Smart heterogeneous precision agriculture using wireless sensor network based on extended Kalman filter

Hamouda, Yousef E. M. and Msallam, Mohammed M. (2018) Smart heterogeneous precision agriculture using wireless sensor network based on extended Kalman filter. Neural Computing and Applications. ISSN 0941-0643

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Official URL: http://doi.org/10.1007/s00521-018-3386-4

Abstract

Smart heterogeneous precision agriculture (SHPA) using a wireless sensor network is introduced for limited energy sensor nodes, deployed in an agricultural farm which is divided into a number of heterogeneous agricultural areas. At each time step, the extended Kalman filter is adopted to measure and to predict the agricultural parameters including the soil moisture and temperature so that the noise associated with noisy measurements is filtered. After that, sensor node selection algorithm proactively selects the sensor nodes for each individual area to sense the agricultural parameters. Thus, the network lifetime and sensing accuracy are improved. The sampling interval for each crop is predefined based on the crop types and agricultural requirements so that the crop yields are improved. Also, the design, framework, algorithms, and architecture of SHPA are considered and proposed. Compared with other schemes, simulation results show that the proposed SHPA scheme eliminates the noise associated with the measurements, improves the network lifetime and sensing accuracy, and enhances the crop yields.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User: أ. محمد محمود عبد القادر مسلم
Date Deposited: 25 Mar 2018 16:42
Last Modified: 25 Mar 2018 16:42
URI: http://scholar.alaqsa.edu.ps/id/eprint/354

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