed its capacity to cope using its own resources. Disasters can be caused by natural, man-made and technological hazards, as well as various factors that influence the exposure and vulnerability of a community."[17]

The US Federal Emergency Management Agency (FEMA) explains the relationship between natural disasters and natural hazards as follows: "Natural hazards and natural disasters are related but are not the same. A natural hazard is the threat of an event that will likely have a negative impact. A natural disaster is the negative impact following an actual occurrence of natural hazard in the event that it significantly harms a community.[1] An example of the distinction between a natural hazard and a disaster is that an earthquake is the hazard which caused the 1906 San Francisco earthquake disaster.

A natural hazard[18] is a natural phenomenon that might have a negative effect on humans and other animals, or the environment. Natural hazard events can be classified into two broad categories: geophysical and biological.[19] Natural hazards can be provoked or affected by anthropogenic processes, e.g. land-use change, drainage and construction.[20]

There are 18 natural hazards included in the National Risk Index of FEMA: avalanche, coastal flooding, cold wave, drought, earthquake, hail, heat wave, tropical cyclone, ice storm, landslide, lightning, riverine flooding, strong wind, tornado, tsunami, volcanic activity, wildfire, winter weather.[1] In addition there are also tornados and dust storms.

Posted on: #iteachmsu
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Posted by 8 months ago
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Predominantly hyperactive/impulsive type.
The student may:
o Appear to be in constant motion,
o frequently fidget or move in his or her seat,
o become restless during quiet activities,
o leave his or her seat when expected to remain seated,
o interrupt others and classroom activities,
o talk excessively, and/or
o fail to follow classroom procedures (e.g., blurt out answers without raising hand).



Posted on: #iteachmsu
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Posted by 4 months ago
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The IoT-Based Smart Farming Cycle
The core of IoT is the data you can draw from things and transmit over the internet. To optimize the farming process, IoT devices installed on a farm should collect and process data in a repetitive cycle that enables farmers to react quickly to emerging issues and changes in ambient conditions. Smart farming follows a cycle similar to this one:

1. Observation . Sensors record observational data from the crops, livestock, soil, or atmosphere.

2. Diagnostics. The sensor values are fed to a cloud-hosted IoT platform with predefined decision rules and models—also called "business logic"—that ascertain the condition of the examined object and identify any deficiencies or needs.

3. Decisions . The user and/or the machine learning-driven components of the IoT platform assess the revealed issues to decide if location-specific treatment is necessary.

4. Action . After end-user evaluation and action, the cycle repeats from the beginning.

Posted on: Smoke test group : What is Smart Farming? It's The Future of Agriculture -- edited
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Posted by 5 months ago
The IoT-Based Smart Farming Cycle
The core of IoT is the data you can draw from things and transmit over the internet. To optimize the farming process, IoT devices installed on a farm should collect and process data in a repetitive cycle that enables farmers to react quickly to emerging issues and changes in ambient conditions. Smart farming follows a cycle similar to this one:

1. Observation . Sensors record observational data from the crops, livestock, soil, or atmosphere.

2. Diagnostics. The sensor values are fed to a cloud-hosted IoT platform with predefined decision rules and models—also called "business logic"—that ascertain the condition of the examined object and identify any deficiencies or needs.

3. Decisions . The user and/or the machine learning-driven components of the IoT platform assess the revealed issues to decide if location-specific treatment is necessary.

4. Action . After end-user evaluation and action, the cycle repeats from the beginning.