… This article reviews the topic of artificial intelligence in the agriculture (AIA) field using the
knowledge diffusion approach (Liu et al., 2017). The research structure on AIA as the keyword …

… In Figure 6, we present a thematic map based on co-word network analysis and clustering.
This map is based on the method proposed by Cobo et al.[24] for detecting, quantifying, and …

… analysis concerning the role of Artificial Intelligence (AI) in sustainable agriculture therefore
… In the scope of this study it encompasses analysis methods such as citation network analysis…

… to encounter the challenges related to agriculture. This paper addresses the application of
artificial intelligent techniques in the major subdomain of agriculture so that the readers are …

… Artificial neural networks are one of the most important elements of machine learning and
artificial intelligence. They are inspired by the human brain structure and function as if they are …

… Artificial intelligence, one of the relevant areas of technology, is transforming the agriculture
… and a fractional counting method of clustering to analyze the scientific literature on the topic, …

… and analyze recent studies relating to the artificial intelligence techniques applied in …
analyzed the relevant studies on AI in agriculture. These findings identified summarize the analysis …

… academic journey of artificial intelligence (AI) in agriculture and to highlight the challenges
and opportunities in adopting AI-based advancement in agricultural systems and processes. …

… This study identifies and analyses relevant articles on AI for Agriculture. … Machine Learning
(ML) have transformed various industries, and the AI wave has now reached the agriculture …

… and predicting many attributes of agricultural chain production with the … agricultural processes.
This paper aims to contribute to further research on artificial intelligence in the agricultural …