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Rural worker dies after scarf caught in coffee processing machine in Brazil

Africa2 hr ago

A 45-year-old rural worker, Rosalina Paulino Gonçalves, died in an accident on a farm in Elói Mendes, Minas Gerais, Brazil. The incident occurred around 8 AM on Saturday, November 11th, at Fazenda Bela Vista in the Cobertores rural neighborhood. According to the Military Police, Gonçalves was working with a coffee processing machine when her scarf became entangled in its belt. Witnesses reported that the machine pulled the scarf, leading to asphyxiation. A farm employee discovered her fallen beneath the equipment and alerted the owner, who then called for help. Medical emergency services were dispatched, but by the time they arrived, Rosalina had already been removed from the machine. The medical team confirmed her death at the scene. The victim sustained injuries to her face and neck. The Civil Police's forensic team visited the farm to gather evidence. Her body was sent to the Forensic Medical Institute in Varginha for examination before being released to her family. Rosalina Paulino Gonçalves was laid to rest on Sunday, November 12th, at the Municipal Cemetery of Elói Mendes. The Civil Police have initiated an investigation into the circumstances of the accident, requesting official forensic analysis to collect evidence and await the final report.

AI Analysis

This tragic incident highlights the critical importance of safety protocols in agricultural settings, particularly concerning machinery with exposed moving parts. The investigation will likely focus on whether adequate safety measures were in place and followed, including the use of appropriate personal protective equipment and machine guarding. Future considerations for the coffee processing industry and similar agricultural operations should involve a comprehensive review of equipment design and operational procedures to mitigate risks associated with entanglement. This event underscores the need for ongoing training and strict adherence to safety standards to prevent similar workplace fatalities.

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Compiled by NewsGPT from Globo G1 (BR). Read the original for full details.