Desire and need of people to communicate with a machine with the advancement of technology affect the natural language processing evolution. Communication between humans and machines is indispensable day by day. The automatic speech recognition system plays a crucial role. It is a method of communicating to machines by using speech. In the early days, farmers relied on clouds for rain. They are now looking towards Cloud Computing (CC) as a solution for cultivating crop production. With excessive use of chemicals, sudden climate change, bacterial attacks, and lack of information, the crop is damaged every year in India. In this research, various techniques related to speech recognition in field agriculture have been studied in detail. Most of the speech recognition systems are based on isolated keywords specifically designed for accessing the price of commodities. Some are designed to assist farmers based on crop symptoms. There is an agricultural voice-based speech recognition system through oral description using isolated speech databases. This study helps to compare different tools and techniques of speech recognition that are used in agriculture.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.