Abstract
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Artificial Intelligence (AI) is quickly changing the way we study and work with plants, giving us new tools to better understand, grow, and manage them sustainably. Its uses are wide-ranging, from identifying plant species and detecting diseases to predicting crop yields and improving breeding strategies. By applying AI methods such as machine learning and image recognition, researchers can analyse complex plant data more accurately, uncovering important traits and the molecular processes behind them.
Tools like digital phenomics and advanced data integration make it easier to visualize and compare large, diverse datasets, driving innovation in food and agricultural technologies. While AI holds great promise, making the most of it requires collaboration between scientists, industry, and other stakeholders, as well as careful consideration of ethical and societal impacts. Overall, AI is poised to transform plant science, offering both deeper understanding and practical solutions for sustainable agriculture.
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