Abdullah M. Alnajim
Papers
2
Total Citations
34
H-Index
2
About
Abdullah M. Alnajim is a researcher at the forefront of intelligent automation and IoT-driven agricultural systems. His work primarily focuses on integrating artificial intelligence, robotics, and sensor technologies to solve real-world challenges in smart farming and autonomous navigation. In his highly cited 2022 study, "Design and Implementation: An IoT-Framework-Based Automated Wastewater Irrigation System," Alnajim demonstrated how cloud computing and sensor networks can replace conventional irrigation methods, achieving 26 citations for its practical impact on water conservation and agricultural efficiency. More recently, his 2024 paper on "Chaotic sequence-driven path planning for autonomous robot terrain coverage" introduces innovative algorithms for optimizing robotic movement across uneven landscapes, a critical advancement for precision agriculture and environmental monitoring. With a growing portfolio that bridges theoretical robotics and applied IoT solutions, Alnajim’s work is shaping the next generation of autonomous systems for sustainable resource management. His contributions are particularly valuable for researchers exploring the intersection of chaotic dynamics, path planning, and real-world deployment in agriculture.
Research Focus
Key Achievements
Top Papers
- 1
- 2