首页|New Findings from University of Tasmania Describe Advances in Artificial Intelli gence (Irrigation with Artificial Intelligence: Problems, Premises, Promises)
New Findings from University of Tasmania Describe Advances in Artificial Intelli gence (Irrigation with Artificial Intelligence: Problems, Premises, Promises)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news reporting out of the University of Tasmania by NewsRx editors, research stated, "Protagonists allege that artif icial intelligence (AI) is revolutionising contemporaneous mindscapes." Financial supporters for this research include Grains Research And Development C orporation. The news journalists obtained a quote from the research from University of Tasma nia: "Here, we authoritatively review the status quo of AI and machine learning application in irrigated agriculture, evaluating the potential of, and challenge s associated with, a wide range of existential AI approaches. We contend that as piring developers of AI irrigation systems may benefit from human-centred AI, a nascent algorithm that captures diverse end-user views, behaviours and actions, potentially facilitating refinement of proposed systems through iterative stakeh older feedback. AI-guided human-machine collaboration can streamline integration of user needs, allowing customisation towards situational farm management adapt ation. Presentation of big data in intuitive, legible and actionable forms for s pecialists and laypeople also urgently requires attention: here, AI-explainable interpretability may help harness human expertise, enabling end-users to contrib ute their experience within an AI pipeline for bespoke outputs. Transfer learnin g holds promise in contextualising place-based AI to agroecological regions, pro duction systems or enterprise mixes, even with limited data inputs. We find that the rate of AI scientific and software development in recent times has outpaced the evolution of adequate legal and institutional regulations, and often social , moral and ethical license to operate, revealing consumer issues associated wit h data ownership, legitimacy and trust."
University of TasmaniaArtificial Intel ligenceEmerging TechnologiesMachine Learning
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