Ajay Arunachalam

Örebro University

Papers

4

Total Citations

59

H-Index

4

About

Ajay Arunachalam is pioneering the intersection of robotics and plant science, with a focus on precision agriculture and controlled-environment cultivation. His research centers on developing robotic platforms to induce mechanical stress in crops, exploring how this novel intervention can enhance plant quality, metabolism, and sensory attributes. In his highly cited 2021 work, he introduced a vision-based platform for real-time plant phenomics under robotic farming, enabling complex phenotyping tasks with 24 citations. His subsequent studies, including a 2022 paper with 16 citations, reveal that controlled mechanical stimuli (CMS) can significantly alter basil’s metabolic profile—affecting organic acids, amino acids, and phenolic compounds—while improving sensory quality. Another notable contribution, with 12 citations, employs a semi-trained culinary panel to evaluate robot-cultivated basil, demonstrating that mechanical stress can enhance flavor and nutritional content. Arunachalam’s multidisciplinary approach, merging robotics, biochemistry, and sensory science, has reshaped understanding of how automation can optimize crop production. His work not only advances smart farming but also offers practical pathways for improving food quality through non-chemical interventions, marking him as a key innovator in agricultural robotics and plant phenomics.

Research Focus

Key Achievements

4
H-Index
4
Papers
59
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Real-time plant phenomics under robotic farming setup: A vision-based platform for complex plant phenotyping tasks
24 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Örebro University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago