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ARS Home » Southeast Area » Miami, Florida » Subtropical Horticulture Research » Research » Publications at this Location » Publication #432667
Research Project: Conservation, Management, Characterization, and Distribution of Subtropical and Tropical Ornamental Genetic Resources

Location: Subtropical Horticulture Research

Title: Smart fertilization: sensor-based nitrogen optimization for lagerstroemia speciosa

Author
item FARINA, SOFIA LOPEZ - Florida International University
item Nageswara Rao, Madhugiri
item KHODDAMZADEH, AMIR - Florida International University

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 2/6/2025
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Lagerstroemia speciosa, commonly known as Queen’s Flower or Giant Crepe Myrtle, is a widely cultivated ornamental plant valued for its vibrant, long-lasting blooms. In South Florida, where soil conditions and climate variability pose challenges to plant nutrition, optimizing nitrogen management is essential for sustainable production. This study aims to establish a smart and precision nitrogen management framework for L. speciosa by monitoring chlorophyll content and plant response using optical sensors. The experiment was conducted at the USDA Agricultural Research Service, Subtropical Horticulture Research Station in Miami, Florida, utilizing thirty 2-year-old plants divided into six fertilization treatment groups. Data collection included baseline readings followed by eight monthly assessments using SPAD, NDVI, and atLEAF sensors. Results indicated that lower nitrogen treatments provided sufficient nutrient levels for optimal growth, with T1 yielding the highest SPAD and NDVI values and T4 demonstrating the highest atLEAF readings. These findings suggest that precise nitrogen application can improve nutrient efficiency while minimizing excess fertilizer use, aligning with sustainable horticultural practices. This study contributes to data-driven and smart fertilizer optimization by integrating sensor technology, reducing environmental impacts while maintaining plant health. The results will aid growers and landscapers in adopting the best management approaches for L. speciosa, ultimately enhancing ornamental plant production and landscape sustainability.