Bayer had 44 patents in artificial intelligence during Q1 2024. Bayer AG’s patents in Q1 2024 include methods, systems, and computer programs for predicting residues of plant protection agents in plants, training machine learning models for generating multimodal representations of objects, predicting growth stages of crops in fields, and producing artificial contrast-enhanced radiological images using machine learning methods. Additionally, a method is provided for predicting representations of examination regions generated using medical imaging techniques involving contrast agents. GlobalData’s report on Bayer gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Bayer grant share with artificial intelligence as a theme is 29% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Prediction of residues of plant protection agents in harvested products (Patent ID: US20240095639A1)
The patent filed by Bayer AG relates to predicting residues of plant protection agents in plants intended for human or animal consumption, specifically in vegetables and fruit. The invention includes a device with input, control, and output units that gather information on crop plants, crop protection products, application details, biomass, and environmental conditions to calculate residue amounts. The device uses mathematical function relationships, such as exponential functions, with machine learning models to determine residue levels and compare them to maximum limits, providing information on compliance and identifying suitable markets.
Additionally, the patent describes a computer-implemented method and a system involving multiple computer systems to predict residue amounts in crops based on input information and environmental conditions. The method and system utilize mathematical function relationships and machine learning models to calculate residue levels and transmit this information between systems. The computer program product triggers a computer system to receive input data, calculate residue amounts using mathematical functions and machine learning, and output information on residue levels. Overall, the patent focuses on innovative methods and systems for predicting and managing residue levels of plant protection agents in crops, ensuring compliance with regulatory standards and facilitating market access based on residue levels.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
