It is concluded that robust research prioritization should combine LLM’s analytical speed with diverse expert perspectives to ensure equitable and comprehensive agenda setting, and that while a large language model (LLM) can accelerate the generation of candidate research agendas, it cannot substitute for inclusive, context-sensitive expert validation.
Desertification and a lack of fertile land are two of today’s most critical challenges,requiring rapid response. These difficulties provide enormous challenges to global agriculturalproductivity, as the quality of conventional pastures deteriorates, emphasizing the vital need toinvestigate alternate choices. This study...
E. Farmonov, Sh.U. Mirzaeva· Irrigation and Melioration· 0 citations
Artificial intelligence (AI) is now being used as a core technology in global climate change mitigation efforts, with evidence showing that AI data-center cooling optimization reduced energy use by 40 percent in data centers, the share of renewables in the grid increased from around 27 to 29 percent between 2019 and 20...
Hamid Raza Malik, Abdul Basıt, N. Nawaz et al.· International Journal of Inn...· 0 citations
This research evaluates three LLM-based approaches---direct zero-shot prompting, a staged workflow, and a multi-agent system---with six open-weight models to extract data from the intercropping literature, achieving the highest mean similarity-adjusted F1 of 0.577.
Ze-Hao Lu, Xing-Kui Xiong, W. van der Werf et al.· 0 citations
Microforests (also called mini forests or tiny forests) are increasingly recognized as a promising nature-based solution for mitigating urban challenges such as flooding, biodiversity loss, air pollution, and the heat island effect. Despite their rapid global adoption, practitioners have limited access to practical, ev...
Daniela J. Shebitz, Tess O. Drauschak, J. Evangelista et al.· Sustainability· 0 citations
It is argued that while AI has a “democratizing effect” in making research tasks less costly and more convenient for scholars worldwide, it simultaneously increases skill requirements, efficiency pressures and thresholds for what counts as valuable data and knowledge.
Stephan Manning· Critical Perspectives on Int...· 0 citations
Artificial intelligence (AI) is routinely presented as transformative for the several hundred million people in South Asia whose food security depends on farms of less than two hectares, yet the claims made on its behalf have advanced faster than the evidence behind them. This review critically examines what is known a...
Amar Singh, Vinod Kumar Shukla, Chatter Singh· Outlook on Agriculture· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026