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- W4283026222 abstract "Internet-of- Things (IoT) is considered as a type of large-scale and distributed network, which consists of massive low-cost, and battery-constrained sensor nodes deployed in the environment. In traditional networks, sensor nodes perceive environmental information periodically and trans mit the collected data to the base station or sink node for analysis. IoT finds valuable application in many research areas and particularly, in agricultural applications mainly, disease prediction, and yield prediction. There are so many methods existing in the literature to facilitate an effective prediction in agricultural applications. Hence, this survey analyzes the existing research concentrating on prediction problems associated with IoT agricultural applications, bringing into light various shortcomings of existing methodologies for prediction problems associated with IoT-agricultural applications. Here, analysis of various methods is facilitated based on several factors, such as performance metrics, year of publication and journals, achievements of the techniques in numerical evaluations, and so on. On the other hand, an analysis of the methods concerningthe merits and demerits of the methods are presented. Lastly, the paper discusses potential future research directions and challenges in achieving better prediction accuracy in s mart agricultural applications." @default.
- W4283026222 created "2022-06-18" @default.
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- W4283026222 creator A5039920131 @default.
- W4283026222 date "2022-05-09" @default.
- W4283026222 modified "2023-10-12" @default.
- W4283026222 title "A review on Smart Agricultural Applications: Crop yield and Plant disease Prediction" @default.
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- W4283026222 doi "https://doi.org/10.1109/icaaic53929.2022.9792736" @default.
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