Applications of Expert System in Agriculture

Document Type

Journal Article


Editorial Board of International Journal of Pure and Applied Research in Engineering and Technology


Faculty of Health, Engineering and Science


School of Computer and Security Science / eAgriculture Research Group




Gandhi, N., Wankhede, S., & Armstrong, L. (2014). Applications of Expert System in Agriculture. International Journal of Pure and Applied Research in Engineering and Technology, 3(1), 86-94. Available here


Information can be found in various forms and/or generated from knowledge. Text, images, audio and video are different forms of media on which information can be collected. The role of information technology is to invent and devise tools to store and retrieve this information. Expert systems can be defined as tools for information generation from knowledge that is capable of acting in accordance to a human reasoning process, giving similar advices and making similar decisions parallel to what a human expertise might achieve. Expert systems can become beneficial assistants to human decision makers, capable in the gathering of vast numbers of information and experience from multiple human experts of numerous disciplines and providing valuable recommendations to users. Ultimately, an expert system has the advantage of speeding up the decision making process. An Expert system use Artificial Intelligence and is being used for a wide range of fields including agriculture. In this paper the need of expert systems in agriculture is discussed and their importance as tools for information transfer through information generation from knowledge and expertise explored. Currently available expert systems in the agricultural domain are examined along with an assessment of their features and limitations. The paper has shown the possible benefits of an expert system over traditional method of decision making. This study reveals existence of some examples of expert systems for agriculture; more research is required to examine the effectiveness of these systems.

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