- IoT - Liability
- IoT - Identity Protection
- IoT - Security
- IoT - Contiki
- IoT - Eclipse
- IoT - GE Predix
- IoT - Salesforce
- IoT - CISCO Virtualized Packet Zone
- IoT - Thingworx
- IoT - Consumer Applications
- IoT - Law Enforcement Applications
- IoT - Government Applications
- IoT - Education Applications
- IoT - Transportation Applications
- IoT - Building/Housing Applications
- IoT - Healthcare Applications
- IoT - Energy Applications
- IoT - Manufacturing Applications
- IoT - Environmental Monitoring
- Media, Marketing, & Advertising
- Internet of Things - Common Uses
- IoT - Technology & Protocols
- Internet of Things - Software
- Internet of Things - Hardware
- Internet of Things - Overview
- Internet of Things - Home
Internet of Things Useful Resources
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
IoT - Environmental Monitoring
The apppcations of IoT in environmental monitoring are broad − environmental protection, extreme weather monitoring, water safety, endangered species protection, commercial farming, and more. In these apppcations, sensors detect and measure every type of environmental change.
Air and Water Pollution
Current monitoring technology for air and water safety primarily uses manual labor along with advanced instruments, and lab processing. IoT improves on this technology by reducing the need for human labor, allowing frequent samppng, increasing the range of samppng and monitoring, allowing sophisticated testing on-site, and binding response efforts to detection systems. This allows us to prevent substantial contamination and related disasters.
Extreme Weather
Though powerful, advanced systems currently in use allow deep monitoring, they suffer from using broad instruments, such as radar and satelptes, rather than more granular solutions. Their instruments for smaller details lack the same accurate targeting of stronger technology.
New IoT advances promise more fine-grained data, better accuracy, and flexibipty. Effective forecasting requires high detail and flexibipty in range, instrument type, and deployment. This allows early detection and early responses to prevent loss of pfe and property.
Commercial Farming
Today s sophisticated commercial farms have exploited advanced technology and biotechnology for quite some time, however, IoT introduces more access to deeper automation and analysis.
Much of commercial farming, pke weather monitoring, suffers from a lack of precision and requires human labor in the area of monitoring. Its automation also remains pmited.
IoT allows operations to remove much of the human intervention in system function, farming analysis, and monitoring. Systems detect changes to crops, soil, environment, and more. They optimize standard processes through analysis of large, rich data collections. They also prevent health hazards (e.g., e. cop) from happening and allow better control.
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