Kaiqian Peng

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About

Kaiqian Peng is a researcher at the forefront of applying machine vision and artificial intelligence to precision agriculture, with a particular focus on plant health monitoring and crop production. Her work addresses critical challenges in controlled-environment agriculture and orchard management. In her highly cited 2023 study on lettuce plants, Peng pioneered the use of machine vision methods to identify trace-element-deficiency symptoms, a problem that causes significant economic losses in plant factories. This work, which has garnered 16 citations, tackles the difficulty of detecting non-obvious deficiency symptoms and inconsistent characteristic areas, offering a practical solution for real-time nutrient management. Additionally, her comprehensive review on the application of machine vision in citrus production (10 citations) has been instrumental in advancing the standardization of modern citrus orchards. By synthesizing how vision technology can drive industrial development, Peng has helped bridge the gap between cutting-edge computer science and practical agricultural needs. Her research is vital for developing automated, data-driven systems that enhance crop yield and quality, making her a key contributor to the future of smart and sustainable farming.