WSEAS Transactions on Computers
Print ISSN: 1109-2750, E-ISSN: 2224-2872
Volume 17, 2018
A Proficient Microclimate and Assisted Sustainable Agriculture using Data Analytics
Authors: , , , ,
Abstract: A proficient microclimate and assisted sustainable agriculture is done using data analytics. The climatic conditions of different places vary with respect to the environment. This is called as microclimatic condition. The changes in the microclimate may affect the agricultural growth. Understanding the behavior of the complex ecosystem, monitor only the climatic conditions and displays the nearby location of shadow is done in the existing system (Used in smart city environment).Only the Urban Heat Island(UHI) effect[15] is monitored. The drawback of the existing system is, the usage of these details in not up to the greater extend. The goal of the proposed system is to provide solution to improve the growth of agriculture when there is a microclimatic change. The project in new methodology is to implement proficient microclimate analysis, to display type of crop and level of irrigation. The climatic conditions of locations such as, Coimbatore, Madurai are collected from Tamil Nadu Agricultural University (TNAU). The collected dataset is processed in RStudio using Boruta algorithm and fuzzy rule based system to address the above challenges. The proposed system helps to improve the agricultural growth of the nation. The final system displays the type of crop to be planted and level of irrigation to be provided to improve the crop plantation and will be disseminated to farmers via website.
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Keywords: Data analytics, Sustainable agriculture, Urban Heat Island effect (UHI), Boruta algorithm, Fuzzy rule based system, irrigation
Pages: 212-219
WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2872, Volume 17, 2018, Art. #26