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AER Spotlight

Deep learning object detection to estimate the nectar sugar mass of flowering vegetation

A shining example of the use of technology to help land managers quickly and easily survey their ecological resources in the face of increasingly results-based agri-environment schemes. The new model cuts survey time from hours to minutes and can be adapted to survey other ecological resources.

 

Publication supported by Department for Environment, Food and Rural Affairs (Defra) – an AER Platinum Member.

 

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Recently Added

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Carbon storage by habitat: review of the evidence of the impacts of management decisions and condition of carbon stores and sources.

The aims of this Natural England cross-cutting Evidence project were: (1) To collate information and identify knowledge gaps on carbon stocks (both in...

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journal article  | 

Facebook groups as citizen science tools for plant species monitoring.

Social networks offer communication channels through which people share huge amounts of primary data that can be used for scientific analyses, includi...

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Rwanda climate services for agriculture: farmers willingness to pay for improved climate services.

This willingness-to-pay (WTP) study aims to understand how Rwandan farmers value the improved characteristics of agricultural climate services introdu...

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Ecological Solutions and Evidence

Issue 2:3 out now!

Discover our fantastic collection of articles from practice and research featuring a variety of topics across our unique article types including Registered Reports and Practice Insights.

Read the full issue
Read the full issue

Upcoming events

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Liverpool, UK

Ecology Across Borders 2021

Join us at our joint Annual Meeting with the French Society for Ecology and Evolution (SFE²)

READ MORE about Ecology Across Borders 2021

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