… 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 …

… Although agricultural practice is broad, this research considers soil, crop, disease and … to
agricultural production. It is paramount to review the application of AI to agriculture in respect to …

… The definition used in the present paper is ‘artificial intelligence is where machines exhibit
some degree of intelligence’ (Russell and Norvig 2016 explored the various definitions in …

The application of AI in agriculture has been widely considered as one of the most viable
solutions to address food inadequacy and to adapt to the need of a growing population. This …

… paper emphasizes the applications of Artificial Intelligence practices in different domains
of agricultural science, the industry insights, and the challenges to adopting AI in agriculture. …

… its need in Agriculture. The process of AI in Agriculture and some Agriculture parameters
monitored … Finally, we identified and discussed the significant applications of AI in agriculture. …

… Artificial intelligence, one of the relevant areas of technology, is transforming the agriculture
… different clusters and trends linking Artificial Intelligence and green economy, sustainable …

… IoT, big data, and artificial intelligence (AI) and their disruptive … in agriculture (including
greenhouse monitoring, intelligent farm … relevant machine learning tools for artificial intelligence is …

… the agricultural sector, including crop monitoring, soil management, pest detection, and a lot
more. The primary idea of using artificial intelligence in agriculture … of artificial intelligence in …

… Artificial intelligence (AI) has emerged as a promising technology in digital agriculture. Digital
agriculture relates to using digital technologies for collecting, storing, and further analyzing …