Plugin & Ambient Weather Partnership Solution Now Available for Organizations

by PRC Agency PR

What are the likely benefits of Plugin--Ambient Weather Partnership

How can users Participate: Individuals or organizations that are interested in smart weather systems and willing to be part of Plugin WFN project must first purchase Ambient Weather’s smart weather system. Upon acquiring and installation of the smart weather forecast station, the user should go ahead and connect their device to Plugin’s portal. The registration process involves generating an 'applicationkey' & 'apikey' to register the new device.

Increasing Utility for Weather Forecast Data: Previously, weather intelligence systems relied upon distributed radar and satellite systems to gather data. While the data has been useful, it has been general in nature, thus limiting its scope. Particularly, such data has lacked accurate and real-time aspects that help businesses make more informed choices.

On the other hand, generic weather forecasts from distributed radar systems produce raw data that’s relatively expensive, confusing, and inaccessible to many end-users. The raw data is often nested within weather stations in airports, government agencies, and academic institutions. As well, the data is released to the public via endpoints controlled by centralized organizations like the National Oceanic and Atmospheric Administration (NOAA), National Aeronautics and Space Administration (NASA), the World Meteorological Organization, etc. Many a time, released data sets aren’t in real-time and may be complicated, necessitating expert assistance to digest the data for ordinary end-users

However, the Plugin--Ambient weather partnership solves these problems. With decentralized weather forecast sensors (made possible via Ambient weather’s smart solutions), Plugin collects highly granular data that’s cryptographically signed before being uploaded onto PLI’s blockchain. Thanks to the partnership, data users can verify the provenance of the data by checking the coordinates tagged with the data.

What's more, the decentralized, yet highly trustworthy, nature of collected weather forecast data increases the accuracy, accessibility, and user-friendliness of climate data. It also lowers the costs of climate data. The resulting ease-of-use and ease-of-access to highly accurate and verifiable climate data give autonomy to end users that could not previously acquire the data and make appropriate decisions. The increased access to data opens-up opportunities for numerous use-cases that leverage the diverse nature of climate data. Some unique examples include crop insurance and logistics.

Reducing Climate-Related effects globally

The Plugin--Ambient weather partnership also unlocks benefits and synergies that have significant potential to reduce climate-related effects. With highly granular data and improved provenance, the partnership holds the key to unlocking efficiencies in agriculture, disease control, conservation, humanitarian and military operations, and mitigating climate-related challenges.

In agriculture, for instance, highly granular data that's made possible by the partnership will help alleviate challenges straining the agriculture production system. Worth noting, projections show that the agriculture sector will have to feed roughly 9.8 billion people by 2050. Accompanying the rising population is a multiplicity of adverse environmental effects that put significant strain on the productivity of previously valued arable regions. These strains are projected to increase given the predicted extreme weather conditions and increasing effects of global warming.

Nonetheless, food production systems can benefit from highly accurate and granular data---availed by the partnership between Plugin and Ambient weather.

For instance, farmers and food providers can benefit from accurate and real-time climatic data in many ways. In particular, having highly granular data on weather patterns helps food producers make accurate decisions before, during, and after their production cycles. With climate change requiring farmers and breeders to respond to changes faster and in smarter ways, data-driven decentralization of weather forecasting (as seen in the Plugin - Ambient weather partnership) can improve predictions and improve breed selection in dynamic production environs. Improvements in breed selection will result in increased productivity.

On the other hand, decentralized data collected via Ambient’s weather sensors has the potential to improve humanitarian and