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Toyota Takes on Tesla with $3 Billion Investment in Autonomous Driving

Toyota is intensifying its competition with Tesla through a substantial investment of over $3 billion in autonomous vehicle technology, in collaboration with Japanese telecom giant Nippon Telegraph and Telephone (NTT). Announced by Toyota CEO Koji Sato, this investment will focus on creating an AI-powered infrastructure and software platform designed to improve road safety and reduce traffic accidents.

Toyota and NTT will jointly invest $3.27 billion to build a robust AI-driven platform aimed at predicting and responding to traffic incidents, with implementation slated for 2028 and potential sharing with other companies. This AI-powered network is expected to enhance safety, making autonomous driving systems more adaptive to real-time traffic situations.

Background

Japanese companies, including Toyota and NTT, have been investing in autonomous technology for years, though they lag behind competitors like Tesla and BYD in developing software-defined vehicles. Toyota and NTT’s partnership began in 2017 with a focus on 5G applications for vehicles, expanding in 2020 to include a smart city project. By 2021, Toyota had also launched a specialized division dedicated to AI-driven autonomous driving technology.

Tesla, meanwhile, remains a prominent player in autonomous driving, having recently unveiled its robotic taxi and begun initial tests of a taxi service in the U.S. However, the timeline for mass production of Tesla’s robotic taxis remains uncertain.

In 2023, Toyota reported a revenue of $270.5 billion, while NTT’s revenue was approximately $97.4 billion last year. With this new venture, Toyota aims to close the gap in the autonomous driving race, positioning itself to make significant strides in the industry.

Only 1% Of Cyprus Farms Use Precision Farming Technologies

Cyprus remains one of the European Union’s least digitised agricultural economies, with just 1% of farms using precision farming technologies in 2023, according to Eurostat.

The findings come as the EU continues to encourage the adoption of digital tools aimed at improving agricultural productivity, efficiency and sustainability.

Internet Access Expands, But Digital Uptake Lags

Internet access has improved across the bloc, although adoption remains uneven. Eurostat found that 43% of EU farms had internet access in 2023, with northern and central European countries leading the way.

Denmark, Germany, Slovakia, Latvia, the Czech Republic and Austria all reported internet access rates above 90%.

Greater connectivity, however, has not translated into widespread digital adoption. Farm management information systems, which help farmers manage day-to-day operations, were used by only about 11% of EU farms. France was a notable exception, with around 60% of farms using the technology.

Precision Farming Concentrated In Larger Operations

Robotics adoption also remained relatively limited, with only about 7% of EU farms using robotic technologies. Overall, around 18% of farms with utilised agricultural area employed at least one precision farming technology or practice in 2023.

These included robotics for plant protection, band spraying, variable-rate application, precision crop monitoring and soil analysis. Despite representing fewer than one in five farms, these holdings accounted for around 44% of the EU’s utilised agricultural area.

The figures suggest that precision farming remains concentrated among larger agricultural businesses, where investment in digital technologies is typically easier to support.

Cyprus Lags Behind EU Leaders

Luxembourg, Finland and Estonia recorded the highest shares of utilised agricultural area managed by farms using precision farming technologies, each exceeding 75%.

At the other end of the ranking, Cyprus recorded just 1%, while Greece and Romania reported between 10% and 15%. The results indicate that Cyprus remains at an early stage of digital adoption in agriculture, even as precision farming becomes more widespread across parts of the European Union.

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