In the field of wildlife conservation, data solutions must first overcome the challenges of effective data collection and dirty data before they can generate insights or drive better decisions.
It takes a long time to convert data collected on paper into a useful digital format.
Collected data is often stored in registers and folders, stored away in cabinets, making it difficult to find.
Wildlife data analysis is time-sensitive. If a decline in population is found too late, it could spell the end for a species.
All relevant data, like location, image, and sound cannot be recorded at once and usually requires different instruments.
Data is mostly scattered, disconnected, and hardly ever in one place. This makes it difficult to share with decision makers.
Data across different systems and data sets is often contradictory, inaccurate, and outdated.
where it can solve the problems that need it the most, in the places that need it the most.
Track wildlife movements and identify territories with ease. Collect data about the most frequented corridors and wildlife density in different parts of the forest.
An online census allows easy access to all the relevant information so that focused interventions can be undertaken wherever required.
Surveys of populations in and around National Parks or Wildlife Sanctuaries can enable informed decisions.
Mobile data collection can aid research on factors like habitat, genes, and the population of wildlife species.
Keep a track of all available resources in and around forests and take decisions based on availability and exploitation data.
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