<![CDATA[Greenhouse microclimate monitoring is essential to maintain plant productivity, yet it is still commonly performed manually or with poorly integrated systems. This research designs and implements an IoT-based Greenhouse microclimate monitoring system using an ESP32 microcontroller integrated with five sensors (DHT22, BMP280, DS18B20, BH1750, and MQ-135), equipped with an LCD display, MicroSD data storage, a web dashboard, and real-time notifications via Telegram and buzzer as threshold alerts. Testing was carried out through sensor calibration/comparison against standard instruments, functional testing, and a 7-day field test at Hydroponic Greenhouse of KWT Mawar 8, Tangerang City, with most sensors well calibrated against the standard instruments. The field test shows high system reliability, with 98.81% data completeness and no significant downtime, and successfully detected microclimate conditions outside the ideal range, particularly air and water temperature during the day and humidity at night, which could potentially cause heat stress, root rot, and fungal disease risk in lettuce plants. The threshold alert feature via Telegram and buzzer is validated to function properly in providing early warnings under real operating conditions Keywords: IoT, Greenhouse, microclimate monitoring, ESP32, threshold alert, Telegram .]]>
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