Analyse de l'application Digital Field Assistant pour le 3 décembre

The Digital Field Assistant is a powerful, offline-enabled, mobile app designed for researchers, conservationists, ecologists, and citizen scientists to collect, map, and analyze biodiversity data in the field with ease. It seamlessly integrates with the web-based Okala Biodiversity Dashboard to provide an end-to-end platform for species monitoring, habitat mapping, and data-driven conservation. With the Digital Field Assistant, users can design and implement custom data collection protocols using a flexible form builder. Protocols can include a wide range of input types, such as numeric fields, text notes, checkboxes, dropdowns, and multimedia like photos, audio recordings, and videos. The app supports advanced geospatial mapping tools, allowing users to record data as points, lines, or polygons, making it ideal for habitat surveys, transect monitoring, and other methods. AI-powered species identification is enabled on the Okala Biodiversity Dashboard, where audio and video recordings can be automatically analyzed through global AI models trained to identify a wide range of species, including mammals, birds, insects, amphibians, and plants. With further support for eDNA data, camera trap images and videos, and bioacoustic data, the platform makes collecting, analysing and reporting ecological data fast, accurate and scalable. Key Features: Custom Form Builder: Create tailored field protocols for any research focus or survey type. Multimedia Data Collection: Capture text, numbers, photos, audio, video, and geolocation in a single entry. Geospatial Mapping Tools: Map points, lines, and polygons for detailed spatial context. AI-Powered Species Identification: Automatically identify species from sound, image, and video using global models. Offline Mode: Collect data in remote locations and sync when connectivity is available. Seamless Integration: All data syncs to the Okala Biodiversity Dashboard for analysis and visualization. Cross-Taxa Detection: Detect species across taxa including birds, mammals, insects, amphibians, and plants. Secure Cloud Storage: Ensure data safety with encrypted cloud backups. Whether you're monitoring wildlife in a remote forest, conducting urban biodiversity surveys, or running long-term ecological research, the Digital Field Assistant empowers you to collect high-quality, standardized data—while leveraging cutting-edge AI to uncover insights faster than ever before. Join a global community of researchers and conservationists using the Okala platform to advance biodiversity science and environmental stewardship.