Papers
1
Total Citations
5
H-Index
1
About
Zia Ul Haq is a rising researcher in agricultural robotics and precision farming, with a focus on the digital transformation of crop production systems. His most cited work introduces a pioneering digital twin model for a rack and pinion drive vegetable seedling transmission device, developed through Adams/MATLAB co-simulation. This contribution enables real-time virtual testing of mechanical seedling handling, reducing physical prototyping costs and improving transplanting accuracy. With 5 citations since its 2025 publication, this paper has quickly attracted attention from peers working on smart agriculture and mechatronic design. Haq’s research bridges mechanical engineering and digital simulation, offering scalable solutions for automated seedling transplantation—a critical bottleneck in modern horticulture. His work stands out for its practical integration of co-simulation techniques, providing a replicable framework for optimizing transmission dynamics in agricultural machinery. As a young scholar, Haq is establishing a reputation for advancing digital twin applications in field robotics, with potential impacts on food security and labor efficiency. His trajectory suggests a growing influence in the intersection of simulation science and sustainable agriculture.
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Top Papers
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