## 5 Conclusions and Future Work  
A systematic assessment of the Internet of Things technologies applied in the agricultural domain for crops is yet to be available. With objective information about the current research output, it is easier to plan for necessary improvements in the infrastructure related to understanding, treating, and preventing crop diseases. Thus, it is essential to accurately assess the global and regional productivity of the ongoing research in smart agriculture.  
A bibliometric analysis is used to analyze research records and scholars and generate evidence that researchers in that area can find. Writing the literature survey would be helpful. The report also assists in finding and mapping gaps in the literature. This report often contains information on emerging research developments. The author's collaboration in the work represents their interests in that area. Universities, as opposed to corporations, offer tremendous effort. From 2013 to 2020, the United States led the IoT in plant disease research. The study's results suggest that studies should be based on issues that support people who work in the field and will profit more from plants because they play such an essential role in humanity's survival.  
The bulk of scholars used the English language to publish their results. It was found that very little work was placed into publishing documents in the initial years of 2013 to 2016. However, the graph is increasing every year, suggesting that 2019 and 2020 are the years in which most documents have been written in this research domain. Countries such as India and the United States are making more significant contributions to science in this field. Articles are the most common source type, accounting for 51% of the time researchers use to write their science papers. According to the findings, 36 of the 146 articles in the extracted literature are examination papers. Internet of Things, Artificial Intelligence, Precision Agriculture, Agriculture, Forecasting, Wireless Sensor Networks, Agriculture Robots, Crops, and IoT, are the prime keywords for the bibliometric study of smart agriculture. As a result, keywords are the most focused domains in smart agriculture, and we should study them further. According to the statistics, the Skolkovo Institute of Science and Technology, along with Shadrin D, has enormously contributed to this field of study. The years of 2020 and 2019 have the most significant citations, while 2016 has the lowest number of citations. Researchers should study this sector, which was previously ignored due to the need to explore the field of smart agriculture.  
The current research is limited to articles contained in the Scopus dataset. The scientific records in other research databases such as Web of Science and Google Scholar are not taken into account for the current research investigation. The authors chose the search terms for the Scopus database. The researcher believes that the keyword combination selected for the study may be changed or reorganized. The findings are based on papers written  
Figure 18: Word cloud for “Big Data and cloud computing: Innovation opportunities and challenges”.  
between 2013 and 2021. This research analysis takes into account records written in English. Secondary records contained in Scopus are not part of a research initiative and can be used to supplement the study.  
Conceptualization, R.R.P. and S.K.; methodology, R.R.P. and R.R.; software, R.R.P.; validation, R.R.P.; formal analysis, S.K.; resources, R.R. and R.R.P.; writing--original draft preparation, R.R.P. and S.K.; writing--review and editing, P.A., S.K.P and S.K.; supervision, S.K.; project administration, S.K.; funding acquisition, P.A. and S.K.P. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
Not applicable.  
The authors declare no conflict of interest.