Prediction and Early Detection of Algal Blooms in Lakes and Reservoirs (PEDAL)
Sector: Telecommunications • Location: United Kingdom
Source: Smart Water Magazine
The PEDAL project aims to develop new tools to predict and manage harmful algal blooms before they grow by combining satellite images, drone technology, water quality data, and community input to build an early warning system. Using artificial intelligence, the system will help water companies take action sooner to improve water quality, protect nature, and reduce treatment costs.
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | planned |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The PEDAL project aims to develop new tools to predict and manage harmful algal blooms before they grow by combining satellite images, drone technology, water quality data, and community input to build an early warning system. Using artificial intelligence, the system will help water companies take action sooner to improve water quality, protect nature, and reduce treatment costs. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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Article Published Date | Obfuscated Data |
