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All Journal Digital Agriculture and Innovation Journal
Sri Wahyuni Lubis
IPB University
Agriculture, Biological Sciences & Forestry

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Utilization System Big Data -Based Pest Prediction in Plants Horticulture : Study Cases in Tropical Regions Sri Wahyuni Lubis
Digital Agriculture and Innovation Journal Vol. 1 No. 2 (2025): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v1i2.9

Abstract

Attack difficult pests​ predicted is challenge main in cultivation plant horticulture in tropical regions . Research This aim For evaluate utilization system prediction pest big data based designed For give warning early and recommendations more control​ accurate . Approach research used​ is qualitative with method studies case to three group farmer horticulture in tropical Indonesia. Data collected through interview in-depth , observation field , and documentation use A predictive digital system that integrates microclimate data , field sensors , and machine learning algorithms . Research results show that use system This lower intensity attack pest by 30–50% and increase efficiency use pesticides . Farmers with greater digital literacy tall show level adoption more systems​ good . Findings This give contribution important for development system agriculture adaptive precision​ to change climate tropical and can push taking decision data- based at the level field .
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