Rakesh Ranjan

The Conservation Fund

Papers

1

Total Citations

10

H-Index

1

About

Dr. Rakesh Ranjan is a leading researcher in agricultural robotics and intelligent automation, with a core focus on developing precise, AI-driven solutions for complex field operations. His most impactful work centers on the optimization of robotic manipulators for cotton harvesting, where he has pioneered the use of evolutionary algorithms to enhance machine perception and control. In his highly cited 2023 study, Dr. Ranjan introduced a novel particle swarm optimization (PSO)-assisted artificial neural network to solve the inverse kinematics of a 4-DoF cotton-picking robot, achieving remarkable precision in locating and grasping cotton bolls in three-dimensional field space. This work, which has already garnered 10 citations, demonstrates his ability to bridge theoretical modeling with practical agricultural challenges. By integrating advanced neural networks with evolutionary computation, Dr. Ranjan is pushing the boundaries of autonomous harvesting, significantly improving the efficiency and accuracy of robotic systems. His contributions are not only advancing the field of precision agriculture but also laying the groundwork for more sustainable and labor-efficient farming practices, making him a pivotal figure in the next generation of smart farming technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Optimizing cotton‐picking robotic manipulator and inverse kinematics modeling using evolutionary algorithm‐assisted artificial neural network
10 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: The Conservation Fund

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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