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Experts named the prospects for the introduction of AI in construction and agriculture

AI Alliance: agricultural drones with AI have become more widely used in agriculture
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In the first quarter of 2025, the active use of artificial intelligence (AI) in design, construction cycle management and BIM modeling continued. It has also been implemented in the Russian agro-industrial complex to improve agricultural efficiency, monitor the environment and reduce costs. This follows from the industry digest of the Alliance in the field of AI, which was reviewed by Izvestia on April 28.

At the same time, the construction industry relies on reducing the time and cost of projects through the introduction of such technologies. Experts cited the results of a McKinsey study, according to which the global AI market in construction is growing by 25% per year.

According to analysts, the key trends in the coming years will be: generative design; automated quality control using computer vision; automated documentation creation using artificial intelligence.

"AI in construction is moving towards a full automation cycle, from concept generation to execution control. However, barriers remain: regulators' distrust of fully autonomous solutions and the need for integration with BIM systems," the digest says.

At the same time, there is an increase in the use of agricultural drones with AI in agriculture. They are becoming the standard in large agricultural holdings. According to data from AgriTech Analytics, their share will increase to 40% of the market by 2026.

In addition, experts noted that the agricultural sector is actively implementing artificial intelligence for precision farming and eco-control.

According to Ak Bars Holding Company JSC, AI technologies that combine field scouting, inventory collection and write-off, and automatic tasks for machine operators from agronomists can become a priority in crop production.

The Analytical Center for Forestry and Agriculture believes that the use of AI technologies in combination with remote sensing of the Earth to analyze soil composition is a promising area. They also added that the use of artificial intelligence to analyze satellite imagery and drone data is becoming a key tool in farmland management.

"Such algorithms not only update field maps with 98% accuracy, but also allow you to monitor the condition of crops in real time, detect signs of soil degradation and identify abandoned areas. AI solutions are particularly effective in conjunction with GIS systems, but require high-quality source data," the digest clarifies.

Earlier, on March 6, it was reported that the majority of creative specialists surveyed actively use neural networks in their work. At the same time, 43% of respondents use them on a regular basis, according to the results of a study by the Moscow Creative Industries Agency and MTS AI. Artists, designers, representatives of the advertising and fashion industries most often use AI to generate ideas and new concepts.

Переведено сервисом «Яндекс Переводчик»

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