Nuttapoom Sudkaew

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About

Nuttapoom Sudkaew is a researcher specializing in precision agriculture and agricultural robotics, with a focus on integrating computer vision and automation to optimize crop management. His major contribution lies in the development of a foliar fertilizer robot for raised bed greenhouses, which employs an NDVI (Normalized Difference Vegetation Index) image processing system to dynamically adjust fertilizer spray volume based on plant health. This work, published in 2021 and garnering 7 citations, demonstrates a practical application of vegetation index analysis for targeted nutrient delivery, reducing waste and improving efficiency in controlled-environment agriculture. By designing a cartesian robot tested on Green Oak lettuce, Sudkaew bridges the gap between sensor-based plant monitoring and autonomous field operations. His research addresses key challenges in sustainable farming, such as resource optimization and labor reduction, making it relevant for students and researchers exploring smart greenhouse technologies. Though early in his citation impact, this work highlights his potential to advance data-driven agricultural systems.