Akshat Kumar V K
Papers
1
Total Citations
9
H-Index
1
About
Akshat Kumar V K is a researcher at the forefront of applying deep learning to agricultural automation, with a primary focus on computer vision and precision farming. His most notable contribution is the development of a real-time bird eye chili classification system using the YOLO V5 framework, a pioneering work that demonstrates how state-of-the-art object detection can streamline agricultural sorting processes. This 2023 paper, already garnering 9 citations, showcases his ability to bridge advanced AI techniques with practical, industry-relevant challenges. By adapting YOLO V5 for the nuanced task of identifying and grading 'kantahri mulaku' (bird eye chilies), Akshat has provided a scalable, efficient solution that reduces manual labor and enhances quality control in the agricultural sector. His work sits at the intersection of computer vision, deep learning, and agritech, offering a template for similar classification systems in other crops. With a growing citation footprint and a clear focus on real-world impact, Akshat Kumar V K is establishing himself as an emerging voice in the application of AI to solve tangible problems in food production and agricultural technology.
Research Focus
Key Achievements
Top Papers
- 1