This study aims to determine the impact of the type of ICT usage on household income from main vegetables, agriculture (including main vegetables), and total income. This study is based on surveys and interviews with vegetable farmers using structured questionnaires conducted in three villages in Indonesia, including Cianjur, Sleman, and Malang in West Java, Yogyakarta, and East Java, respectively. The data were collected from 375 respondents selected in each region from November 2021 to March 2022. An econometric model called the multivariate linear regression (MLR) model is used to assess heterogeneous factors that influence the possibility of increasing the income of vegetable farmers. The study found that variables that use ICT as a primary variable, household, marketing, geographical characteristics, and immediate source information in agriculture have a significant impact on household income (P < 0.01) from primary vegetables, agriculture, and total income, with multiple R squares of 70.5, 72.0, 73.7% and F statistics of 28.48, 30.66, and 33.34, respectively. In summary, this novel study shows that the five categories of information technology used in farming and selling of harvest have a positive impact on household incomes

Since its arrival in late November 2022, chatGPT has rapidly gained popularity and significantly impacted how research is planned, conducted, and published. This article presents the findings of a brief study investigating the responses and perceptions of soil scientists in Indonesia towards chatGPT. This artificial intelligence application facilitates conversation-based interactions in text format. The study evaluated ten chatGPT answers to fundamental questions in soil science, which has developed into a normal science with a mutually agreed-upon paradigm. The evaluation was carried out by five soil scientists recognized for their expertise in Indonesia, using a scale of 1 to 100. In addition, a questionnaire was distributed to soil scientists at the National Research and Innovation Agency (BRIN), universities, and members of the Indonesian Soil Science Association (HITI) to gauge their perception of chatGPT’s presence in the research field. The study results indicate that the level of trust of soil science experts in Indonesia to chatGPT answers has reached above 80%. However, there are no significant of different of chatGPT answers free chat GPT and paid chatGPT. There is only a significant difference between the answers to long answer of paid chatGPT in Bahasa Indonesia and long answer of chatGPT in English. On the other hand, the perception of general soil scientist about level of trust only 55%. Furthermore, 80% of soil scientists believe that chatGPT can only be used as a digital tool to assist research in soil science and cannot be used without the involvement of soil scientists.

Sorghum has become increasingly popular for diverse applications, including food, feed, and bioenergy. The present study aimed to perform a bibliometric and content analysis on sorghum research in the industrial-agricultural sector to evaluate global research patterns, emerging topics, and future trends. The bibliometric analysis of the Scopus bibliographic metadata was done using Bibliometrix and Vosviewer. The results of this investigation show the descriptive analysis underscored fluctuation in research output and citation impact over the years. The identified four patterns through co-occurrence analysis encompassed central themes of sorghum research, including genetic expression and plant stress cluster, cereal crop and yield cluster, biomass and microbial bioprocessing, and metabolism and antioxidant cluster. The thematic map portrays a comprehensive view of cereal crops and yields, biomass and microbial bioprocessing, metabolism and antioxidant research, environmental remediation and sustainable agriculture practices, and the declining theme of starch. The findings provide valuable insights into the global pattern of sorghum research and emerging trends, thus directing future multidisciplinary research efforts for enhanced knowledge and sustainable practices in the industrial-agricultural sector.

Information and communication technology have developed rapidly including smartphones and internet dispersing significantly in developing countries. The article aimed to explore the attitude farmers in regard to ICT usage (mobile phone, internet, and or smartphones) and to find the level of ICT Literacy of small farmers. The survey for collecting data from 277 vegetable-smallholder farmers were conducted in January to March 2022 in three provinces of Indonesia by using questionnaires. This research followed the theory of ICT Literacy adjusted with agricultural sector. The research found that the level of Agricultural ICT Literacy in Indonesia was 2.44 of scale 4.00 indicating that the farmers have competency for using digital technology. The article also found that farmers have different type in regard to usage of ICT device divided into five categories probably affecting farming and marketing activities, i.e. (1) none phone usage, (2) ordinary handphone, (3) smartphone installed Whatsapp only, (4) smartphone installed more than one application of media social, and (5) smartphone installed with media social and other applications. These finding can be an important recommendation for policy makers in the development of ICT in developing countries and as a reference for future researches.

The rapid digitalisation of agricultural markets has boosted e-commerce platform adoption, fueled by emerging technologies like blockchain, artificial intelligence (AI), and the Internet of Things (IoT). Despite growing scholarly interest, studies on agricultural e-commerce remain fragmented across technologies, regions, and contexts, hindering a holistic view of the field's intellectual structure and evolution. This study systematically maps global research on agricultural e-commerce and explores how these digital technologies enhance supply chain efficiency and market access. Using 820 publications from Scopus and Web of Science, we conducted bibliometric analysis with Biblioshiny and VOSviewer. These tools examined publication trends, leading sources and countries, collaboration networks, keyword co-occurrence, and thematic evolution. Results reveal a steady research surge since 2015, led by China, the United States, and European nations. Keyword networks and overlays highlight blockchain, IoT, and AI as dominant themes post-2020, emphasizing traceability, logistics optimization, and data-driven decisions in supply chains. This study's novelty is its integrated bibliometric framework linking digital technologies to supply chain efficiency and market access,,offering a foundation for future empirical studies and policy-making.