Agricultural products, including root fruits, make up a large part of a person’s vital needs. Therefore, cultivating root fruits and harvesting crops without harm is one of the main tasks of agricultural events. Considering the above, it is of great importance to have information about the scientific research and scientific results achieved by our scientists in this field. To this aim, a bibliometric analysis of articles on root harvesters published in the Scopus database between 1982 and 2022 was used to understand the current state of studying cultivating agricultural products, including root fruits, and harvesting their crops and to provide references for future studies. To carry out this research different tools such as Office Excel 2021, VOS Viewer and Mapchart.net were used. The literature retrieved totaled 201 articles, of which 70% were research papers. During the last four decades, the quantity of published papers has increased significantly. For example, there were 22 papers published in 2019, 22 times increase over the number of papers published in 2002 (1 paper). It was found that the top five countries that published the most literature were China, the United States, India, the United Kingdom, and Canada, which published 44, 43, 12, 12, and 10 articles, respectively. During the chosen period 159 authors from 58 countries contributed to the given field.

This study investigates how artificial intelligence (AI) impacts academic writing, examining how it might improve language proficiency while addressing moral dilemmas. It explores AI's benefits and possible downsides via bibliometric analysis, emphasizing its impact on various academic fields and the necessity of a methodical, moral integration into language training. This review analyzes research on AI in academic writing using bibliometric methods. Publications from Scopus (2014-2024) were examined with the keywords “AI in academic writing." Data were processed through CSV, Excel, RIS, VOS viewer, and Map chart. The study identifies trends, top authors, institutions, and key research clusters in this domain. Artificial intelligence technologies, including ChatGPT and Grammarly, are acknowledged for their contributions to the improvement of writing fluency, grammatical precision, and reader engagement; however, apprehensions surrounding academic integrity and the ethical utilization of artificial intelligence continue to exist, underscoring the necessity for a judicious and ethical integration within academic contexts. This study explores the increasing significance of artificial intelligence (AI) in scholarly writing. AI applications such as ChatGPT and Jenni AI enhance writing proficiency but provoke ethical dilemmas, including issues of plagiarism and dependency. It is essential to reconcile the advantages of AI with ethical considerations.

Soil salinity is a serious disaster in many arid and agricultural regions, especially in Central Asia. The extensive economic impact of soil salinization on the national economy of Central Asian countries is significant. To solve the above problem, three systems are of great importance: drainage system, high-quality land leveling (planning) and salt washing activities. The aim of this study to review published articles on the issue of the term of soil salinity regions in Central Asia from 2000 to 2022. Aligning with this aim, we have collected, reviewed, and analyzed 661 publications, met the selection criteria in the Scopus database during 2000–2022. Bibliometric analysis showed that all articles were published in English, with the highest publication numbers coming from the Uzbekistan, Kazakhstan, Germany, China, the Russian Federation and the United States. The bibliometric analysis showed that international research on soil salinity and importance of drainage system is needed to expand the scientific exchange on this topic, as well as long-term, continuous research and sustainable development of soil salinization concepts for future agriculture and soil salinity management integration will be useful.