Sarkar Sukamal, Dey Saikat, Dhar Anannya, Chaki Apurbo K, Goswami Rupak, Gaydon Donald S, Garai Sourav, Brahmachari Koushik, Mainuddin Mohammad
Division of Agronomy, School of Agriculture and Rural Development, Ramakrishna Mission Vivekananda Educational and Research Institute, Narendrapur Campus, Kolkata, India.
Bangladesh Agricultural Research Institute, Gazipur, 1701, Bangladesh.
Int J Biometeorol. 2025 Jul;69(7):1599-1615. doi: 10.1007/s00484-025-02914-7. Epub 2025 Apr 11.
Agricultural research has consistently progressed through the integration of advanced technologies into farming systems. A significant paradigm shift in agricultural production system research has occurred with the development of simulation models, most notably the Agricultural Production System Simulator (APSIM). The APSIM supports a wide range of applications in agriculture, including on-farm decision-making on the basis of historical climatic data and future climatic projections. It also informs policymaking through climate risk assessment, forecast-based management systems, and simulations for diverse crops and cropping systems. These applications offer opportunities for bibliometric analysis, a quantitative method for analyzing trends in academic research and publications to explore the impact, trends, and research gaps in this research domain. We conducted a bibliometric analysis of APSIM-related research publications indexed in the Scopus database. The analysis reveals an exponential growth of APSIM-related research from 1989 to 2023, with 1273 documents published across 118 scholarly journals, indicating the model's increasing relevance in addressing the critical challenges of global agricultural research. Our analyses identify the contributions and collaborative networks among authors, journals, institutions, and countries. It identifies key emerging issues, including climate change adaptation and mitigation, precision agriculture, and advancements in crop modeling, indicating the adaptability of APSIM to modern agricultural challenges. These findings will serve as valuable resources for researchers to facilitate collaboration, innovation, and informed decision-making in addressing the complex demands of 21st century agriculture.
农业研究一直通过将先进技术融入农业系统而不断进步。随着模拟模型的发展，农业生产系统研究发生了重大的范式转变，其中最著名的是农业生产系统模拟器（APSIM）。APSIM支持农业领域的广泛应用，包括基于历史气候数据和未来气候预测的农场决策。它还通过气候风险评估、基于预测的管理系统以及对不同作物和种植系统的模拟为政策制定提供信息。这些应用为文献计量分析提供了机会，文献计量分析是一种定量分析学术研究和出版物趋势的方法，用于探索该研究领域的影响、趋势和研究差距。我们对Scopus数据库中索引的与APSIM相关的研究出版物进行了文献计量分析。分析显示，1989年至2023年期间，与APSIM相关的研究呈指数增长，118种学术期刊共发表了1273篇文献，表明该模型在应对全球农业研究的关键挑战方面的相关性日益增加。我们的分析确定了作者、期刊、机构和国家之间的贡献和合作网络。它确定了关键的新出现问题，包括气候变化适应与缓解、精准农业以及作物建模的进展，表明APSIM对现代农业挑战的适应性。这些发现将为研究人员提供宝贵资源，以促进在应对21世纪农业复杂需求方面的合作、创新和明智决策。
