<![CDATA[One of the factors affecting crop yields is the condition of nutrients in plants. The nutrient condition, particularly nitrogen, can be identified through the chlorophyll content in plant leaves, which can be measured using a chlorophyll meter. However, current chlorophyll meters are still expensive and have limitations such as limited data storage, with data being lost if there is no power supply. In this paper, an ESP32-based chlorophyll meter was developed to store chlorophyll content index (CCI) data in a memory module, enabling the data to be used for nitrogen status analysis. The plant used for chlorophyll measurement in this study was the jumbo sugar apple plant. The research methods included literature reviews from previous studies, design, implementation, and performance testing of the ESP32-based chlorophyll meter compared to the TYS-A chlorophyll meter in measuring the chlorophyll content of jumbo sugar apple leaves. The test results showed a determination coefficient (R²) of 0.9517 between the TYS-A values and those of the ESP32-based chlorophyll meter, indicating a significant correlation. The ESP32-based chlorophyll meter functioned effectively, being capable of measuring the chlorophyll index of jumbo sugar apple plant and storing the chlorophyll index data in a memory module. The ESP32-based chlorophyll meter can serve as an affordable alternative to the TYS-A chlorophyll meter.]]>
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