Md. Abu Ayub Siddique
Papers
1
Total Citations
5
H-Index
1
About
Md. Abu Ayub Siddique is a researcher at the forefront of agricultural electrification and intelligent control systems. His work focuses on developing advanced predictive algorithms and real-time control strategies for electric tractors, addressing critical challenges in precision agriculture and sustainable farming. In his most-cited paper, "Real-time axle-torque prediction of agricultural electric tractors using a kalman-algorithm-integrated predictive motor-speed controller" (2025), Siddique introduces a novel integration of Kalman filtering with predictive motor-speed control to accurately estimate axle torque in real time. This contribution is pivotal for enhancing the efficiency, reliability, and autonomy of electric agricultural vehicles, directly impacting the transition toward cleaner farming technologies. With 5 citations in a short period, his work is gaining traction among researchers in agricultural robotics and electric vehicle control. Siddique’s research bridges mechanical engineering, control theory, and agricultural science, offering practical solutions for reducing emissions and improving operational precision in farming. His innovative approach to integrating state estimation with predictive control marks him as an emerging leader in the electrification of agricultural machinery.
Research Focus
Key Achievements
Top Papers
- 1