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Investing in Smarter Agriculture: Cyprus Charts a Path Toward a Resilient Primary Sector

by THEFUTURE.TEAM

July 8, 2025

Advancing a Sustainable, Competitive Future

Cyprus is set to transform its primary sector through an ambitious Strategic Plan for the Common Agricultural Policy (CAP) 2023-2027. With an allocation exceeding €450 million for rural development, this initiative underscores the nation’s commitment to creating a sustainable, future-proof agriculture industry built on smart technologies and precision farming techniques.

Embracing Smart Agriculture in Field Crops

Agriculture Minister Maria Panayiotou outlined the plan’s core vision during a training session at the University of Cyprus focused on smart agriculture in field crops. In collaboration with the Agricultural University of Athens, further training sessions will expand the scope by addressing advanced applications in greenhouse management and livestock farming.

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Precision Farming to Optimize Resources

Minister Panayiotou emphasized that smart agriculture is the sole viable strategy for achieving increased productivity with fewer resources. Amid challenges such as water scarcity, rising production costs, and climate variability, the integration of technologies like remote sensing, GPS, robotics, and drones is pivotal. These innovations enable targeted use of inputs—water, nutrients, and plant protection measures—thus allowing farmers to harness real-time data for optimal decision-making.

Overcoming Challenges Through Innovation

Despite the technological advances already making inroads into agricultural practices, challenges remain. High equipment costs, the prevalence of small, fragmented landholdings, and the need for digital skill development among farmers pose significant hurdles. Nonetheless, the government remains committed to bolstering the agri-food sector by incentivizing research, innovation, and modern farm management practices.

A Strategic Investment in the Future

The strategic plan’s modernization efforts include subsidies for state-of-the-art agro-meteorological stations, smart water meters, robotic weed control systems, and AI-driven plant protection tools. Additionally, an investment package of €67.5 million will support large-scale agricultural projects, with special grants aimed at fostering innovations among young farmers.

Collaboration for a Resilient Sector

Drawing inspiration from leading models such as the Dutch agricultural framework, Cyprus is uniting government, industry, and academia to drive forward a more resilient, efficient, and digitally empowered agricultural sector. By embracing these transformative technologies, the island nation is poised to secure a competitive edge in the global market while ensuring food adequacy and environmental stewardship.

The Future Forbes Realty Global Properties

by News Editor

August 24, 2026

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

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Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.