Dasari Hema Teja Anirudh Babu
Papers
1
Total Citations
11
H-Index
1
About
Dasari Hema Teja Anirudh Babu is a researcher specializing in machine learning applications for agricultural and environmental monitoring. His most cited work, "Coconut trees classification based on height, inclination, and orientation using MIN-SVM algorithm" (2023), has garnered 11 citations, demonstrating early impact in precision agriculture. Babu’s primary research areas include remote sensing, image processing, and support vector machine optimization, with a focus on developing automated systems for tree health assessment and land management. His MIN-SVM algorithm represents a novel approach to classifying coconut palm attributes—height, inclination, and orientation—enabling efficient large-scale plantation surveys. This work contributes to sustainable farming practices by reducing manual inspection costs and improving yield prediction accuracy. Babu’s research bridges computer vision and agronomy, offering scalable solutions for tropical agriculture challenges. His achievements include advancing algorithmic efficiency in feature extraction for tree classification, with potential applications in disaster risk assessment and urban forestry. As an emerging scholar, Babu’s work is gaining recognition for its practical relevance in developing regions where coconut cultivation is economically vital.
Research Focus
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Top Papers
- 1