ON
← Natrag na feed
Sljedeću haljinu malina možda će pokupiti robot
United States🏛️ PolitikaSredinaprije 12 h

Sljedeću haljinu malina možda će pokupiti robot

Automatizacija sve više utječe na poljoprivredu, osobito u berbi voća. Tvrtke poput Fieldwork Robotics razvijaju robote na temelju umjetne inteligencije koji su sposobni sakupljati maline s preciznošću, rješavanjem nedostatka radne snage i smanjenjem otpada. Ovi roboti, montirani na samovozeća vozila, koriste strojno učenje i senzore za prepoznavanje zrelog bobica i rade kontinuirano bez prekida. Iako su dizajnirani za dopunu, a ne za zamjenu ljudskih radnika, nude povećanje učinkovitosti kroz produženo radno vrijeme i poboljšanu produktivnost.

Fieldwork Robotics, a British company established in 2016, has unveiled an AI-driven robot capable of picking raspberries, marking a pivotal step toward robotic automation in agriculture. The innovation comes amid rising concerns over labor shortages and the need for greater efficiency in food production. According to the company's director and chief technical officer, Sid Shaikh, the robot is designed to address both challenges by offering a reliable, consistent method of harvesting a fruit known for its fragility. The robot operates on a self-driving, battery-powered base vehicle equipped with four harvesting arms. Each arm features a patented picking cup, which resembles a small paw and includes an inflatable membrane. This mechanism allows the robot to gently grasp each raspberry without damaging the fruit. The system relies on advanced sensors and machine learning algorithms to identify ripe berries, distinguishing between seven levels of ripeness. This capability enables the robot to cater to varying customer demands, some requiring perfectly ripe fruit while others prefer slightly underripe berries for better durability during transportation. During testing in the United Kingdom last year, the robot demonstrated impressive speed, completing the task of picking a 328-foot-long row of raspberries in approximately 40 minutes. Its efficiency continues to improve, with projections indicating it could harvest between 3.3 to 4.4 pounds of fruit per hour. These figures highlight the potential of robotic systems to significantly increase output compared to traditional manual methods. One of the key advantages of using such robots is their ability to operate continuously without the need for rest periods or additional compensation. Unlike human workers, who require breaks and may face issues such as absenteeism, robots can function around the clock, enhancing overall productivity. Furthermore, these machines can be adapted to handle multiple types of crops through interchangeable attachments, providing versatility in agricultural applications. Shaikh emphasized that the primary goal of deploying these robots is not to replace human labor entirely but to augment it. By combining the strengths of both humans and machines, farms can benefit from reduced costs and increased efficiency. He noted that human-robot teams could potentially achieve a lower cost-per-kilo than fully automated setups due to the extended operational hours achievable with the same equipment. In addition to boosting productivity, the use of harvesting robots helps minimize waste. The machines can clear large portions of a row, allowing human workers to focus on areas that remain inaccessible or visually complex. This division of labor ensures that fruits previously overlooked are now efficiently harvested, further contributing to sustainability efforts within the farming industry. Looking ahead, Fieldwork Robotics plans to enhance its technology to improve detection capabilities. Future iterations of the platform will aim to identify berries hidden among foliage or in hard-to-reach locations, thereby increasing accuracy and coverage. As this technology matures, it signals a broader shift towards automation in agriculture, promising to transform how fruits are cultivated and harvested globally.

Kako je izvijestila svaka strana

Isti događaj, grupiran prema političkom nagibu medija koji su o njemu izvještavali.

Kako je izvijestila svaka strana

Podržite neovisne vijesti svjesne pristranosti i otključajte društveni puls, glasovanje zajednice i svoj personalizirani feed Za tebe.

Postani podupiratelj

Izvještavanje u svijetu

Isti događaj kako se o njemu izvještavalo u drugim zemljama.

Izvještavanje u svijetu

Podržite neovisne vijesti svjesne pristranosti i otključajte društveni puls, glasovanje zajednice i svoj personalizirani feed Za tebe.

Postani podupiratelj

Provjera tvrdnji

Ključne činjenične tvrdnje i koliko ih izvora potvrđuje odn. osporava.

Provjera tvrdnji

Podržite neovisne vijesti svjesne pristranosti i otključajte društveni puls, glasovanje zajednice i svoj personalizirani feed Za tebe.

Postani podupiratelj

1 izvještaja

Newsweek logoNewsweekNeovisanSredinaprije 12 h
Sljedeću haljinu malina možda će pokupiti robot

Automatizacija sve više utječe na poljoprivredu, osobito u berbi voća. Tvrtke poput Fieldwork Robotics razvijaju robote na temelju umjetne inteligencije koji su sposobni sakupljati maline s preciznošću, rješavanjem nedostatka radne snage i smanjenjem otpada. Ovi roboti, montirani na samovozeća vozila, koriste strojno učenje i senzore za prepoznavanje zrelog bobica i rade kontinuirano bez prekida. Iako su dizajnirani za dopunu, a ne za zamjenu ljudskih radnika, nude povećanje učinkovitosti kroz produženo radno vrijeme i poboljšanu produktivnost.

Procjena pristranosti (Sredina): Članak predstavlja uravnotežen pregled tehnološkog napretka u poljoprivredi bez otvorene favoriziranja bilo kakve političke ideologije.

Neka vijesti ostanu poštene.

ObjectiveNews financiraju čitatelji i bez oglasa je – pristranost vam pokazujemo, ne skrivamo. Podržite neovisno novinarstvo za 5 €/mjesec.

Postani podupiratelj

Povezane priče