stdClass Object
(
    [id] => 12872
    [paper_index] => 202404-01-016523
    [title] => A SOIL MOISTURE-BASED IRRIGATION SYSTEM BASED ON AI AND IoT
    [description] => 
    [author] => P.S.Ajishlin, K.Karpaka Priya, P.Mukesh, K.Selvaraj
    [googlescholar] => 
    [doi] => 
    [year] => 2024
    [month] => April
    [volume] => 10
    [issue] => 4
    [file] => 102am_95.EPRA JOURNALS 16523.pdf
    [abstract] => An important industry that uses a lot of water resources for irrigation is agriculture. Water utilisation in agriculture must be optimised due to the rising demand for food and the growing worry over water shortage. The effective and efficient use of water in agriculture may be increased via the combination of artificial intelligence (AI) and the Internet of Things (IoT) technologies. This study suggests a smart irrigation system that optimises agricultural water consumption by utilising IoT and AI technologies, notably the Partial Least Squares Regression (PLSR) algorithm.
    [keywords] => 
    [doj] => 2024-05-01
    [hit] => 1091
    [status] => y
    [award_status] => P
    [orderr] => 95
    [journal_id] => 1
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Multidisciplinary Research (IJMR)
    [short_code] => IJMR
    [eissn] =>  2455-3662 (Online)
    [pissn] => - --
    [home_page_wrapper] => images/products_image/11.IJMR.png
)
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