Mansi Murekar

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About

Mansi Murekar is a researcher at the forefront of applying artificial intelligence and smart communication systems to agriculture. Her most-cited work, "Smart Communication System for Agriculture" (2022), addresses a critical challenge in precision farming: the accurate identification of tomato leaf diseases. Recognizing that traditional data augmentation methods—such as rotation and flipping—fail to capture the complex variability of disease symptoms in real-world fields, Murekar’s research proposes innovative computational approaches to enhance disease detection. By improving the robustness of machine learning models for agricultural diagnostics, her work directly supports farmers in spotting crop conditions earlier and more reliably, with the goal of reducing yield loss. Garnering 20 citations since publication, this paper has already influenced discussions on smart farming and computer vision in agriculture. Murekar’s contributions lie at the intersection of IoT-enabled communication and deep learning, demonstrating how tailored AI solutions can overcome the limitations of standard augmentation strategies. Her research is particularly valuable for students and practitioners seeking to bridge the gap between theoretical computer science and practical, field-deployable agricultural tools.