<![CDATA[The escalating volatility of Nilaparvata lugens (Brown Planthopper) populations threatens national rice sovereignty and necessitates proactive pest management strategies. This research developed an Internet of Things (IoT)-based architecture integrating terrestrial microclimatic sensors with satellite-based vegetation indices across 4,500 hectares of paddy fields in Indramayu Regency. Fifteen LoRaWAN-enabled sensor nodes achieved 98.45% data transmission integrity. The system detected humidity-driven population surges (>85% RH for 72 hours) four days earlier than conventional visual observations. ANOVA analysis confirmed significant spatial positioning effects (F(2, 42) = 15.67, p = .001). In addition, monitored plots demonstrated 1.4 tons/Ha higher grain yields and a 30% reduction in pesticide costs compared to traditional farming. The integration of sensor thermodynamics with BRIN NDVI data establishes a technically viable blueprint for Agriculture 4.0. These findings provide empirical evidence that precision digital interventions can enhance food production resilience in Indonesia.]]>
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