Mobile app developed by MSSRF to help fishers, protect Olive Ridleys, wins IUCN conservation award

7 months ago 2
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In the waters disconnected India’s eastbound coast, an invisible enactment separates marine conservation from economical hardship. Cross that line, adjacent unintentionally, and a sportfishing household faces ineligible penalties, oregon worse, could suffer a boat. 

That enactment is present becoming harder to cross, acknowledgment to a mobile telephone app designed by the M.S. Swaminathan Research Foundation (MSSRF). Recently, the app — Fisher Friend Mobile Application — won the Tech4Nature Award astatine the IUCN World Conservation Congress successful Abu Dhabi, for its relation successful protecting endangered Olive Ridley turtles portion supporting the communities that unrecorded disconnected the sea.

One of the app’s astir impactful features is the No-Fishing Zone Alert system, which uses geolocation exertion to notify fishers successful existent clip erstwhile they attack notified nesting sites. These zones are captious for the turtles, which migrate successful millions each twelvemonth to nest connected the Odisha coast. Seasonal sportfishing bans betwixt November and May are meant to support them, but the deficiency of disposable boundaries has led to countless accidental violations.

“Fishers cannot spot these boundaries with their eyes,” says Velvizhi S., Area Director of MSSRF’s Coastal and Marine Resources Programme. “The No-Fishing Zone Alert transforms invisible ineligible boundaries into real-time notifications that fishers tin recognize and enactment upon immediately. This protects the turtles portion preventing fishers from facing penalties that could devastate their families,” adds Ms. Velvizhi.

The diagnostic was co-developed with Odisha’s Fisheries department, incorporating feedback from sportfishing communities and built specifically to relation offline arsenic it is indispensable for boats that often run without mobile web coverage. The strategy uses geo-fencing to people 4 cardinal conservation zones, including the Gahirmatha Marine Wildlife Sanctuary and 3 stream mouths. When a vessel crosses wrong 200 metres of immoderate of these areas, the app sends an automatic warning.

To date, the alert has been triggered implicit 7,000 times, apt preventing thousands of incursions into protected habitats.

Post-tsunami intervention

The Fisher Friend app was archetypal developed successful the aftermath of the 2004 Indian Ocean tsunami, with enactment from Qualcomm and the Indian National Centre for Ocean Information Services (INCOIS). Originally, a instrumentality for sharing upwind and water information, it has evolved done 54 iterations, shaped by changeless feedback from fishers themselves.

Today, the app serves astir 1,22,000 registered users crossed 9 coastal states and 1 national territory, offering services successful 9 Indian languages. It provides real-time accusation astir upwind conditions, sportfishing zones, catastrophe alerts, and authorities schemes. It besides helps fishers navigate hazards, specified arsenic rocks, sunken ships and coral reefs.

“Fishermen successful Tamil Nadu, Puducherry and Andhra Pradesh are utilizing the mobile app to navigate information zones similar rocks, sunken ships and dormant coral reefs,” says Ms.Velvizhi. The MSSRF is present exploring AI-powered chatbots successful determination languages to further amended accessibility.

Local knowledge, planetary impact

Soumya Swaminathan, Chairperson of MSSRF, describes the app arsenic a exemplary of collaboration and participatory development. “It has evolved implicit the past 12–13 years. Many of the updates are shaped straight by inputs from fisherfolk,” she says.

Ms. Velvizhi notes that portion determination is simply a communal cognition that sportfishing communities are hesitant to follow technology, they follow it readily erstwhile it meets their existent needs, particularly erstwhile section cognition is respected and integrated into the design.

With planetary designation present down it, MSSRF hopes to grow the application’s exemplary to different coastal regions successful concern with organisations similar IUCN. The squad besides plans to widen its efforts towards the conservation of dugongs, different susceptible marine species.

“Fishers are present asking for much granular water information, specified arsenic microclimate data, which they accidental often differs from broader forecasts. We’re besides exploring ways to standard this up crossed different South Asian countries and use AI to amended analyse the data,” says Dr. Soumya Swaminathan.

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