Contemporary Trends in Plant Health Care and Agriculture Extension Services

Abstract

The present communication is a survey of digital tools related to plant health care which is beneficial for farmers. The computational methods are used by researchers these days for developing agricultural extension services. This research used more than 200 research papers in which nine diverse research issues are observed in this survey. We have identified 9 research areas in plant health care in which computational methods can be used. Image processing is the most common computational method used by researchers in solving plant health care related issues. The computational methods are also identified based on each research area separately. We have identified most commonly used computational tool for each of the nine plant health care issue. One of the observations is that the researchers use Decision Support Systems tools for sharing knowledge about plant health care. The results of this study will be helpful for computer scientists to select research gaps in plant health care related issues.

Keywords: Agriculture extension services, Computational methods, Digital tools, Plant health care.

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