Irrigation management of agricultural reservoir with correlation feature selection based binary particle swarm optimization

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Yahya Nur Ifriza
Muhammad Sam'an


The requirement for the applied innovation to farming water system is especially required for supplies, as rural water system focuses. Supplies as one of horticulture water system asset focus that are regularly constraints identified with the conveyance of repository water stream, this brought about lopsided dissemination of rural water system and the term of control of agrarian water system that streams from water system asset focuses. At the point when ranchers need to change the water system way, it will take a long effort to make another water system way. From these troubles to convey rural water systems simpler, it is important to plan a specialist framework to decide rural water system choices. A few researchers focused on improved quality of plant. There have been limited studies concerned with irrigation management Therefore, this research intends to design The objectives of this research are optimization irrigation management of agricultural reservoirs with CFS-BPSO. The consequences of this investigation demonstrate that the exactness of the utilization of the SVM calculation is 62.32%, while after utilizing the CFS calculation precision of 84.12% is acquired and exactness of ten SVM calculations by applying a blend of CFS highlight choice. also, BPSO 91.84%.


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How to Cite
Y. N. Ifriza and M. Sam’an, “Irrigation management of agricultural reservoir with correlation feature selection based binary particle swarm optimization”, JOSCEX, vol. 2, no. 1, pp. 40-45, Mar. 2021.
Author Biography

Muhammad Sam'an, Universiti Tunn Husein Onn Malaysia

Postgradute student, faculty of technologi management and business


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