Rajvir Yadav
Papers
1
Total Citations
2
H-Index
1
About
Dr. Rajvir Yadav is a pioneering researcher in agricultural mechatronics and precision farming, with a focus on developing intelligent machinery to enhance crop productivity. His key research areas include the design and optimization of remote-controlled precision planters, seed metering systems, and the application of hybrid artificial intelligence models—such as Particle Swarm Optimization combined with Artificial Neural Networks (PSO-ANN)—to improve agricultural equipment performance. Dr. Yadav’s most notable contribution is the development of a remote-controlled mechatronic precision planter tailored for cotton cultivation, which ensures accurate seed placement with uniform spacing and optimal depth. By employing a Hybrid PSO-ANN model, he significantly enhanced operational efficiency and seed metering accuracy, addressing critical challenges in mechanized farming. His work, published in 2025 and already garnering 2 citations, demonstrates immediate impact and relevance in the field. This innovative approach not only reduces labor dependency but also boosts crop yields, marking a substantial step toward sustainable, data-driven agriculture. Dr. Yadav’s research stands at the intersection of robotics, AI, and agronomy, offering practical solutions for modern farming challenges.
Research Focus
Key Achievements
Top Papers
- 1